Jobs Data & Analytics

We are looking for a Senior Business Systems Analyst, ERP

About the Client
Our Client designs and manufactures sustainable temperature-controlled packaging for the perishable food and life sciences industries. We're a privately held, high-growth company of about 700 people. We're building the systems foundation to scale, including active Microsoft Dynamics 365 Business Central and SAP B1 implementations.

The Role
You'll be the bridge between how our business runs and how our systems support it. You'll work with manufacturing, procurement, finance, and order-to-cash teams to understand their processes and turn their needs into clear requirements. You'll configure and test solutions in Business Central/SAP B1 and our Microsoft stack. This is a hands-on role: you won't just document the work, you'll help deliver it. You'll also serve as backup coverage for our Technical Product Owner and Business Central developer.

What You'll Do

• Lead requirements sessions with business stakeholders. Map current- and future-state processes and identify gaps.
• Write user stories and acceptance criteria that developers can build from without rework.
• Configure Business Central/SAP B1 functionality and document the design decisions behind it.
• Own test planning and UAT, including test scripts, defect triage, and sign-off with business users.
• Analyze and map data using SQL for integrations, migrations, and reporting needs.
• Build and maintain low-code workflows in Power Automate and SharePoint.
• Triage production issues. Resolve configuration and data problems directly, and escalate code-level issues with clear diagnosis.
• Cover backlog management and stakeholder communication when the Technical Product Owner is out.
• Partner with BI & Analytics to make sure ERP data supports operational and financial reporting.

Requirments:

• 5+ years as a Business Systems Analyst, Business Analyst, or ERP functional consultant.
• Hands-on ERP experience across manufacturing, supply chain, or finance processes. Dynamics 365 Business Central or SAP B1 strongly preferred.
• Working knowledge of production BOMs, inventory costing, procurement, and order-to-cash flows.
• Strong SQL and data analysis skills.
• Experience writing requirements in an Agile environment using Jira or similar.
• Experience with Power Automate, SharePoint, or other low-code platforms.
• The ability to run a working session with operations or finance leaders and leave with decisions, not just notes.
• Clear, concise written communication.

Nice to Have:

• Experience in manufacturing or packaging.
• Familiarity with AL development concepts in Business Central (reading code, not writing it).
• Exposure to ITSM tools such as Freshservice.

About the Role

As a Senior Business Systems Analyst at Pearl, you’ll play a central role in enabling workflow and workforce AI transformation, with a strong emphasis on Agent Hub requirements analysis, platform support, and project coordination. This role blends classic BSA responsibilities with project management and practical AI fluency, supporting both Agent Hub product evolution and broader AI transformation initiatives across the organization.

You’ll help define and document requirements for complex AI opportunities, translate high-level ideas into actionable work, and coordinate across engineering, prompt engineering, and internal stakeholders. This is a hybrid role designed to support both requirements analysis and execution oversight for high-impact AI operations and transformation projects. You’ll be a heavy, daily user of AI tools, not just experimenting on the side, while also contributing directly to the development and improvement of AI tools and features, especially within Agent Hub and related AI transformation initiatives. This is a great opportunity for someone who wants to work at the center of a company’s AI transformation, with meaningful ownership across both platform evolution and broader AI operations, and the chance to help shape how AI enabled work gets defined, prioritized, and operationalized.

What You’ll Do

• Evaluate and document Agent Hub product requirements, including defining requirements for future platform capabilities such as next-generation meeting recap functionality
• Coordinate with the engineering team on features, bugs, and feedback to support ongoing platform improvement
• Manage and optimize the Agent Hub platform, including monitoring operational dashboards and directing follow-up actions where needed
• Test and evaluate new Agent Hub features and fixes
• Evaluate and document requirements for major AI transformation projects, such as an Analytics Deep Dive Assistant and other complex AI opportunities
• Coordinate with Prompt Engineering on the execution of AI transformation projects, from scoping through delivery
• Translate high-level, ambiguous AI ideas into clear, actionable requirements and documentation
• Use AI tools daily to support efficient execution across analysis, documentation, prioritization, and project coordination work

What We’re Looking For

• Excellent understanding of requirements development, documentation, and management (core BSA skills)
• Strong project management skills to self-manage and coordinate various activity streams
• Good understanding of Lean / Agile software development
• Strong stakeholder communication and coordination skills
• Excellent knowledge and use of AI tools and techniques across different types of work and tasks
• Ability to translate high-level, ambiguous ideas into structured, actionable requirements
• Comfort working cross-functionally with engineering, prompt engineering, and internal business stakeholders
• Strong attention to detail and ability to manage competing priorities in a fast-paced environment
• Curious, analytical mindset with a genuine interest in AI, automation, and business process improvement
• Experience monitoring operational dashboards and driving data-informed follow-up actions is a plus

Perks and Benefits

• Time off throughout the year (paid and unpaid)
• Professional development support and encouragement
• Resources to help improve your overall well-being
• Free JustAnswer membership

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

We are looking for a Senior Business Analyst!  

Requirements: 
- Exceptional core Business Analysis skills with a proven track record of eliciting, structuring, and writing clear, high-quality technical and functional requirements.
- Previous experience working in complicated, dynamic environments with a high level of uncertainty and complex cross-unit dependencies.
- Deep understanding of software development lifecycles (SDLC) and Agile methodologies.
- Proven experience drafting BRDs and decomposing them into backlog items — Epics, User Stories, and Acceptance Criteria.
- Solid knowledge of BPMN, UML, and system/block diagrams.
- Ability to communicate effectively with business stakeholders in terms of value and KPIs, and with tech teams on a technical level.
- Strong ability to break down complex business logic into actionable development tasks. 

