Jobs Data Analyst

We’re looking for a Lead Product Analyst who can turn raw data into product strategy and help the team make smarter decisions every day. If you enjoy connecting metrics with real user behavior, leading analysts, and shaping product direction with data - this quest is for you 🚀
 

💪 YOUR QUEST-LINE:

• Guide and grow a team of Product Analysts - help them think deeper and keep the analytical bar high;
• Own analytics across key product domains - understand how users behave, what drives engagement, and where monetization actually happens;
• Shape and refine core product metrics (LTV, retention, churn, cohorts, funnels, activation/A-ha moments) and ensure consistent metric definitions and event taxonomy across the company;
• Develop and maintain dashboards in Tableau / Amplitude that reflect key product and business metrics;
• Drive experimentation culture - from shaping hypotheses to interpreting results and explaining what they mean beyond the numbers;
• Bring structure and statistical sanity into A/B testing and decision-making;
• Analyze user lifecycle and segmentation to uncover growth opportunities, friction points, and revenue drivers;
• Keep an eye on product health metrics, set up alerts/anomaly checks, investigate drops, and drive quick RCA with clear next steps;
• Work closely with CEO, CPO, Product Managers, and key stakeholders to make data part of everyday decisions;
• Continuously improve how we work with analytics - definitions, reporting logic, internal standards.

👨‍🚀 YOUR IN-GAME SKIN:

• 5+ years as a Product Analyst in product-based tech environments;
• 1+ year of experience leading or mentoring analysts;
• Strong SQL skills with hands-on experience working with large datasets;
• Experience defining and evolving core product metrics: retention, LTV, churn, funnels, cohorts, segmentation, activation;
• Hands-on experience designing and analyzing A/B tests, understanding statistical significance and experiment pitfalls;
• Experience working with Tableau and Amplitude;
• Experience building dashboards and reporting systems that support real product decisions;
• Experience owning metric definitions/event tracking and ensuring data consistency across tools (single source of truth);
• Understanding of how metrics connect to business impact and monetization logic;
• Strong communication skills - able to translate complex analysis into clear, actionable insights;
• Upper-Intermediate level of English.

🧜‍♀️ WILL BE YOUR BOOST:

• Familiarity with the Steam trade system, skins market, or gaming experience (CS2, Dota2, Rust);
• Domain experience in high-load E-commerce, Fintech, or iGaming projects;
• Proficiency in Python for deeper product analysis.

🥷 YOUR POWER-UPS SOURCE:

• Spontaneous weekend from the CEO;
• Support for professional development, including events (we went on a MAJOR trip to Copenhagen, for example), certifications, and educational materials;
• Start working at a time that’s comfortable for you;
• People Partner who will always support you in word and deed;
• Anniversary and performance bonuses;
• Input on project direction in a bureaucracy-free environment;
• Regular performance reviews and personal feedback sessions;
• 20 paid vacation days and 7 sick leave days;
• Assisting with the accounting and tax management for individual entrepreneurs;
• English language and Well-being benefit — so that you can improve your mental health the way you want;
• No time tracking;
• We purchase CHARGING STATIONS for our spacers;
• We help Ukraine: every month the company supports AFU and transfers donations for ammunition and supplies.

If you read everything carefully and exclaimed: «Oh, yeah, I'm good at everything and I want to do cool things together!», then we are already looking forward to your resume! 

Send them as soon as possible! 🚀

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 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 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’re looking for an analyst with a curious and proactive mindset — someone who:

• doesn’t just build reports, but understands the story behind the numbers
• asks the right questions
• digs deeper than what’s initially requested

This is not a pure BI developer role. We’re looking for someone who thinks through data.

