Jobs Data & Analytics

We are seeking an experienced Senior Business Analyst to join a data management project within a leading pharmaceutical company.

The role will focus on Master Data Management (MDM), data modeling, and data governance, acting as a business counterpart to MDM and data platform teams. The Business Analyst will help translate business needs into clear data requirements, models, and processes, while supporting the development of downstream data structures and ontologies.

Responsibilities:

• Act as a senior business counterpart for MDM, data platform, and Foundry teams, owning the clarification and translation of business needs into actionable data requirements.
• Lead requirements discovery and analysis related to Master Data Management, including master data domains, attributes, relationships, business rules, hierarchies, and ownership.
• Work closely with business stakeholders and technical teams to define how master data should be structured, governed, and represented across downstream systems and data platforms.
• Support the definition and refinement of conceptual and logical data models, ensuring that business concepts and relationships are accurately represented.
• Facilitate discussions between business and technical stakeholders, proactively resolving ambiguities, inconsistencies, and gaps in data requirements.
• Contribute to the development and evolution of enterprise ontologies, including the definition of business entities, relationships, terminology, and semantic models.
• Support data governance activities, including data definitions, ownership, quality rules, standards, and consistency across systems.
• Analyze existing data structures and processes and recommend improvements to support scalable and consistent enterprise data management.
• Maintain clear documentation covering business requirements, data definitions, models, business rules, decisions, and dependencies.
• Validate proposed data models and delivered solutions with business stakeholders to ensure alignment with business processes and intended use.
• Collaborate closely with distributed stakeholders and teams, including colleagues based in the US.

Requirements:

• 5+ years of experience as a Business Analyst, Data Business Analyst, or similar role within complex enterprise environments, with significant exposure to data-related initiatives.
• Strong practical understanding of Master Data Management principles, including master data domains, golden records, hierarchies, relationships, matching, data ownership, governance, and lifecycle management.
• Experience translating complex business concepts into structured data requirements and data models.
• Good understanding of data modeling principles, including entities, attributes, relationships, reference data, and conceptual/logical data models.
• Experience working closely with MDM, data engineering, data architecture, or enterprise data platform teams.
• Ability to operate as an independent and senior business counterpart to technical teams rather than relying on engineering teams to drive requirements definition.
• Strong stakeholder management and facilitation skills, with the ability to work with both business and technical stakeholders and challenge assumptions when necessary.
• Experience with data governance, data quality, business glossaries, metadata, or data ownership frameworks.
• Familiarity with ontology or semantic data modeling concepts is highly desirable.
• Experience with Reltio or another MDM platform is a strong advantage, but specific Reltio expertise is not required.
• Experience with Palantir Foundry or similar enterprise data platforms is a plus.
• Pharmaceutical, healthcare, or life sciences domain experience is highly desirable.
• Basic understanding of SQL and data querying concepts is beneficial, but hands-on development or data engineering experience is not required.
• Strong analytical and problem-solving skills, with a high level of ownership and the ability to independently structure ambiguous business problems.
• Ability to work effectively in a distributed international environment.
• English: Upper-Intermediate or higher.
   

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

N-iX is for a Middle Applied Scientist to join our team and improve how customers discover, evaluate, and select content for AI training datasets. You will own scoped scientific projects from problem framing through recommendation, while helping shape broader methods and standards with senior and principal data science colleagues. Working with product and engineering partners, you will turn evaluation results and experimental evidence into improvements to the Data Licensing platform.

This role is well suited to someone who has applied statistical and machine-learning methods in production and is ready to take greater ownership of product-facing scientific work.
 

Our customer is a technology company that powers one of the world's largest two-sided marketplaces for high-quality photos, illustrations, videos and music used by individuals, businesses, marketing agencies and media organizations of all sizes. In this role, you will be working with highly motivated and talented data scientists and engineers who are primarily focused on developing next-generation AI/ML systems that transform the way people find content they enjoy.
 

Responsibilities:

• Partner with senior and principal data scientists to improve dataset discovery, qualification, and selection by evaluating and enhancing retrieval, classification, filtering, and ranking approaches
• Develop and apply evaluation and sampling methods to measure dataset relevance, coverage, diversity, composition, and representativeness.
• Evaluate automated dataset-curation workflows, using structured error analysis to assess interpretation, selection quality, and failure modes and recommend improvements.
• Design and analyse experiments using offline evaluation and product telemetry to recommend improvements to curation quality, workflow performance, and customer experience.
   