Will be a plus: 
- Productive experience in the iGaming industry, specifically with casino games and slot mechanics.
- Knowledge of data analytics and familiarity with BI tools (Tableau, Power BI, Looker, etc.).
- Experience with API documentation.
- Familiarity with A/B testing and UX research principles.
- Knowledge of BABOK principles would be an advantage.

Responsibilities: 
- Drive the business analysis activities for launching a new domain, ensuring all product needs are accurately captured, structured, and documented.
- Act as the primary bridge and mediator between the Product team and the Technical team, translating product vision into detailed technical requirements.
- Translate business needs into actionable deliverables for development, including documentation, backlog items, epics, and user stories.
- Actively manage and groom the backlog, clarify complex logic for developers, and ensure the final technical delivery aligns with product expectations.
- Ensure business stakeholders have the required level of transparency on progress, priorities, and decisions throughout the product lifecycle.

Our benefits to you:

☘️An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance, and more

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed

🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided

🏖Paid vacations, sick leave, personal events days, days off

💵Referral program — enjoy cooperation with your colleagues and get the bonus

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences

🎯Rewards program for mentoring and coaching colleagues

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location 
 

About RiskSeal

RiskSeal is a B2B startup serving fintech clients globally. Our API-first credit risk management platform enables digital banks and consumer lenders to simplify onboarding through data-driven insights.

We are growing rapidly and value collaboration with passionate, creative professionals. Join us to innovate, contribute your expertise, and grow alongside our team.

Headquarters: Dallas, Texas, USA

European Office: Warsaw, Poland

Learn more: https://riskseal.io/ 

Job Description

We are looking for a motivated Data Scientist to join our team in a fully remote role. The ideal candidate has experience in credit risk modelling, strong Python and SQL skills, as well as hands-on experience with scoring models. You will build and optimize advanced credit risk and anti-fraud models by leveraging machine learning, anomaly detection, and alternative data alongside traditional scoring. Working with client data, you will translate complex algorithmic outputs into clear, actionable insights for clients, partners, and internal teams.

What we're looking for:

• 2+ years of hands-on experience in credit risk and credit risk modelling (must-have)
• Solid knowledge of classical methods (logistic regression, decision trees, scorecards) and ML (boosting, random forests, neural networks)
• Strong Python and SQL skills
• Background in a bank, fintech, or data vendor environment
• Experience with PD modelling, scoring, and portfolio performance metrics
• Practical understanding of credit risk strategy and portfolio management, including approval strategies, credit limits, and cutoff optimization
• Comfortable working end-to-end: from raw data to a validated, production-ready output
• Able to present findings clearly to non-technical audiences, including clients and business partners
• Upper-Intermediate English level or higher.

What you'll be doing:

• Build, validate, and improve credit risk and scoring models
• Work with our clients’ data to generate insights and deliver analysis that helps them make better decisions
• Present findings and new ideas directly to clients and partners
• Think about new analytical products and data solutions that RiskSeal can offer
• Collaborate with business, product, and tech teams to turn data insights into real value

Nice to Have

• Experience working with alternative data sources.
• Knowledge of model governance and validation frameworks.
• Experience presenting analytical solutions directly to clients.
• Exposure to fintech products, digital lending, or embedded finance.

What We Offer

● A fully remote, full-time role in a growing product fintech company
● A fast-paced environment with minimal bureaucracy and quick decision-making
● The opportunity to work on credit risk models, scoring solutions, and real client data
● Direct collaboration with business, product, and tech teams
● The chance to contribute to analytical products that create real value for clients
● Competitive compensation and opportunities for professional growth

We are looking for a Senior AI/ML Engineer to design, develop, and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready machine learning and LLM-based solutions, from understanding business needs and exploring data to designing technical approaches, implementing solutions, and integrating them into Foundry workflows. You will work closely with data engineers, business analysts, and domain experts, contribute to technical decisions, and help establish best practices for building scalable and reliable AI solutions.

Key Responsibilities:

• Design and develop AI/ML solutions for predictive analytics, classification, forecasting, automation, and AI-assisted workflows within Palantir Foundry, leveraging Python, Ontology objects, pipelines, and workflows.
• Design, implement, evaluate, and optimize LLM/NLP and RAG solutions using Palantir AIP, including prompt engineering, embeddings, retrieval strategies, vector search, and text processing.
• Own the end-to-end lifecycle of AI solutions, from experimentation and model development to deployment, monitoring, and continuous improvement.
• Collaborate with data engineers to understand data sources, ensure data quality, and design efficient and scalable data processing approaches.
• Integrate AI solutions into production workflows and optimize them for accuracy, reliability, latency, scalability, and cost-efficiency.
• Contribute to technical architecture and design decisions, including model, framework, and tool selection; proactively identify technical risks, improvement opportunities and proactively propose solutions.
• Work with business and domain stakeholders to translate business needs into practical, scalable, and production-ready AI solutions, clearly communicating technical decisions and model limitations.
• Identify technical risks, limitations, and opportunities for improvement and proactively propose solutions.

Requirements:

• 4+ years of experience in machine learning, AI engineering, applied data science, or related fields.
• Strong Python skills and hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Strong practical experience with LLMs, NLP, or GenAI applications, including prompt engineering, embeddings, text processing, summarization, or similar use cases.
• Solid hands-on experience designing and implementing RAG architectures, vector databases, and retrieval strategies.
• Strong understanding of the ML lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
• Experience working with both structured and unstructured data, including tabular data, time series, text, and documents.
• Ability to independently analyze ambiguous problems, propose technical approaches, and drive solutions from concept to implementation.
• Strong communication skills, with the ability to explain AI concepts, technical decisions, and model behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to Have:

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Strim Duo is a creative digital studio based in Limassol, Cyprus. We specialize in social game development, product engineering, UX/UI design, custom software solutions, mobile apps, and post-launch product support.
Our mission is to build products that work seamlessly across devices, delivering engaging experiences for millions of users worldwide.