Qualifications:

• Analyze product and business metrics within the iGaming domain
• Build, maintain, and improve dashboards (Tableau / Power BI / similar tools)
• Work with data using SQL (data extraction, transformation, validation)
• Identify insights, trends, and anomalies in datasets
• Translate data into clear conclusions and actionable business recommendations
• Contribute to defining KPIs and key metrics
• Communicate with clients: gather requirements and уточнять задачи
• Improve existing reporting systems and analytical approaches

Responsibilities:

• 2+ years of experience in analytics (data / product / BI / marketing analytics)
• Strong SQL skills
• Hands-on experience with BI tools (Tableau, Power BI, Looker, or similar)
• Strong analytical and critical thinking skills
• Ability to structure ambiguous problems independently
• End-to-end data handling skills: from query to insight
• Clear written and verbal communication

NICE TO HAVE

• Experience in iGaming or related industries
• Understanding of product analytics (funnels, retention, LTV, etc.)
• Experience working with large datasets
• Knowledge of Python or R for data analysis
• Experience in outsourcing or consulting environments

What we offer

• 40-hour working week
• Flexible schedule
• Fully remote work
• Opportunity to work with multiple products and clients (not just one project)
• Fast professional growth through diverse cases and early-stage company exposure
• Real impact on business decisions and product development

Sigma Software provides top-quality software development, graphic design, testing, and support services. Our solutions bring measurable benefits to industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, healthcare, and many more. We pride ourselves on delivering innovative, scalable systems that help our clients achieve their business goals.

We are seeking an experienced Senior Business Analyst (AI-Driven Solutions) to join our dynamic team. This role focuses on HRMS and ERP systems, with a strong emphasis on leveraging AI-powered tools to optimize HR and operational processes. The successful candidate will enhance operational efficiency, drive strategic initiatives, and ensure seamless collaboration across business and technical stakeholders.

Job Description

• Collaborate with stakeholders to gather, refine, and prioritize business requirements aligned with strategic objectives.
• Work closely with Product Owners, development teams, QA engineers, and designers to ensure accurate implementation of requirements.
• Analyze existing processes, systems, and workflows to identify improvement opportunities and propose scalable solutions.
• Create and maintain high-quality documentation, including user stories, acceptance criteria, process flows, and solution descriptions.
• Decompose high-level business needs into actionable requirements, ensuring traceability throughout the delivery lifecycle.
• Critically evaluate information from multiple sources, resolve inconsistencies, and uncover underlying business needs.
• Support backlog management activities, including refinement, prioritization, and estimation preparation.
• Facilitate effective communication between business and technical stakeholders.
• Conduct demos and presentations to showcase delivered value and maintain stakeholder engagement.
• Prepare user documentation and manuals to ensure smooth adoption of solutions.
• Contribute to continuous improvement of business analysis practices, processes, and tools, including the effective use of AI.

Qualifications

• Basic knowledge of APIs and system integrations.
• SQL skills for data extraction and validation.
• Strong understanding of Scrum and iterative ways of working.
• Expertise in user story creation, decomposition, and backlog structuring.
• Basic proficiency in wireframing and prototyping tools.
• Solid understanding of HR business processes and overall business operations.
• Practical experience with AI-powered tools for requirements analysis, documentation, data interpretation, and process optimization.
• Strong AI prompting skills and ability to integrate AI into daily workflows.
• Excellent verbal and written English; strong communication and stakeholder management skills.
• Proven problem-solving and conflict resolution abilities.
• Ownership mindset with a “getting things done” approach.

Nice-to-Have Skills

• Experience with ERP and/or HRMS systems.
• Familiarity with advanced prototyping or UX tools.
• Experience integrating AI tools into business analysis or product workflows.

About the Project: 

We are developing a decentralized lottery platform built on smart contracts and transparent on-chain mechanics. The product integrates blockchain infrastructure, backend services, and a modern web interface to ensure secure transactions, verifiable randomness, and automated prize distribution.