Requirements:

• 4+ years of commercial experience in data science, applied science, machine learning, or a related field.
• Strong grounding in statistics, experimental design, and quantitative problem-solving.
• Experience evaluating search, recommendation, ranking, and similar machine-learning systems.
• Experience taking experiments from problem framing and metric definition through analysis and recommendation.
• Proficiency in Python and SQL and experience working with large datasets.
• Practical experience applying several relevant techniques, such as sampling, clustering, classification, optimisation, uncertainty estimation, or Bayesian methods.
• Experience using structured error analysis to identify opportunities to improve model or platform performance.
• Strong communication skills and experience working with product and engineering partners.
• Ability to innovate and identify new approaches to improve current practices.
• English level - upper-intermediate or higher
• Working experience AWS and/or GCP

Nice to have:

• Experience with embedding models, semantic search, information retrieval, and multimodal content.
• Experience evaluating LLM-based or agentic workflows.
• Understanding of annotation workflows, from human labelling to model-assisted and VLM-based annotation.
• Experience estimating full-population quality from representative samples.

We're looking for a Product Analyst to join our Product team. In this role, you'll own the data behind our product decisions — tracking performance, uncovering insights, forming hypotheses, and driving their implementation to move our key business metrics. You'll act as both the data checker and the solution provider for our Product, Marketing, and Retention departments.
 

HOW YOU WILL MAKE AN IMPACT

• Track and monitor the full user flow from Visit to Churn, owning metrics at every stage of the lifecycle.
• Acquisition & registration: monitor high-funnel conversions such as Visit2Reg and Reg2Dep.
• Activation & monetization: track first-deposit behavior and core metrics including Deposit Sum, Bet Volume, and GGR.
• Engagement & retention: analyze player activity, session and betting patterns, and repeat-deposit behavior to identify what keeps users active.
• Reactivation & churn: monitor churn signals, dormancy, and reactivation performance to reduce drop-off and extend player lifetime.
• Search for insights in the data, identify friction points and growth opportunities across the user journey.
• Form data-driven hypotheses and see them through to implementation, measuring their impact on business performance.
• Serve as the go-to data checker and solution provider for the Product, Marketing, and Retention teams — validating data, answering analytical questions, and recommending actions.
• Build and maintain dashboards and reports so stakeholders can access and understand performance.
• Partner cross-functionally to shape decisions and priorities based on evidence rather than intuition.
• Propose product features to implement to web application based on data driven logic.

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• Proven experience in a product analytics or data analytics role.
• Strong analytical skills with the ability to turn raw data into clear, actionable insights.
• Hands-on experience with our core tools: PowerBI, Casino BO (back office), PostHog, Optional: Customer.io, Smartico AI.
• Solid understanding of funnel metrics and conversion analysis (Visit2Reg, Reg2Dep, etc.).
• Familiarity with iGaming / casino core metrics such as Deposit Sum, Bet Volume, and GGR.
• A hypothesis-driven mindset and the ability to move from insight to implementation.
• Strong communication skills to collaborate with Product, Marketing, and Retention stakeholders.
• Problem solving mindset.
• Proactivity and result driven.

Nice to Have

• Experience in the iGaming, betting, or online casino industry.
• Math skills, understanding of prediction models, forecasting.
• Experience designing and evaluating A/B tests and experiments.

HOW WE WILL KEEP YOU SMILING

• Flexible working hours and a remote work setup, so you can plan work around your life and not your life around work!
• Unlimited vacation days and paid sick leave—because your rest matters.
• A competitive compensation that truly reflects your skills and expertise.
• Employee referral bonus and gifts to celebrate your special occasions.
• 50% financial support for learning expenses to supercharge your professional growth!
• A positive atmosphere where you always feel respected and truly belong.
• Inspirational team-building activities that turn colleagues into best friends.
• Wellness benefits: We’ll support your sports passions, from yoga classes to gym memberships.
• Co-working space reimbursement to save your nerves from always working from home :)

Our client is a leading provider of enterprise software solutions, helping organizations optimize complex business processes through innovative technology. The company is committed to delivering high-quality implementation services, driving customer success, and continuously improving its platform through modern technologies and collaborative delivery practices.

They are looking for an experienced Functional Analyst to join the Delivery Services team. In this role, you will be responsible for supporting software implementations, gathering and documenting business requirements, configuring solutions, conducting client training, and ensuring successful adoption of the platform. This position is ideal for someone who enjoys working directly with customers, solving business challenges, and managing multiple implementation projects in a fast-paced environment.

Working Hours: This role requires working until 2-3 PM EST (U.S. Eastern Time) to ensure daily overlap with the client's team.