The expertise we’re looking for:

• 3+ years in product or data analytics.
• Strong SQL: complex joins, window functions, query performance on large datasets (ClickHouse experience is a plus).
• Hands-on experience with at least one BI tool (QuickSight, Power BI, Tableau or similar).
• Solid understanding of statistics for experiments: significance, power, common pitfalls such as peeking and multiple comparisons.
• Python or R for analysis beyond what SQL covers.
• Ability to explain findings to non-analysts in plain language
• English (B2 or higher).

Would be a plus:

• iGaming experience and familiarity with core metrics: GGR (gross gaming revenue, total bets minus total wins), RTP (return to player, the share of bets paid back as wins), bet volume, retention.
• Experience with data quality checks or building data pipelines.

Your responsibilities will include:

• Own analytics for a set of games or a product area: KPIs, regular reporting, deep dives into player behaviour.
• Design and analyse A/B tests for game mechanics and features, from hypothesis and sample size to the final read-out.
• Build and maintain dashboards in QuickSight / Power BI on top of data in ClickHouse.
• Work with game designers, product managers and data engineers to define metrics and make sure tracking is correct.
• Take part in improving our BI setup, including data models and reporting migration.

We are looking for someone who treats an analytical area as their own, not as a queue of tickets. In practice that means:

• You take a question from a stakeholder and work out what decision it is meant to support, before you write any SQL.
• You notice when a number looks wrong (in your report or someone else’s) and chase it to the root cause instead of passing it on.
• You keep your dashboards and data pipelines alive after release: you know who uses them, check that they still show correct data, and retire what nobody needs.
• You raise problems and trade-offs early, with a proposed way forward, rather than waiting to be asked.
• You finish things: a piece of analysis ends with a clear conclusion and a recommendation, not just a table.

What we offer

• Corporate psychologist;
• Gifts for significant occasions;
• Legal support;
• Flexible working hours;
• Direct access to C-level and opportunity to suggest new business ideas and drive changes.

If you are ready to work in a dynamic team, passionate about the product, technology, and the world of entertainment, we’re waiting for your CV and portfolio to schedule an online/offline meeting and get to know each other better!

Your CV will be carefully reviewed by our TA department, and if it meets the requirements of the position, we will contact you within 3 business days to discuss the possibility of scheduling an interview.

About the Company 

Sales'Up is a leading Creatio implementation partner, helping enterprise clients across FMCG, Agro, Finance and Pharma transform their business processes. Over 8+ years, we've delivered 100+ successful CRM projects and built our own industry-specific products. 

Join us to work on complex, real-world enterprise challenges and grow together! 

Role 

We are looking for a Junior Business Systems Analyst to join our team and work at the intersection of business needs and system configuration. You'll help gather and clarify requirements from enterprise clients, work hands-on with the system, and dive into data and dashboards — growing step by step into a full business analyst role on projects for market leaders in FMCG, Agro and Finance. 

Main Responsibilities 

• Get familiar with existing system logic and handle simple to medium configuration tasks based on defined specs 
• Verify that configured scenarios actually work from the end-user's perspective 
• Help gather and clarify requirements from clients — ask the right follow-up questions when a task is underspecified 
• Understand the business problem behind each request and connect it to process, users, or expected outcome 
• Work with analytical data: navigate large data volumes, build and read dashboards 
• Provide realistic time estimates for tasks and own those estimates 
• Document what was done and flag open questions 
• Communicate calmly and clearly with clients and the internal team 

Requirements 

• Analytical thinking — experience working with large data volumes, ability to navigate and draw conclusions from data 
• Experience working with dashboards and analytics tools 
• Ability to give realistic estimates on tasks 
• Attention to detail and independence 
• Willingness to ask questions when something's unclear, rather than guessing 
• Basic technical background, ideally with some exposure to CRM configuration 
• Comfortable working directly with business users 

Nice to Have 

• Experience configuring CRM/BPM/ERP or low-code/no-code systems (Creatio/Terrasoft is a plus) 
• Background as a junior BA, functional consultant, CRM consultant, or implementation specialist 
• Understanding of sales, service, or document workflow processes 

We Offer 

• Professional development through internal and external training programs 
• Transparent model of professional and career growth 
• Option to work in the office or remotely 
• 24 days of paid vacation 
• English language courses 

For our partner, a company operating in the iGaming industry, we are looking for an experienced Senior iGaming Data Analyst with strong expertise in real-money online casino analytics and business performance.

We are looking for a hands-on analytical expert who can independently investigate complex business questions, identify performance drivers, and turn data into actionable recommendations.

In this role, you will work closely with the Chief Analytics Officer and collaborate with Product, Marketing, CRM, BI, and Data Engineering teams.

This is a senior individual contributor position with no people management responsibilities. The primary focus is on analytical expertise, independent problem-solving, and influencing business decisions through data.

Key Responsibilities

Casino Economics & Revenue Analytics

• Analyze key casino metrics, including GGR, NGR, turnover, real-money and bonus bets, winnings, adjustments, and forfeits.
• Investigate revenue fluctuations and identify the underlying business drivers.
• Evaluate revenue performance across GEOs, brands, VIP segments, promotions, and player lifecycle stages.
• Ensure accuracy and consistency of financial and gaming metrics.

Retention & Player Monetization

• Perform cohort analysis covering retention, redeposits, ARPU, ARPPU, and LTV.
• Analyze player behavior, deposit patterns, and lifecycle transitions.
• Identify opportunities to improve retention and player monetization.
• Distinguish genuine performance changes from statistical fluctuations and changes in player composition.