Responsibilities:

— Own setup, maintenance, and validation of GA4 and Google Tag Manager tracking
— Design and maintain a consistent event tracking structure across the platform
— Ensure accurate tracking of key user interactions across the product
— Analyze user behavior and conversion funnels to identify improvement opportunities
— Support product and marketing teams with tracking insights
— Monitor tracking accuracy and proactively identify discrepancies
— Collaborate with product, engineering, and marketing teams on analytics implementation
— Contribute to improving tracking of Web3-specific flows such as wallet connection and transaction steps

Requirements

— Hands-on experience with GA4 and Google Tag Manager
— Experience designing event tracking and working with funnels
— Experience validating tracking implementations and ensuring data accuracy
— Experience working with UTM tagging, including deep links
— Strong analytical thinking and attention to detail
— Ability to work independently on tracking-related tasks
— English level: Intermediate or higher

Nice to have

— Experience with Web3 or blockchain-based products
— Experience with fintech, trading, iGaming, or engagement-driven platforms
— Understanding of wallet-based user flows and attribution specifics
— Familiarity with on-chain analytics tools (e.g. Dune, Flipside, Nansen)

Details:

—  Part-time engagement

—  Fast-paced, product-focused startup environment

—  Emphasis on analytics quality, tracking accuracy, and actionable insights.

We are looking for a Senior Data Analyst  for our products in the eSports industry.

Location: remotely

Team: Senior Data Analyst, BI Analyst.

Interaction with: Head of Analytics.

Requirements:

• 3+ years of experience in Data Analytics / Business Intelligence with large-scale datasets.
• Advanced hands-on experience with SQL, ClickHouse, and relational databases.
• Strong experience building and optimizing dashboards and reports in Tableau.
• Experience delivering end-to-end analytics solutions and translating data into actionable business insights.
• Experience ensuring data quality, consistency, and governance standards.
• Experience owning analytics for a project or business unit.
• Experience in gaming, eSports, or high-load transactional environments is preferred.
• English- sufficient for professional communication and documentation.
• Ukrainian or Russian — Upper-Intermediate+ / Advanced (for internal communication).

Required education/Training background:

• Strong academic foundation in databases and SQL, statistics and probability, data analysis and modeling, and information systems architecture.

Will be an advantage:

• Proven experience integrating, transforming, and migrating data across multiple systems (ETL/ELT).

List of technologies:

• SQL (PostgreSQL, MySQL, SQL Server, Oracle).
• ClickHouse.
• ETL/ELT tools.

Responsibilities:

• Take full ownership of analytics for a specific project or business unit.
• Collect, clean, and transform data from multiple databases and sources.
• Design, create, and maintain database tables, views, queries, and data models.
• Integrate and migrate data across different systems and databases (ETL/ELT).
• Build, maintain, and optimize dashboards and reports in Tableau.
• Conduct in-depth data analysis and translate results into actionable business insights.
• Ensure data quality, consistency, and governance across all datasets.

Key Deliverables:

• High-quality dashboards and reports in Tableau.
• Analytical research and insights that inform business decisions.

What we could offer:

• 24 days of paid leave per year.
• 100% paid sick leave.
• Salary range: $2500-$4500 USD (depending on skills and experience).
• Full-time remote.
• Long-term collaboration.
• Sustainable business.
• Game and entertainment development company.

Stages:

• Test task.
• Technical interview (1 hour).

What You’ll Do
 

🔹 Analyze marketing campaigns and key performance metrics (CTR, CPA, ROI)
🔹 Work with dashboards and reports to identify trends and insights
🔹 Support optimization of funnels and find growth opportunities
🔹 Prepare reports and translate data into clear business conclusions
🔹 Collaborate with marketing, product, and data teams
🔹 Assist in testing hypotheses (A/B testing, creatives, funnels)

What We Expect

✅ Basic experience with SQL and/or Python
✅ Strong analytical and data-driven mindset
✅ Ability to work with dashboards and interpret data
✅ Understanding of key marketing metrics (CTR, CPC, CPA, etc.)
✅ Proactive attitude and willingness to learn
✅ English level B1–B2+

Will Be a Plus
➕ Experience in iGaming / retention / retargeting
➕ Understanding of tracking links, postbacks, analytics metrics
➕ Experience with A/B testing
➕ Basic knowledge of attribution models (Post-Click / Post-View)

What We Offer

✨ Opportunity to grow in AdTech / Marketing Analytics
✨ Work with real data and performance-driven задачами
✨ Support from experienced team members
✨ Remote work and flexible schedule
✨ Career growth to Middle/Senior roles

We are looking for a Junior Business Analyst (Data analyst) with strong analytical capabilities and hands-on BI expertise. The ideal candidate is comfortable working independently, fluent in SQL, and able to bridge business while driving data-driven decisions.