Responsibilities

• Lead client-facing discovery sessions, product demonstrations, workshops, training sessions, and implementation activities.
• Gather, analyze, and document business and functional requirements.
• Translate business needs into system configuration and functional specifications.
• Configure the platform according to future-state business processes.
• Troubleshoot system issues, analyze errors, and recommend appropriate solutions.
• Support client testing, validation, and user acceptance activities.
• Manage multiple implementation projects simultaneously while balancing priorities and deadlines.
• Collaborate closely with delivery teams, account management, product, and engineering teams.
• Act as the bridge between business stakeholders and software development teams to ensure functional requirements are clearly communicated.
• Continuously learn new tools, technologies, and delivery practices while adapting to changing project priorities.

Requirements

• 5+ years of experience working with financial aid operations or financial aid systems.
• Strong business analysis and requirements gathering skills.
• Experience configuring enterprise software solutions.
• Experience with data conversion and integrations with external systems.
• Proven experience participating in enterprise software implementation projects.
• Strong analytical and problem-solving abilities.
• Excellent verbal and written English communication skills.
• Experience troubleshooting complex business applications.
• Strong client-facing communication and presentation skills.
• Ability to prioritize multiple projects in a fast-paced environment.
• Experience with Microsoft Office tools, Jira, Confluence, SharePoint, and Project.
• Comfortable delivering training sessions and working directly with business users.
• Strong sense of ownership, teamwork, and customer focus.
• At least upper-intermediate (B2) English.

Nice to Have

• Experience with higher education or financial aid software platforms.
• Previous experience as a Functional Analyst or Business Analyst within Professional Services or Delivery teams.
• Experience working in higher education administration.
• Experience collaborating with distributed global teams.
• Exposure to high-growth or rapidly changing environments.
• Ability to thrive in fast-paced and evolving organizations.

About the Role

LiftIQ is looking for a Senior Analytics Engineer / BI Product Engineer to build the
reporting and analytics products our teams use to run the business.
This is not a traditional BI role where stakeholders provide specifications and you simply
build dashboards. We need someone who can understand the underlying business
problem, determine what users actually need, and turn ambiguous requests into accurate,
actionable analytics.

Often, the best solution will be different from what was originally requested. You should be
comfortable challenging requirements, identifying insights users did not know to ask for,
and designing reports that help people make decisions—not simply giving them more data.
This is also a highly technical full-stack analytics role that blends analytics engineering
with BI product engineering. You will work across BigQuery, dbt, TypeScript, Next.js, and
React, using Claude Code extensively to accelerate development.

Data correctness is critical. Wrong numbers are worse than crashes.
You will own the accuracy, reliability, and usability of LiftIQ’s reporting products
end‑to‑end—from data modeling and metric definitions to dashboard experience and
permissions.

What You’ll Do
• Work directly with stakeholders to understand business questions and translate
them into useful analytics products.
• Design metrics, reports, dashboards, and visualizations that surface actionable
insights.
• Write sophisticated BigQuery SQL and build/extend dbt models,data marts and
dimensional models (facts, dimensions, semantic layers)
• Reconcile reporting against source systems and investigate data discrepancies.
• Build dashboards end-to-end across the data layer, semantic layer, application
layer, permissions, and automated tests.
• Use Claude Code heavily while maintaining ownership of the underlying
architecture, logic, and data correctness.
• Protect sensitive financial and compensation data through rigorous server-side
access controls.
• Write automated tests for metrics, business rules, and permissions.
• Document business logic, metric definitions, and data models to ensure clarity and
consistency across teams
What We’re Looking For

• Essential
  Exceptional SQL skills
• Deep experience with analytical SQL, including complex joins, window functions,
• attribution, aggregation, data grain, reconciliation, and performance. BigQuery experience
• is strongly preferred.
• Strong analytical and business judgment
• You can understand what decision a stakeholder is trying to make, determine which
• metrics matter, and design something more useful than simply fulfilling the original
• request.
• Strong requirements-gathering skills
• You are comfortable working directly with business users, asking the right questions,
• understanding unfamiliar processes, and turning ambiguity into a clear solution.
• dbt experience
• Experience using dbt in a high-scale production data environment. Experience with
• dimensional modeling, semantic layers, and metric governance.
• Data skepticism
• You instinctively validate, reconcile, spot-check, and investigate. You should be
• uncomfortable shipping a number you cannot explain.
• Testing discipline
• Experience building testable analytics logic and automated tests for metrics and business
• rules. Experience with version control, PR hygiene, and modular analytics engineering
• practices.

• English: strong working proficiency (B2+), with the ability to communicate directly with business stakeholders and gather requirements.