CRM, Bonuses & Product Analytics

• Evaluate CRM campaign performance, bonus effectiveness, promotional ROI, and incremental impact.
• Analyze player segmentation, RFM models, behavioral funnels, and scoring methodologies.
• Design and assess experiments to validate business hypotheses.
• Identify campaign cannibalization, selection bias, and misleading performance indicators.

Acquisition & Payments Analytics

• Analyze acquisition performance across SEO, PPC, and affiliate channels.
• Evaluate CAC, FTD-to-redeposit conversion, cohort ROI, and LTV.
• Investigate payment funnels, approval rates, failed transactions, and deposit friction.
• Detect anomalies and potential abuse patterns related to traffic, bonuses, and payments.

Advanced Analytics & Business Insights

• Lead complex ad hoc analyses and root-cause investigations.
• Develop reliable analytical frameworks and measurement methodologies.
• Partner with cross-functional teams to support data-driven business decisions.
• Present analytical findings and actionable recommendations to senior stakeholders.
• Challenge assumptions and ensure transparency around analytical limitations.

Requirements

• 5+ years of experience in Data Analytics, Product Analytics, or Business Analytics.
• Several years of hands-on experience in real-money iGaming, specifically within a B2C online casino operator.
• Strong understanding of casino economics, GGR/NGR, retention, monetization, player behavior, and revenue drivers.
• Advanced SQL skills, including complex joins, window functions, cohort calculations, and transactional data analysis.
• Solid knowledge of statistical analysis, experimentation, cohort analysis, and causal reasoning.
• Proven ability to investigate KPI fluctuations and identify their root causes.
• Experience working independently with raw data and delivering reliable, reproducible analytical findings.
• Strong business understanding and ability to communicate complex insights to senior stakeholders.
• Ability to take ownership of analytical tasks and work with minimal supervision.

Nice to Have

• Experience with BigQuery, ClickHouse, Tableau, GA4/GTM, Amplitude, Python, or Airflow.
• Experience analyzing multi-brand and multi-GEO iGaming operations.
• Advanced knowledge of CRM analytics, bonus mechanics, and player lifecycle management.
• Experience with payment funnel optimization and fraud/abuse analytics.
• Knowledge of LTV forecasting and marketing attribution.
• Experience with experimental and quasi-experimental methodologies.

What We Expect

During the first 2–3 months:

• Gain a deep understanding of the company's business metrics, data sources, and analytical processes.
• Independently investigate changes in key business KPIs.
• Identify opportunities to improve analytical approaches and business performance.

Within the first 6 months:

• Become a trusted analytical partner to the CAO and key business stakeholders.
• Support strategic decisions across retention, monetization, acquisition, and payments.
• Deliver measurable, actionable insights that contribute to business growth.

About the Company
Sales'Up is a leading Creatio implementation partner, helping enterprise clients across FMCG, Agro, Finance and Pharma transform their business processes. Over 8+ years, we've delivered 100+ successful CRM projects and built our own industry-specific products: Data Management, FMCG Management, and Agro Management — used by market leaders. We're a team of 50+ professionals, growing fast and building a culture where modern AI tools are part of everyday work. Join us to work on complex, real-world enterprise challenges and grow together!

Role
We are looking for a Middle/Senior Business Analyst to join our team and work at the intersection of business needs and technical solutions. You'll run discovery sessions directly with enterprise clients, translate their real business problems into clear, actionable requirements, and see your analysis shape solutions used by market leaders in FMCG, Agro and Finance.

Main Responsibilities

• Learning the company's products and their configuration
• Requirement gathering: identifying client needs and expectations, analyzing their business processes
• Analysis and documentation: developing documentation that describes functional and technical requirements for the system
• Defining technical solutions: collaborating with technical specialists to develop and choose optimal solutions
• Project coordination: ensuring communication between the development team and the client, tracking project progress
• Testing and validation: verifying CRM system compliance with requirements and validating the finished product with the client
• User training: organizing and conducting training for end users
• Support and improvement: post-implementation consulting support, results analysis, and improvement proposals
• Presenting developed solutions to the client

Requirements

Experience & Education

• 3+ years of experience as a Business Analyst in IT
• Experience on CRM projects (Creatio, Salesforce, Microsoft Dynamics, SAP CRM, etc.) — significant advantage

CRM & Business Process Knowledge

• Understanding of CRM system logic: sales funnel, sales pipeline, customer journey, case management
• Experience in business process analysis and modeling (BPMN — required)
• Understanding of industry specifics — a plus

Documentation & Artifacts

• Experience preparing FRD, User Stories, Use Case Specifications
• Experience conducting gap analysis (comparing requirements against existing functionality/estimates)
• Ability to prepare technical specifications clear to both the client and the development team

Communication & Soft Skills

• Experience conducting discovery sessions and client interviews
• Ability to structure and document discovery call outcomes (pain points, requirements)
• Fluent spoken and written Ukrainian, confident technical English (Upper-Intermediate or higher)
• Ability to present solutions and defend the analytical position in front of the client
• Experience conducting end-user training

Technical Skills

• Understanding of CRM integration principles with adjacent systems (ERP, accounting systems)
• Basic understanding of the no-code/low-code approach to business logic customization

AI Tools in Analyst Work

• Experience with or willingness to actively use Claude (and other AI tools) to accelerate analytical work: drafting FRD/User Stories, analyzing discovery call transcripts, gap analysis, preparing estimates
• Ability to write clear, effective prompts to get quality, structured output
• Critical thinking when working with AI-generated content — fact-checking and adapting it to the project's and industry's context

Domain Knowledge (will be a plus)

General CRM Domains (advantage)