Key Responsibilities

• Own reporting and analytics for lending products.
   
• Perform deep, business-oriented data analysis to support strategic and operational decision-making.
   
• Design, build, and maintain BI reports and dashboards (Power BI).
   
• Perform reconciliation analysis across systems (loan data, balances, payments, statuses, etc.).
   
• Translate business requirements into analytical queries and data models.
   
• Validate data consistency across multiple sources (e.g., Salesforce, internal systems).
   
• Identify trends, risks, and performance drivers within loan portfolios.
   
• Support product and operations teams with ad-hoc analytical requests.
   
• Ensure data accuracy and reporting reliability.

Required Skills

• 1+ years of experience as a Business Analyst and Data Analyst in financial services and lending.
   
• Strong business-focused data analysis skills with the ability to interpret data in a business context.

• Understanding of the loan lifecycle, underwriting, servicing, and collections processes.
   
• Advanced SQL skills (complex joins, aggregations, window functions, performance optimization).
   
•  Experience with BI tools (Power BI required).
   
• Experience building end-to-end dashboards and performance reports.
   
• Experience in reconciliation processes involving financial data (loan balances, payments, etc.).
   
• Ability to work independently with minimal supervision.
   
• Strong communication skills.
   

Nice to Have

• Experience with Snowflake.
   
• Basic understanding of Machine Learning concepts (risk scoring, segmentation, forecasting).

Profile Expectations

• Analytical thinking and business acumen.
   
• Detail-oriented with a strong focus on data accuracy.
   
• Comfortable operating in a fast-paced lending environment.
   
• Able to balance strategic analysis with operational reporting.
   
• Proactive in identifying insights and resolving data issues.

Five years ago, this job needed a team of four: an analytics engineer, a BI developer, a data analyst, and a stats specialist. Today, with the right platform and the right AI tooling, one sharp person can do all of it — faster. We've built the platform. We need that person.

Bright Gaming is an online casino founded in 2023 by iGaming veterans. Growing fast, fully remote, lean by design — no legacy debt, no committees.

The role

You'll own our analytics platform end-to-end and use it to drive better decisions across marketing, product and CRM. Two hats:

• 🔧 Builder — Extend our SQL-first warehouse, cohort/revenue/player-value models, BI layer and AI tooling. New questions arrive every week; you build the answers.

• 🎯 Operator — Sit close to marketing, product and CRM. Find where the levers are, pull them, then check whether they moved. You'll be measured on whether those teams ship better decisions because of you.

   

Reports to founder.

What you'll own

• KPI reporting for leadership and department heads
• Marketing analytics: ROAS, acquisition cost, Fraud traffic
• Product & CRM analytics: funnel, A/B tests, segmentation, lifecycle, churn, bonus ROI
• Player analytics: cohort retention, LTV, VIP and churn signals
• Reconciliation against payment, game-provider and partner reports

• Extending the data layer as new business questions arrive

   

Who you are

A technical analyst who thinks like a commercial operator. As comfortable refactoring a 300-line SQL query as sitting in a marketing standup arguing about creative spend. You don't wait to be asked questions — you go find them. And you've figured out that AI tooling is a force multiplier, not a threat.