   

Nice to Have
• Performance or affiliate marketing experience, including CPL, CPA, EPC, ROAS, and
media-buying economics
• Experience with platforms such as Everflow, Ringba, RedTrack, Voluum,
LeadProsper, or HubSpot
• GCP / Cloud Run / Cloud Scheduler / Cloud Build
• Python ETL and API integrations
• Payroll or commission systems experience
• Claude API or other LLM application development
• Interactive data visualization
• Playwright / E2E testing
Tech Stack
Data: BigQuery, dbt, Python ETL, Google Sheets
Application: Next.js 14, TypeScript, React, Tailwind, NextAuth, Neon Postgres
AI: Claude Code, Claude API
Testing: Vitest
Infrastructure: GCP, Cloud Run, Cloud Scheduler, Cloud Build, Docker
What Success Looks Like
A strong person in this role becomes someone the business brings problems, not
dashboard specifications.
If someone says, “I need to understand why this buyer’s margins dropped,” you should be
able to understand the business context, interrogate the data, identify the relevant metrics
and potential causes, and build something that makes the answer clear.

You should be equally comfortable debugging a subtle SQL grain issue, talking with a
stakeholder about how their business works, and using Claude Code to turn the resulting
solution into a production dashboard.

This is a full-stack analytics role, but the hardest part of the job is data correctness,
modeling discipline, and analytical judgment—not frontend development.
Success also means stakeholders trust your numbers without hesitation, dashboards
become decision tools rather than data dumps, and metric definitions remain consistent
across teams.

Join.To.IT is a Ukrainian outsourcing IT company founded in 2012, delivering software solutions across various business domains.

We help our clients find the right product solutions even before development starts. Our Research Team conducts market and competitor research, validates product hypotheses, creates interactive prototypes, and helps clients make informed business decisions.

We are looking for a Business Analyst who thinks like a product consultant, actively uses AI tools, and focuses on creating real business value for clients.

Responsibilities

• Analyze client business needs and translate them into clear requirements
• Conduct Product Discovery, Benchmark Research, and Business Research
• Analyze competitors, markets, and successful digital products
• Prepare User Stories, Use Cases, Acceptance Criteria, and project documentation
• Collaborate with UX/UI Designers on clickable prototypes and product hypothesis validation
• Use AI tools for research, analysis, documentation, and prototyping
• Participate in presales, project estimation, and preparation of client proposals
• Collaborate with Developers and QA throughout product implementation
• Validate implemented functionality against business requirements
• Proactively suggest product improvements and new solutions that create business value

Requirements

• 2+ years of commercial experience as a Business Analyst
• English — Upper-Intermediate (B2+)
• Hands-on experience with Product Discovery, requirements gathering, and competitor/market research
• Ability to analyze business processes and propose solutions, not just document requirements
• Experience with User Stories, Use Cases, Acceptance Criteria
• Experience with Figma and understanding of clickable prototyping
• Confident use of AI tools such as ChatGPT, Claude, Gemini, Lovable, or similar
• Understanding of SDLC and Agile/Scrum
• Strong analytical and communication skills, proactivity, and ownership

Nice to Have

• Experience in an outsourcing company and/or presales
• Knowledge of BPMN and UML
• Experience with Customer Journey Maps, User Flows, or Product Vision
• Experience with AI prototyping tools such as Lovable, Bolt, v0, Figma AI, or similar

We Offer

• Office-based work in Kyiv, near Vasylkivska metro station
• Working hours: 10:00–19:00, Monday–Friday
• Comfortable office with a shelter, Starlink, and uninterrupted power supply
• Medical insurance
• Paid vacation and sick leave
• Free gym access near the office
• Compensation for professional courses and development
• Supportive team and opportunities for professional growth

We are a team with over 8 years of experience in traffic acquisition and monetization. Our primary focus is on achieving maximum effectiveness in performance marketing. In recent years, we have been actively developing our own mobile apps and monetizing them through large-scale traffic acquisition.

We are looking for a Senior Growth Marketing Analyst who will be responsible for analyzing and developing key growth areas.

Main focus of the role:  

• help the business identify growth opportunities in traffic acquisition (in-app, social, web) and the development of ad-monetized apps, 
• develop and improve traffic acquisition automation algorithms,
• and drive product metrics for our own apps.

The role requires a high degree of independence in managing key analytical areas, direct interaction with company owners and the analytics team, as well as preparing reports and recommendations that influence strategic business decisions.