• Understanding of the sales cycle: lead generation, qualification, sales funnel, opportunity management, sales forecasting
• Understanding of customer service/support processes: case management, SLA, omnichannel
• Basic understanding of marketing automation: segmentation, email/SMS campaigns, lead scoring
• Understanding of document flow and approval processes (workflow, approval processes)

Industry Expertise (advantage)

• Agri-trading: contracting specifics, pricing, supply logistics, working with elevators/counterparties
• Retail / Distribution: assortment matrix, distributor network management, discount and promo management, logistics and warehouse accounting
• Banking / financial services: compliance requirements, scoring processes, credit application handling (a plus, if applicable)

We Offer

• Competitive salary
• Professional development through internal and external training programs
• Transparent model of professional and career growth
• Option to work in the office or remotely
• 24 days of paid vacation
• English language courses

About the Company

We are a European IT company with 200+ specialists delivering SaaS platforms, enterprise solutions, and cloud-native products for clients worldwide. We focus on building strong, long-term teams and supporting continuous professional growth.

About the Internship & Project

We are looking for a Trainee Data Scientist to join a project delivered for a UK-based marketing data platform. The client’s platform connects various marketing channels under one roof, helping businesses understand customer retention and acquisition through advanced Single Customer View dashboards and personalization tools. You will contribute to real client projects, focusing on Marketing Mix Modelling (MMM) and causal marketing measurement. We are looking for someone with strong statistical reasoning who is motivated to build real-world data science skills, work with e-commerce datasets, and grow into a specialized role.

Responsibilities

• Prepare, clean, and process real e-commerce and marketing datasets
• Build, validate, and diagnose Marketing Mix Models (MMM) using Python
• Analyze seasonality, promotions, and pricing, as well as model adstock/carryover and saturation
• Calculate incremental revenue and ROAS, build response curves, and develop budget optimization models
• Work closely with the Head of Data Analysis and CTO, actively questioning model outputs to ensure statistical accuracy
• Compare MMM results with experiments and other attribution methods, visualizing findings and eventually explaining technical results in simple client-facing language

Requirements

• Good foundation in Python for data analysis (pandas, NumPy, SciPy, scikit-learn)
• Solid knowledge of statistics and regression
• Understanding of model validation and the clear distinction between correlation and causation
• Up to 3 links to pet projects or an academic project demonstrating your best Data Science skills
• English level: Upper-Intermediate

Why This Internship is Exciting

• Great opportunity to enter a specialized and rapidly growing field of Marketing Mix Modelling (MMM)
• Work with real e-commerce datasets and influence real commercial decisions
• Receive strong mentorship from experienced professionals ready to teach you MMM, e-commerce marketing, and attribution
• Gain exposure to advanced tools like Bayesian MMM, PyMC, Google Meridian, and Meta Robyn
• A clear path from an internship to a Junior role, with the potential to become the company’s internal MMM expert and transition into client-facing responsibilities

Mint Innovations is a product IT company developing comprehensive solutions for last-mile delivery automation and OOH (Out-of-Home) infrastructure. We combine software, hardware (electronics & metal body design), and IoT to create technologies that work in the real world.

Today our team is 140+ specialists working on large-scale international products for customers in Ukraine, Europe, and other markets.

As the company continues to grow, we are looking for a Business Analyst who will strengthen our product and technology direction and help us scale and elevate our products to a new level.

Key Responsibilities

• Analyze operational processes and usage scenarios of parcel lockers and other OOH solutions from the perspective of operators, customers, and end users
• Work with requirements spanning software, hardware, and embedded solutions simultaneously, taking into account the interdependencies between them
• Analyze operational and product data (occupancy, turnover, dwell time, redirections, etc.) to identify opportunities for product and network optimization
• Gather, analyze, and formalize business, user, and functional requirements
• Translate business needs into clear and understandable requirements for technical teams
• Analyze and describe business processes, identify pain points and opportunities for improvement
• Create and maintain business requirements, functional requirements, and other necessary documentation
• Break down complex requirements to a level understandable for technical teams
• Work together with Delivery Managers to define scope of work, priorities, and expected outcomes
• Identify dependencies, constraints, risks, and potential conflicts within requirements
• Ensure requirements traceability throughout their entire lifecycle — from gathering the need to implementation and verification of the result
• Collaborate with developers and technical specialists to clarify requirements and find optimal solutions
• Communicate with international customers to clarify requirements, align expectations, and provide support at all stages of cooperation
• Collaborate with the QA team on preparing test scenarios and acceptance criteria
• Participate in team activities necessary for task delivery
• Keep the backlog and its related documentation up to date
• Analyze requirement changes and assess their impact on scope, timelines, resources, and related functionality
• Validate implemented functionality against business requirements and expected outcomes
• Participate in UAT and support stakeholders during functionality acceptance
• Conduct data analysis and use it to validate hypotheses and support product decisions
• Continuously improve processes for working with requirements, documentation, and cross-team collaboration

Requirements

• 1–2+ years of experience as a Business Analyst
• Experience working with products combining software, hardware, and/or embedded solutions is a plus
• Strong skills in gathering, analyzing, and formalizing requirements (business/functional/non-functional requirements)
• Experience with requirements documentation (User Stories, BRD/FRD, etc.)
• Analytical mindset, ability to work with data and draw product conclusions from it
• Experience working with international customers
• Understanding of Agile/Scrum methodologies, experience working in cross-functional teams
• Ability to decompose complex requirements and manage dependencies and risks
• Experience participating in UAT and validating functionality
• English proficiency — B2 or higher

What We Offer

• Opportunity to work on an innovative product used by international customers.
• Challenging technical tasks combining software and hardware.
• Professional and supportive engineering team.
• Competitive compensation and reviews.
• Opportunities for professional growth and continuous learning.
• Flexible working environment.
• Modern tools and technologies.
• English at the office

We are looking for an experienced Senior / Lead Data Analytics Manager to build and lead the analytics function for our Cards & Wallets business.