Must-have:

• 3+ years as a Data Analyst, Analytics Engineer or Product Analyst in iGaming
• Advanced SQL on PostgreSQL — window functions, CTEs, query optimisation. 
• Python for analysis, automation and third-party APIs (pandas, requests).
• BI tooling (PowerBI, Metabase, Looker or similar)
• Git — branches, PRs, code review. Everything lives in version control here.
• Fluent with AI tooling. You use Claude / ChatGPT / Copilot every day, prompt them well, and know when not to trust the output.
• Strong grasp of iGaming metrics: GGR/NGR, FTD, LTV, ROAS, retention cohorts, churn
• Commercial instinct — you can brief a non-technical exec without jargon

• B2 English or higher

   

Strong plus:

• Statistical fundamentals 
• dbt or similar transformation framework
• REST API integration experience
• Experience embedded with marketing or CRM teams (not just serving tickets)

What we offer

• Fully remote, flexible hours, performance bonuses
• Real ownership — you'll be the data person, not the seventh analyst
• Modern stack, zero legacy, no 15-year-old reports
• Direct line to leadership
• The chance to prove the full-stack, AI-augmented analyst is the future of data teams

We are looking for an ambitious and detail-oriented iGaming Research Analyst to deeply analyze gaming products and bring structure to a large volume of data across our own games and competitors. This is an operational-analytical role with a clear path toward strategic responsibilities and product analytics.

What You Will Do:
1) Research Our Games

• Extract ~50 parameters per game: interface, mechanics, RTP, volatility, gameplay features, multipliers, paylines, bet ranges, and more;
• Analyze games through UI, descriptions, visuals, and gameplay logic;

• Maintain a unified database, ensuring consistent comparison standards across all products.

   

2) Competitor & Market Analysis

• Identify top-performing games across specific countries and regulated markets;
• Extract the same ~50 parameters from competitor titles;
• Compare competitors’ games with our portfolio;

• Determine which of our games align best with market leaders — supporting product certification decisions;

   

3) Data Analytics & Structuring

• Manage organized sheets, summary tables, clusters, and filters;
• Create comparison matrices and analytical tables;

• Prepare concise findings and recommendations.

   

4) Growth & Development
 As you gain experience, you will participate in:

• Product discussions and decision-making;
• Improving research and analytics methodology;
• Identifying new parameters for deeper analysis;

• Recommending the best games for different markets.

   

Requirements:
Must-Have:

• Strong Excel / Google Sheets skills (formulas, pivots, filters, VLOOKUP/HLOOKUP/IMPORTRANGE);
• Analytical mindset and high attention to detail;
• Willingness to handle large volumes of operational research;
• Interest in gaming and motivation to grow in iGaming analytics;
• Basic English to understand game interfaces and terminology.

Nice-to-Have:

• Experience in iGaming (slots, crash, betting games);
• Understanding of mechanics: RTP, volatility, jackpots, bonuses, multipliers;
• Competitive analysis skills;
• Basic SQL (or readiness to learn);
• Experience with iGaming markets, providers, certifications.

Personal Qualities:
We need someone who:

• Meticulous, focused, yet energetic and proactive;
• Able to work independently without constant supervision;
• Improvement-oriented rather than task-following;
• Aspiring to grow into an Analyst, Product Specialist, or Market Research Lead;

• Passionate about games and curious about how they work under the hood.

   

We offer:

• Convenient work schedule (8/9/10/11 — 17/18/19/20);
• 21 working days of vacation;
• 10 working days of sick leave;
• Extra days off for birthday, wedding, etc and for public holidays;
• Payment for training;
• Financial and intangible gifts from the company;
• Free communication, the ability to influence processes and implement your ideas;
• Comfortable and easy management, no tyranny.

How We Hire:
We’re not here to make you jump through flaming hoops (unless that’s your hobby — in which case, we’ll cheer you on). Our goal is to see if we’re a good match for each other — and to make sure you enjoy the ride.
1. Pre-Screen Call — 30 min
A quick hello with one of our recruiters. We’ll talk about your background, your goals, and what you’re looking for. In return, we’ll tell you more about ABXplay, the role, the team, and answer any burning questions.
2. Hard Skills Interview — 45–60 min
You’ll meet your potential manager. We’ll dive into the real stuff — your future responsibilities, the challenges ahead, and the kind of work you’d actually be doing (no mystery here).
3. The Offer Stage

Our Client is the fast-paced digital healthcare company which creates the growing portfolio of online health communities for people with chronic conditions. Company’s mission is to improve patient’s quality of life by connecting them with each other, with caregivers and healthcare industry partners, building beneficial social interactions and meaningful health conversations. 