What we expect from you:

• At least 7 years of experience in data analytics.
• Experience in mobile app analytics and ad mediation for monetized apps: understanding of how mediation platforms, ad networks, waterfall/bidding logic, eCPM, fill rate, ARPDAU, impressions, ad revenue, and the impact of ad monetization on product metrics work.
• 4+ years of experience in digital marketing, performance marketing, paid acquisition, or growth marketing.
• Deep expertise in key acquisition and product metrics and their practical application: LTV, ROAS, ROI, CPA, CPC, CPM, CPI, CTR, CR, retention, ARPU, and others.
• Experience conducting cohort analysis, ad hoc analysis, experiment evaluation, and hypothesis testing.
• Ability to identify non-obvious insights in data and translate them into concrete business recommendations.
• Experience working with MMPs, attribution, and tracking tools such as Adjust, Voluum, Amplitude, Mixpanel, Firebase, or similar platforms.
• Experience with SQL for ad hoc analysis, data extraction, and modeling.
• Knowledge of Python or R for analytics, automation, and modeling.
• Understanding of the principles of marketing attribution, tracking, conversion measurement, and data quality.
• Skills in building reports and dashboards in BI tools (e. g., Looker) and working with them.
• Experience with BigQuery and other modern data stack tools such as GitLab, Docker, Google Cloud (Container Registry, Workflows, Cloud Run).
• Experience working with large volumes of data and the ability to independently develop analytical logic.
• Strong analytical skills and systematic thinking.
• Attention to detail, a high level of self-organization, and accountability for results.
• Ability to clearly communicate technical findings to non-technical teams.
• A bachelor’s degree in mathematics, applied mathematics, statistics, data science, information technology, or related fields.
• Location: Eurozone or Asia. 

Your tasks:

• Analyze and improve the effectiveness of advertising traffic acquisition from in-app, social, and web sources: evaluate sources, channels, campaigns, audiences, and combinations based on key acquisition metrics, identifying areas for scaling and optimization. 
• Conduct cohort and segment analysis, as well as ad hoc traffic buying analysis. 
• Systematically identify growth opportunities, formulate, prioritize, and test data-driven growth hypotheses: from optimizing traffic buying, creatives, and advertising platforms to improving monetization, user retention, and user ROI.
• Analyze and improve the effectiveness of traffic buying automation algorithms: evaluate the quality of solutions, identify the causes of performance drops, formulate requirements for improvements, and adapt the logic to new sources, advertising platforms, and business goals.
• Conduct predictive and proactive analytics to help identify risks, performance drops, and new growth opportunities in advance.
• Build and maintain analytical and functional dashboards.
• Verify the accuracy of key reports, data, tracking, and analytical systems; work with data from advertising platforms, BI, CRM, MMP, attribution tools, and internal databases.
• Coordinate analytical tasks within your area of responsibility: collaborate with the analytics team, monitor the quality of analytics, and help translate analysis results into business recommendations.
• Analyze and improve product metrics for our own apps, identifying areas for growth in retention, monetization, user behavior, and overall product performance.

We offer:

• Remote work format. We work quickly, efficiently, and focus on results.
• Schedule: 10:00 a.m. to 7:00 p.m. Cyprus time.
• 20 days of vacation and paid sick leave.
• Probationary period - 6 months.
• Salary by agreement, depends on level and expertise.
• We work according to the Cyprus holiday calendar.
• Our team consists of strong specialists. We value initiative, responsibility, teamwork, and the desire for growth.

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

In this role, you will focus on building and iterating on machine learning and LLM-based solutions, integrating them into Foundry workflows to support analytics, automation, and decision-making. You will collaborate closely with data engineers, business analysts, and domain experts to deliver practical, production-ready AI solutions.

Responsibilities:

• Develop and enhance machine learning and AI models to support predictive analytics, classification, forecasting, and AI-assisted workflows.
• Build AI and ML solutions within Palantir Foundry, using Python and existing Foundry pipelines, Ontology objects, and workflows.
• Apply LLMs and NLP techniques (e.g. prompt engineering, fine-tuning, embeddings, retrieval-augmented workflows) using Palantir AIP for enterprise use cases.
• Collaborate with data engineers to understand data sources, ensure data quality, and prepare datasets for model training and inference.
• Conduct experiments, evaluate model performance, and iterate on features and model approaches.
• Integrate AI models into Foundry workflows to surface insights and support business processes.
• Support model deployment and monitoring by following established team standards and best practices.
• Work closely with business and domain stakeholders to translate requirements into practical AI-driven solutions.
• Document model behavior, assumptions, and limitations to support transparency and compliance.
• Stay up to date with applied AI and GenAI trends and contribute ideas under guidance from senior team members