This is a hands-on role for someone who enjoys working with large-scale transactional data, building analytical infrastructure from the ground up, and turning complex datasets into actionable business insights.

You will work closely with Commercial, Finance, Product, and Operations teams, helping them make data-driven decisions through reliable analytics, dashboards, and reporting.

What You'll Do

Build the Analytics Foundation

• Design and build an end-to-end analytics infrastructure for the Cards & Wallets business.
• Design and maintain analytical data models, data marts, and reporting datasets.
• Build and improve the company's analytical Data Lake.
• Ensure data consistency, quality, and reliability across multiple systems.
• Create a unified customer view across different data sources.

Business & Product Analytics

• Analyze large transactional datasets to identify trends, customer behavior, and business opportunities.
• Build customer segmentation, cohort analysis, retention analysis, and LTV models.
• Analyze transaction behavior across products, BINs, merchants, geographies, and customer segments.
• Identify business patterns and proactively suggest improvements based on data.

BI & Dashboards

• Design and develop business dashboards using Tableau, Power BI, Metabase, or similar BI platforms.
• Build dashboards that become daily decision-making tools for Commercial, Finance, Product, and Operations teams.
• Automate recurring reporting and reduce manual reporting efforts.
• Ensure the accuracy and consistency of analytical reports.

Commercial Analytics

• Support pricing analysis and unit economics through data-driven insights.
• Analyze transaction profitability and business performance.
• Build analytical models to evaluate pricing changes and business scenarios.
• Help commercial teams understand customer behavior and revenue opportunities.

Executive Reporting

• Prepare analytical reports for senior management.
• Transform complex data into clear recommendations and actionable insights.
• Work closely with business stakeholders to answer analytical questions and support strategic decisions.

Build the Analytics Function

• Own the analytics function for the Cards & Wallets direction.
• Prioritize analytical requests from different business teams.
• Help define the future BI architecture and analytics processes.
• As the function grows, participate in building and mentoring the analytics team.

Requirements

• 5+ years of experience in Data Analytics, BI, Product Analytics, or Commercial Analytics.
• Strong SQL skills, including: Window Functions, CTEs, Query optimization, Large transactional datasets.
• Experience building analytical data models and data marts from scratch.
• Experience working with Data Warehouses and/or Data Lakes.
• Hands-on experience with Tableau, Power BI, Metabase, or similar BI platforms.
• Experience designing dashboards that are actively used by business teams.
• Strong analytical thinking with the ability to identify patterns, trends, and business opportunities in large datasets.
• Experience automating reporting and improving analytical processes.
• Ability to communicate analytical findings clearly to both technical and non-technical stakeholders.
• B2+ (C1 preferred).

Nice to Have

• Experience in FinTech, Payments, Banking, Card Issuing, Acquiring, PSP, Digital Wallets, or Neobanking.
• Experience working with transaction-level data.
• Understanding of payment flows and transaction lifecycle.
• Experience with pricing analytics, unit economics, or profitability analysis.
• Experience building alerting systems and automated business monitoring.
• Previous leadership or mentoring experience.

Why Join Us?

• Build the analytics function from the ground up.
• Work directly with Commercial, Finance, Product, and executive leadership.
• Own the analytics architecture and influence business decisions.
• Solve complex analytical challenges using real transaction data.
• Grow into the Head of Analytics for the Cards & Wallets business.

Our customer is a global, full-service e-commerce and subscription billing platform that helps SaaS, digital goods, and subscription-based businesses sell worldwide. For nearly two decades, the company has supported business growth by managing payments, global tax compliance, fraud prevention, and recurring revenue at scale. Data plays a central role in the company’s decisions and operations. As the customer builds its next-generation data platform, you will help maintain and improve reporting solutions that business teams rely on every day.

You will maintain, troubleshoot, and develop Power BI reports and semantic models, working with DAX calculations and data available through Snowflake. Finance will be your primary business domain, including reporting that supports month-end closing and other financial processes.

The role combines hands-on development, data investigation, and collaboration with business stakeholders. You will receive technical and domain support during onboarding and gradually take ownership of reporting requests and day-to-day Power BI tasks.

Responsibilities:

• Maintain, troubleshoot, and develop Power BI dashboards, reports, semantic models, DAX measures, and calculated columns.
• Investigate data discrepancies, refresh behaviour, and reporting inconsistencies using SQL and Snowflake.
• Help Finance stakeholders understand report calculations, transformations, and the sources of reported values.
• Support reporting for month-end closing and other Finance processes, while contributing to other business reporting needs as priorities evolve.
• Clarify requirements, expected outcomes, and acceptance criteria with business stakeholders before implementation.
• Test and validate reports together with Finance stakeholders and the Data Quality Engineer.
• Document reporting logic, changes, and relevant data dependencies.
• Collaborate with Data Engineering and platform owners to resolve issues originating outside Power BI.
• Participate in the team’s Jira-based Scrum delivery process.

Requirements:

• 1+ year of practical Power BI experience, including report development, visualisations, filters, relationships, and semantic models.
• Good knowledge of DAX, including measures and calculated columns.
• Good knowledge of SQL, including joins, aggregations, and CTEs, with the ability to investigate underlying data independently.
• Understanding of relational and dimensional data concepts, including tables, keys, relationships, data types, and basic star-schema modelling.
• Understanding of Power BI connectivity modes—Import, DirectQuery, Live Connection, and Composite models—including their trade-offs and the specifics and limitations of Live Connection.
• Ability to investigate reporting discrepancies, refresh behaviour, and data dependencies.
• Strong attention to detail and a habit of validating results before sharing them with business users.
• Ability to communicate with business stakeholders, ask clarifying questions, and translate requirements into reporting changes.
• Willingness to learn Finance metrics, reporting needs, and business processes.
• Upper-Intermediate English or higher for collaboration with English-speaking stakeholders.