About project:
The core of the project is working with the data; the target is to re-design and enhance data-driven solutions. The team is responsible for expanding and optimizing the data flow and data pipeline architecture, model and analyze data, interpret trends or patterns in complex data sets and translate them into product and marketing insights. If you are excited by the prospect of optimizing or even re-designing our data architecture to support our next generation of products and data initiatives, we would be thrilled to have you apply!

Requirements:

● Good Python skills

● Good working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases

● A successful history of manipulating, processing and extracting value from large disconnected datasets

● Experience building and optimizing data pipelines, architectures and data sets

Technologies:

• Python
• AWS: SES, RDS (MySQL), EC2, Elasticsearch Service, Route 53, VPC, etc
• Snowflake
• Docker
• dbt
• Airflow

Job responsibilities:

● Manage and optimize core data infrastructure

● Build monitoring infrastructure to give visibility into the pipeline’s status

● Monitor all jobs for impact on cluster performance

● Run maintenance routines regularly

● Tune table schemas to minimize costs and maximize performance

● Build and maintaining custom ingestion pipelines

● Build non-SQL transformation pipelines

● Build processes supporting data transformation, data structures, metadata, dependency and workload management

Robomate develops RPA solutions, AI tools, and custom software for businesses that want to automate operations, reduce manual work, and improve process efficiency.

We are looking for a Business Analyst who can understand client business processes in depth, identify automation or software opportunities, and translate business needs into clear requirements for the delivery team.

This role is important for connecting client goals with technical implementation. You will work closely with stakeholders, developers, and solution architects to help shape solutions and move projects from discovery to delivery.

What you will do

• analyze client business processes and identify opportunities for automation or software development;
• run discovery sessions and stakeholder interviews;
• identify business problems and turn them into clear functional and non-functional requirements;
• prepare structured documentation for the engineering team;
• define workflows for RPA, AI, and custom software solutions;
• work with developers and solution architects to shape technical solutions;
• support project planning, prioritization, and scope clarification;
• stay involved during delivery to clarify requirements and validate implemented functionality;
• identify process inefficiencies and suggest practical automation approaches.

What we expect

• 2+ years of experience as a Business Analyst in IT or software development;
• strong skills in requirements gathering and stakeholder communication;
• experience writing structured documentation;
• experience with process modeling using BPMN and UML;
• strong analytical and problem-solving skills;
• ability to translate business needs into clear technical requirements;
• experience working with development teams in Agile / Scrum environments;
• solid English communication skills.

Nice to have

• experience in AI, automation, or digital transformation projects;
• understanding of system integrations, APIs, and data flows;
• experience in outsourcing or consulting companies;
• basic understanding of software architecture.

What you will get

• involvement in projects where business analysis directly affects the final solution;
• hands-on experience with RPA, AI automation, and custom software delivery;
• exposure to international clients and real business cases;
• room to grow into more complex solution analysis and cross-functional project work;
• a team where initiative, ownership, and clear thinking are valued.

What we offer

• transparent communication and decision-making;
• paid vacation, sick leave, and basic compensation package;
• compensation for professional courses and certifications;
• a young, energetic team with low bureaucracy and space for initiative;
• office in Podil.

Hiring process

• Intro call (15–20 min) - background, expectations, relevant experience;
• Soft / analytical interview - experience, thinking process, practical cases;
• Offer

Litero AI is an AI startup founded by experienced serial entrepreneur with over 15 years of experience and funded by 5 leading VCs. Our small, dedicated team has a strong history of working together to create tools that help students research, write, and learn more effectively using cutting-edge AI technology.

As we continue to grow, we are looking for a Data Analyst who will help us deeply understand how users interact with the product, identify growth opportunities, and turn data into actionable product decisions.

This is a high-impact role where you'll work directly with the founder, and your analytics will directly influence product development and growth strategy.