Requirements:

• 3+ years of experience in machine learning, AI engineering, or applied data science.
• Strong Python skills; experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Hands-on experience with LLMs, NLP, or GenAI use cases (e.g. prompt design, embeddings, text classification, summarization).
• Practical understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and iteration.
• Experience working with structured data (tabular, time series); exposure to text or unstructured data is a plus.
• Familiarity with enterprise data environments and collaborative development workflows.
• Ability to clearly explain model results and AI 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

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

Mine Marketing works on the connection between advertising, data, and automation. We’re looking for a Technical Data & Automation Specialist to join our team and work closely with leadership on data, automation, system development, troubleshooting, and production operations.


What you will do with us:
- Connect advertising systems with internal data systems
- Build and improve pipelines that handle bulk in real time 
- Dig deep into performance issues and translate data into business decisions 

What we're looking for 🎯
- Hands-on experience with Claude Code and building automations
-High command of SQL: complex queries, optimization, performance thinking 
- Understanding of Data Pipelines, ETL, and Data Processing Processes
- Familiarity with performance metrics: ROI, CPA, CTR and the ability to connect data to decisions
- Analytical, entrepreneurial thinking, and true independence in complex tasks

Significant Advantage
- Experience in production systems in the advertising / performance worlds
- Working with Meta Ads/Google Ads (APIs)
- AWS/GCP experience

What awaits you ✨
- Real data that drives business decisions
- Real technical challenges: scale, reliability, accuracy 
- Lots of ownership and freedom to move things fast


What we offer:
- Opportunities for professional development and personal growth 🚀

- Competitive salary, reasonable and fair working conditions 💵

- A ridiculously awesome team and work environment 🎉

- Training opportunities, including paid courses and webinars 💻

- Remote working conditions 🏠

- Generous PTO and Holidays 🌴

Join us and let's make some social media magic happen! Apply now!

We are looking for a Marketing Analyst (Web Acquisition). Our Analytics team is looking for someone to take ownership of how conversion signal gets delivered, measured, and trusted across our paid web traffic. You will own the full chain from server-side postbacks and click-ID capture to UTM taxonomy and affiliate reconciliation, catch measurement gaps before they hit spend, and turn conversion and funnel data into dashboards and recommendations that our marketing and User Acquisition teams act on daily. It's a hands-on role for someone who treats SQL, BI, and Python as everyday tools, is comfortable testing hypotheses alongside performance marketers, and wants their analysis to directly shape how we scale acquisition across millions of users in Tier-1 and international markets.

About the company: United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale - fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide.

In this role, you will

• Own conversion signal delivery end to end: S2S postbacks per channel, event mapping, deduplication across event sources, and match-quality diagnostics
• Own identity and match quality: hashed first-party data used for matching, click-ID capture and persistence from landing page to CRM to payment
• Own what we optimize toward: value-based bidding, conversion value modelling, event taxonomy and attribution windows
• Work across channel specifics: Google Ads conversion diagnostics, Enhanced Conversions, offline conversion import, gclid/gbraid/wbraid and Consent Mode; Meta Conversions API, EMQ and deduplication; TikTok/Snapchat Events API and ttclid/sccid; AppLovin AXON Conversion API; Mintegral tracking URLs, UTM capture and S2S postbacks; affiliate postback integrations, click and sub-ID passing, conversion validation
• Build monitoring and alerts for signal errors, latency, coverage, match rates and platform-vs-internal discrepancies
• Investigate signal-related performance drops and assess the measurement impact of site releases and ad-platform changes before they hit spend
• Own UTM taxonomy and campaign naming conventions across all channels, with automated validation
• Own affiliate measurement: deduplication between partner postbacks and paid channels, attribution windows and overlap rules, conversion validation and payout accuracy, partner-level quality and fraud controls
• Analyze campaign and partner performance and traffic quality by channel, campaign, creative, geo and placement, including landing-page and checkout funnel conversion, lead quality, repeat purchase, LTV and payback
• Find growth points in CAC, ROAS and payback and turn them into recommendations the UA and affiliate teams can act on
• Test optimization hypotheses with UA: bidding strategy, which conversion to optimize for, conversion value definitions, audience and creative structures
• Build automated Tableau dashboards and ad-hoc reports on conversion values, bidding performance, signal delivery, partner payouts and funnel metrics
• Build and maintain custom marketing datasets in BigQuery on top of network, GA4, affiliate and CRM data