Nice to have:

• Experience with Snowflake.
• Exposure to financial reporting or analytics.
• Familiarity with Jira, Agile, or Scrum.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

POSITION OVERVIEW

As a System Analyst on the Fintech Core project, you will define technical architecture, system specifications, and integration designs for a white-label modular fintech platform that enables rapid creation of digital banking and payment products.

The platform provides a complete technology stack including general ledger, middleware, mobile/web applications, and extensive third-party integrations for KYC, payments, card issuance, and compliance. You’ll work closely with Business Analysts, Solution Architects, and Engineering teams to translate business requirements into detailed technical specifications, design robust system architectures, and ensure seamless integration across microservices while maintaining regulatory compliance and enterprise-grade security.

This role offers hands-on experience designing financial systems at scale, with exposure to payment processing, card networks, digital wallets, cross-border transactions, and regulatory compliance frameworks serving multiple fintech implementations globally.

General project description 

Fintech Core is a white-label modular fintech solution designed for rapid creation and launch of digital banking and payment products. It provides a comprehensive, turnkey platform that enables businesses to build neobanks, digital wallets, payment systems, and other fintech products within 3 months rather than years. The solution includes a complete technology stack: a robust general ledger platform, middleware layer, customizable frontend applications for iOS/Android/Web, and extensive third-party integrations for KYC, payments, card issuance, and compliance. Unlike traditional SaaS offerings, Fintech Core provides full access to source code, eliminating vendor lock-in and enabling deep customization.

The platform is built on a microservices architecture with modular components that can be independently scaled and customized. It supports multi-currency operations, cross-border payments, card issuing, account management, transaction processing, compliance monitoring, and back-office orchestration. The solution is PCI & DSS compliant and designed to meet regulatory requirements across multiple jurisdictions.

Project stage: Active development and continuous enhancement. The platform is mature with multiple successful implementations but undergoes constant evolution to incorporate new regulatory requirements, payment integrations, and fintech capabilities. Quality, scalability, and compliance are paramount priorities.

The size and the structure of the team Cross-functional team including Product Owners, Business Analysts, System Analysts, Frontend/Backend Developers, QA Engineers, DevOps, Security Specialists, and Compliance Consultants. The team operates in an Agile environment with close collaboration between technical and business functions.

YOUR BACKGROUND

Technical Skills 

• 4+ years of experience as a System Analyst, Technical Analyst, or similar role in fintech or banking domains 
• Strong understanding of financial systems architecture including general ledgers, payment processing, and account management 
• Experience with microservices architecture, API design, and distributed systems 
• Proficiency in creating technical documentation: system design documents, data flow diagrams, sequence diagrams, ER diagrams 
• Knowledge of database design and data modeling for transactional systems 
• Understanding of integration patterns, message queues, and event-driven architectures 
• Familiarity with payment systems standards (ISO 20022, SWIFT, SEPA, card schemes) 
• Experience with API specifications (REST, OpenAPI/Swagger, webhooks) 
• Understanding of cloud infrastructure and deployment architectures (AWS, Azure, GCP) 
• Knowledge of authentication and authorization mechanisms (OAuth, JWT, API keys)

Domain Knowledge 

• Understanding of core banking concepts: accounts, transactions, balances, ledgers, reconciliation 
• Knowledge of payment flows: domestic/international transfers, card payments, digital wallets 
• Familiarity with KYC/AML processes and regulatory compliance requirements 
• Understanding of financial data security standards (PCI DSS, GDPR) 
• Experience with fintech product features: onboarding, card issuing, FX, acquiring

Analytical & Documentation Skills 

• Excellent analytical thinking and problem-solving abilities 
• Strong technical writing skills with attention to detail 
• Ability to translate complex business requirements into technical specifications 
• Experience with UML, BPMN, or similar modeling notations 
• Proficiency with documentation tools (Confluence, Notion, or similar) 
• Experience with requirements management and traceability

English level - Upper-Intermediate.

Skills that will be a plus:

• Experience with white-label or multi-tenant system architectures
• Knowledge of blockchain and cryptocurrency integrations
• Familiarity with regulatory frameworks (PSD2, Open Banking, MiFID)
• Experience with performance testing and system optimization
• Understanding of DevOps practices and CI/CD pipelines
• Previous experience with modular platform architecture
• Knowledge of financial compliance and audit requirements
• Experience with data migration and system integration projects

RESPONSIBILITIES

• Analyze and document system requirements for platform modules including payments, card issuance, digital wallets, accounts, ledger management, and compliance systems
• Translate business requirements into detailed technical specifications, API contracts, database schemas, and integration architectures
• Design data models, entity relationships, and data flow diagrams for transactional and financial systems with appropriate normalization and performance considerations
• Define integration patterns and technical specifications for connecting with payment processors, KYC/AML providers, card issuers, and open banking platforms
• Document system behaviors using sequence diagrams, component diagrams, deployment architectures, and API specifications (OpenAPI/Swagger)
• Collaborate with Solution Architects to ensure system designs align with microservices architecture patterns, scalability requirements, and technical best practices
• Define non-functional requirements including performance benchmarks, security controls, data retention policies, and audit trail specifications
• Facilitate technical design workshops with Engineering teams to review system specifications, validate implementation approaches, and identify technical risks
• Create comprehensive system documentation in Confluence covering technical flows, component interactions, message formats, and infrastructure requirements
• Support QA teams by defining system integration test scenarios, technical acceptance criteria, and end-to-end testing strategies
• Analyze system performance bottlenecks and propose optimization solutions for high-throughput financial transaction processing
• Ensure all technical specifications maintain regulatory compliance requirements (PCI DSS, GDPR, PSD2) and financial data security standards
• Maintain traceability between business requirements, system specifications, technical implementations, and test cases
• Participate in sprint planning, technical refinement sessions, and architecture review boards to ensure alignment between product vision and technical execution

We are the creators of a new fintech era!

Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.

We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.

Requirements:

We're looking for a DevOps engineer with 4+ years of hands-on experience, at least 2 of them spent building and running data or analytics infrastructure. You've designed systems that move, store, and serve data at scale. Warehouse maintenance is part of your daily routine, and writing Python, Bash, or SQL scripts is second nature. You treat data security as a core responsibility: you protect confidentiality, enforce zero-trust, least-privilege access, and automate everything you touch. Solid IaC skills are a must.

• IaC & CI/CD: Production experience with Terraform, Ansible, and Helm, plus CI/CD systems (GitLab CI, GitHub Actions, Jenkins, or ArgoCD). We expect you to design pipelines, not just use them.
• Containerization: Working knowledge of Docker and Kubernetes, including running data workloads on it (like Spark on Kubernetes, stateful services, operators).
• Cloud: Solid experience with AWS (S3, EC2, EMR, Redshift, Glue, IAM) or an equivalent cloud provider.
• Linux & Networking: Solid Linux administration skills and foundational networking knowledge relevant to distributed systems.
• Analytical Databases: Hands-on operation of ClickHouse and/or the Hadoop ecosystem (HDFS, Hive, YARN), including cluster setup, tuning, and scaling.
• Data Warehouses: Practical experience with Snowflake or Redshift, covering warehouse sizing, workload management, performance tuning, and cost control.
• Large Databases: Experience administering databases at terabyte scale: replication, backup and restore strategies, partitioning, and migrations with minimal downtime.
• SQL & Scripting: Strong SQL skills, including reading execution plans and optimizing heavy queries. Confident in Python and Bash for automation, data parsing, and investigation.
• Data Lakes & Object Storage: Working knowledge of S3-compatible storage, columnar formats, partitioning strategies, and data lifecycle management.
• Orchestration & Streaming: Familiarity with Airflow (or similar orchestrators) and Kafka, and how they fit into data pipelines.

Extra Credit / Big Pluses

• Experience with Tableau, Power BI, Looker, Superset, or similar BI tools, including administration, performance tuning, and data source design.
• Hands-on experience with dbt and analytics engineering practices.
• Experience with open table formats (Apache Iceberg, Delta Lake, Hudi) and query engines like Trino/Presto or Athena.
• FinOps experience in data platforms: managing Snowflake credits, Redshift clusters, and storage costs at scale.
• Spark performance tuning and job optimization.
• Change data capture (CDC) with Debezium or similar tools.
• Data quality tooling (Great Expectations, Soda) integrated into CI/CD.
• Golang or Rust tooling experience.
• Knowledge of data governance and compliance (GDPR, data retention, PII handling).
• Understanding of business processes in the FinTech/Banking/Crypto sector.

Responsibilities:

• Infrastructure Ownership: Own the infrastructure behind our data and analytics platform, from provisioning to daily operations. Keep it reliable, scalable, and cost-efficient as data volumes grow.
• Infrastructure as Code: Provision and configure all data infrastructure with Terraform, Ansible, and Helm. 
• CI/CD Pipelines: Build and maintain delivery pipelines for both infrastructure and data code (ETL jobs, Airflow DAGs, dbt models, schema migrations), with automated testing, safe rollouts, and fast rollback.
• Database & Warehouse Operations: Maintain ClickHouse, Snowflake, Redshift, and вPostgreSQL at multi-terabyte scale, handling replication, backups, upgrades, capacity planning, and disaster recovery.
• Data Lake Storage: Manage S3-compatible data lake storage, including partitioning, file formats, and lifecycle policies.
• Automation & Script Optimization: Refactor and automate Python, Bash, and SQL scripts to cut runtimes and eliminate manual work.
• Performance & Cost: Right-size clusters and warehouses, tune heavy queries, and keep compute and storage spend under control.
• Monitoring & Alerting: Cover data infrastructure with metrics, logs, and alerts for cluster health, pipeline SLAs, and job failures.
• Security & Access Control: Enforce least-privilege access, secrets management, encryption, and auditability for sensitive data.
• BI Infrastructure: Support the infrastructure behind Tableau or similar BI tools.
• Big Data Platforms: Deploy, tune, and troubleshoot Hadoop, Spark, and Kafka clusters in production.
• Collaboration: Work with data engineers, analysts, and developers to turn their workloads into solid infrastructure decisions.
• Security & Access Control: Implement role-based access, secrets management, encryption at rest and in transit, and auditability for sensitive datasets in line with regulatory requirements.

Working terms

Immerse yourself in Crypto & Web3:

• Master cutting-edge technologies and become an expert in the most innovative industry.

Work with the Fintech of the Future:

• Develop your skills in digital finance and shape the global market.

Take Your Professionalism to the Next Level:

• Gain unique experience and be part of global transformations.

Drive Innovations:

• Influence the industry and contribute to groundbreaking solutions.

Join a Strong Team:

• Collaborate with top experts worldwide and grow alongside the best.

Work-Life Balance & Well-being:

• Modern equipment.
• Comfortable working conditions and an inspiring environment to help you thrive.
• 24 calendar days of paid leave.
• Additional days off for national holidays.

With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!

Let’s Build the Future Together!