Responsibilities:

• Analyze product and business data to identify user behavior patterns, growth opportunities, and product improvement areas
• Design and maintain event tracking and event maps to ensure high-quality product analytics
• Write and optimize advanced SQL queries to analyze large datasets
• Translate complex data into clear insights, dashboards, and recommendations for stakeholders
• Partner with product and marketing to support data-driven decision making

Requirements:

Critical: 

• 3+ years’ experience as Data Analyst or similar analytics role
• Advances SQL skills and experience working with large datasets
• Experience with data analysis and data quality assessment
• Experience working with BigQuery
• Experience designing event tracking / event maps for product analytics
• Confident written and spoken English (B2 level or higher).

Highly preferred: 

• Experience with dbt, including incremental modeling
• Experience with PostHog or similar product analytics tools
• Experience designing and analyzing A/B tests
• Experience with product, marketing, or growth analytics for subscription-based products

Will be a plus:

• Experience working with Stripe data sources
• Experience with Google Cloud
• Knowledge of Python
• Knowledge of R

What We offer:

• 32 paid vacation days per year
• Unlimited paid sick leaves
• Competitive compensation aligned with your experience and impact
• Fully remote work with the flexibility to work from wherever you feel most productive

• A supportive and talented team

   

What We Value

• Strong analytical curiosity and a desire to deeply understand user behavior
• Attention to detail and high standards for data quality
• A proactive mindset - identifying opportunities rather than waiting for requests
• Structured problem-solving and critical thinking
• Strong communication and data storytelling skills
• Ability to work independently while collaborating closely with cross-functional teams

Interview Stages:

Screening Interview with HR Specialist ➡️ Interview with CEO ➡️ Final Technical Interview ➡️Job Offer

Sounds like your next career move? Send us your CV - we’d love to meet you :) 

Hi!
We are happy to introduce you to Softsich! We are a young, ambitious, and fast-growing company that creates innovative digital products and is confidently expanding its presence in global markets.
We are currently looking for a Data Analyst to help our teams make data-driven decisions. Your main mission will be to prepare reports, automate analytical processes, and complete ad-hoc tasks. If you enjoy working with data, are able to find patterns in it, and can turn numbers into a comprehensible story, this role is for you.

Responsibilities:

• Preparing data using SQL for further visualisation.
• Developing DAGs in Airflow (working with Python).
• Visualising data and building reports in Tableau.
• Preparing regular reports and executing ad-hoc queries for the Retention Department.
• Optimising existing data collection and processing processes.

Our ideal candidate has:

• At least 1.5-2 year of commercial experience as a Data/Business Analyst (preferred).
• Strong SQL skills (ability to write complex queries using CTEs, window functions, and joins).
• Good knowledge of Python (experience with pandas, understanding of functions, ability to write modular scripts).
• Experience working with Tableau.
• Strong sense of responsibility and proactivity.
• Fast learner with high attention to detail.

We Offer:

• A flexible schedule and remote format, or offices in Warsaw/Kyiv — you choose.
• 24 paid vacation days, sick leave, and health insurance (UA-based, other locations in progress).
• A supportive, friendly team where knowledge-sharing is part of the culture.
• Coverage for professional events and learning.
• Birthday greetings, team-building events, and a warm human connection beyond work.
• Zero joules of energy to the aggressor state, its affiliated businesses, or partners.

Join our team, where data is not just numbers, but the basis for big decisions! 
Send us your CV and start your journey to new career heights with us! 🚀

We are building a scalable HR data lake architecture to power AI-driven automation for a leading construction company.

Stack: Snowflake, dbt, AWS, Workday APIs

Key Responsibilities

- Data Modeling: Design logical/physical models and governed semantic layers.

- Integrations: Structuring Workday API data into "analytics-ready" states.

- AI Alignment: Optimizing data workflows for automated HR AI agents.

- Compliance: Ensuring data validation and security for sensitive HR records.

Requirements

- Expertise: Strong proficiency in Snowflake and dbt.

- Domain: Experience with Workday structures and HR data domains.

- Skills: Ability to translate complex business needs into technical architecture.