It's all about you

• 3+ years of experience in marketing or product analytics, with hands-on ownership of paid acquisition data
• Confident SQL in BigQuery
• Solid understanding of statistics: funnel conversion, sample size, telling a real difference from noise
• Python (Pandas) for analysis and automation: data validation, conversion uploads, recurring pipelines
• Hands-on Tableau, from data model to dashboards the team uses daily
• Practical experience with server-side conversion delivery on at least one platform: Meta CAPI, Google offline / Enhanced Conversions, TikTok or Snapchat Events API, or affiliate postback integrations
• Understanding of web attribution and performance marketing: click IDs and UTM, attribution windows, why platform, GA4 and internal numbers disagree and which to trust for which decision
• Understanding of consent, first-party identity and cookie limitations, and what they do to measured conversions
• Experience collaborating with User Acquisition teams and supporting data-driven decisions
• Strong analytical thinking and attention to detail
• Ability to identify root causes of changes, not just describe the numbers
• Ability to build and defend clear business conclusions and recommendations
• Proactive mindset and strong communication skills

Would be a plus

• Experience with A/B testing
• Experience using AI tools such as Claude in your analytical work
• Experience with affiliate / performance-partner measurement: S2S postbacks, sub-ID structures, conversion validation
   

What we offer

Care and support:

• 20 paid vacation days, 15 sick leave days, and 6 additional days off for family events
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Maternity Recovery Support Allowance
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule
• Modern equipment or depreciation of your own tools

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Access to premium AI tools and technologies
• Corporate library, book club, and knowledge-sharing events

Hiring process

• Intro call
• Technical Interview
• Bar-raising
• Reference check
• Offer

Our Mission and Vision

At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders — the ones shaping the digital economy — with the financial infrastructure they deserve. To achieve that, we’re on a bold path: to become the #1 payments orchestration platform in the world.
 

We believe the future of payments is shaped by people who think big, take ownership, and bring curiosity and drive to everything they do. That’s exactly the kind of teammates we want on board.

About the Role
 

As a Junior Business Analyst in the Account Management and Sales team, you’ll gain hands-on experience in fintech while strengthening your analytical, operational, and business skills. 
This role places you at the core of client interaction and business process optimization, where every task directly contributes to Solidgate’s growth.
 

What you’ll own

• Interacting with clients, addressing requests, and providing information about our products and services.
• Preparing presentations, documentation, and organizing meetings.
• Supporting operational processes within Account Management and Sales teams.
• Analyzing sales results and providing recommendations to optimize team processes.
   

You’re a great fit if you have

• Bachelor’s or Master’s degree (completed or in progress)
• Strong academic achievements and results
• English proficiency at Upper-Intermediate level or higher
• Excellent analytical and communication skills
• High level of responsibility and a results-driven mindset

Participation in international or academic programs (FLEX, Erasmus, CFA Research Challenge, or similar) will set you apart.
 

Why Solidgate?

• No internships here — we build careers. Get hands-on from day one and make a real impact.
• Enjoy the ride. A wow office in Kyiv center, daily lunches, snacks, team buildings, and a learning budget to keep you growing.
• Flex your schedule. Balance studies and work with flexible hours that fit your life.
• Your work = real outcomes. Shape how global companies move money.
   

💌 The Extras: 30+ days off, unlimited sick leave, free office meals, health coverage, and Apple gear to keep you productive. Courses, conferences, sports and wellness benefits — all designed for ideas, focus, and fun.

Tomorrow’s fintech needs your mindset. Come build it with us.

Know top talent? We’re always on the lookout. Recommend someone for our role, and if they get hired, there’s a bonus waiting for you — simple as that.

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.
 

The future of Web3 starts with you — join us as a Middle Financial BI Analyst!
 

Requirements
 

• Strong SQL skills, including subqueries, window functions, CTEs, and query optimization.
• At least 2 years of experience developing dashboards and reports using BI platforms.
• Solid understanding of data architecture and data modeling principles.
• Experience with Data Governance or Data Stewardship practices.
• Strong analytical mindset, proactive approach, ability to ask the right questions of data, and a structured problem-solving approach.
• Knowledge of Python is considered an advantage.
   

Responsibilities
 

• Develop and maintain dashboards within the BI platform.
• Create, maintain, and continuously update the business glossary and data catalog, including dataset documentation in Confluence.
• Collaborate with business stakeholders to gather requirements and deliver analytical solutions.
• Validate data accuracy, consistency, and overall data quality.
   

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.
• 22 business days of paid leave.
• Additional days off for national holidays.
• Health insurance.
  
  WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.
  
   Ready to disrupt the industry with us? Apply now and let’s build the decentralized future together!

Key responsibilities

• Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost.
• Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance.
• Lead by example through hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams.
• Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment.

Must have

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of IT experience, including 5+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms.
• 5+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs.
• Strong experience with enterprise security, governance, and compliance, and the ability to work effectively with enterprise architects and guiding or regulatory functions to ensure solutions meet organizational standards and control requirements.
• Enterprise AI enablement experience: designing solutions with Azure OpenAI and retrieval-augmented (RAG) patterns.
• BI/analytics architecture experience with Power BI or a similar enterprise BI technology.

Advantages

• Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns.
• Experience with Microsoft-first AI platforms and services such as Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns.
• Experience with Microsoft Fabric, Azure DevOps, GitHub Enterprise, and CI/CD for Data or AI solutions.
• Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault.
• Experience in life sciences, pharmaceuticals, or other regulated industries.
• Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture.

Key skills

• Hands-on technical leadership with a clear lead-by-example mindset.
• Strong architecture judgment across data, analytics, AI, integration, security, and non-functional requirements.
• Proven ability to own solution architecture end to end: shape target designs, validate them through prototyping or proof of concept where needed, guide delivery teams through implementation, and provide technical oversight through design reviews and production readiness checks.
• Ability to translate business problems into practical, delivery-ready technical solutions.
• Strong troubleshooting, decision-making, estimation, and risk management capability.
• Comfort working across distributed teams and external suppliers in enterprise delivery environments.
• Excellent communication skills in English, with the ability to drive alignment across architects, delivery teams, business stakeholders, and enterprise control functions.

Core technology stack

• Analytics: Power BI, semantic models, DAX, Power Query, Databricks, enterprise reporting and governance.
• Data platform: Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration.
• AI platform: Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt Flow.
• Engineering and governance: Azure DevOps, GitHub Enterprise, CI/CD, Microsoft Entra, Purview, Key Vault.
• Optional / advantageous: Microsoft Fabric, Python, data observability and monitoring patterns.

About the Client:

Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions. We develop advanced data and analytics solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Our projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.

About the Role:

We are looking for a Senior Data Analyst to support a project focused on assessing and building a comprehensive customer universe using data from internal and external sources. The role focuses on data acquisition, validation, matching, and process development — assessing data quality and coverage, matching external data with existing customer/account databases, identifying gaps and duplicates, and developing a structured approach for ongoing data maintenance and improvement. The contractor will work closely with Global Insights, Customer Excellence, and local affiliates to refine processes, support pilot readiness, and translate findings into practical recommendations.

Key Responsibilities:

• Support the execution of a data acquisition and validation POC using external data sources.
• Work with large datasets from internal and external sources, including cleansing, structuring, and validating data.
• Assess match rates, data coverage, duplicates, gaps, inconsistencies, and overall data quality.
• Investigate data discrepancies and identify opportunities for data enrichment and improvement.
• Evaluate external data attributes as potential indicators of customer/account size, activity, or potential.
• Develop and document approaches for customer universe identification, matching, validation, and ongoing maintenance.
• Create clear process documentation and SOPs and identify opportunities for process simplification or automation.
• Support pilot preparation by defining relevant requirements, success metrics, and recommendations.
• Collaborate with business stakeholders and local teams to understand requirements and communicate findings.
• Present analytical findings and practical recommendations to relevant stakeholders.
• Maintain project documentation, trackers, and progress updates.

Required Qualifications:

• 4+ years of experience in Data Analytics, Data Quality, Data Operations, Business Analysis, or a related field.
• Strong hands-on experience working with large and complex datasets.
• Advanced Excel skills and confidence working with large volumes of data.
• Practical experience with data cleansing, validation, matching, and deduplication.
• Experience combining and analyzing data from multiple sources.
• Strong analytical and problem-solving skills, with the ability to investigate data quality issues and identify patterns, gaps, and inconsistencies.
• Ability to independently structure ambiguous problems and develop practical approaches to solving them.
• Ability to translate analytical findings into clear business insights and recommendations.
• Strong attention to detail and data accuracy.
• Good communication and stakeholder management skills.
• Ability to work independently and take ownership of tasks in a fast-moving environment.

Nice to have:

• Experience in healthcare, aesthetics, medical devices, pharmaceuticals, or commercial excellence.
• Experience using external data providers or web-sourced datasets.
• Experience with CRM systems (Veeva CRM, Salesforce, Dynamics, etc.).
• Experience building customer universe or account segmentation approaches.
• Familiarity with data enrichment and data quality methodologies.
• Experience working across international markets.

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