Jobs Data Analyst

We are looking for a Senior 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

• 5+ 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).
   
• Strong 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

• Strong 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.

Hi! We’re Leaply — a fast-growing ecosystem of digital and physical products designed to help people build healthier habits and lead better lives. We launched in 2024 and have already seen explosive growth — 10x revenue in the past six months — with strong traction across the US, Europe, and beyond.

At Leaply, we challenge traditional career paths — we value ownership over job titles, and impact over process. As we scale, we’re looking for a sharp, data-driven Analyst to refine our ops team, enhance team performance, and implement scalable systems.

Role Overview:

As an Analyst, you will be the strategic bridge between raw data and operational excellence. You will join our Operations team to drive efficiency across three key pillars: Monetization, Support, and Online reputation. Your role goes beyond just building reports; you will be expected to uncover hidden patterns, propose data-backed solutions, and actively participate in their implementation, including our upcoming AI-driven automation initiatives.

Technical Stack, that you will work with:

• Data Warehouse: Google BigQuery (Advanced SQL is a must).
• Visualization: Tableau (Creating intuitive, actionable executive dashboards).
• Product Analytics: Amplitude (Analyzing user behavior and funnel performance).
• Innovation: Implementation and optimization of AI/LLM tools for operational workflows.

Key Responsibilities:

• Foundation Building & Data Architecture: As the first analyst in this direction, you will own the end-to-end data flow—from querying and structuring raw data in BigQuery to ensuring a "single source of truth" for the entire Ops department.
• Advanced Analytics & Modeling: Move beyond basic reporting. You will develop antifraud models to mitigate risks and design complex behavioral segmentations to understand user lifetime value and churn triggers.
• Performance Monitoring: Architecting the automated KPI ecosystem and health-check dashboards for Payments, Support, and FirstLook.
• Strategic Insight Generation: Conducting high-level deep-dives into payment failure trends, transaction routing optimization, and operational bottlenecks.
• AI & Automation Integration: Leading the charge in implementing AI/LLM solutions—from automated support ticket classification to predictive routing and fraud detection.
• Actionable Implementation: Working as a strategic partner to Ops Leads to ensure your data models translate into direct business growth and process overhauls.

Potential Candidate Profile:

• Experience: 2+ years of experience in Data or Operations Analytics (preferably in Fintech, SaaS, or high-growth startups).
• SQL Mastery: Proficiency in writing complex, optimized queries (CTEs, Window Functions, etc.).
• Visualization Skills: Proven ability to tell a story with data in Tableau, making complex metrics easy for stakeholders to digest.
• Analytical Mindset: Strong understanding of product funnels (Amplitude) and business unit economics.
• Adaptability: A keen interest in AI/Machine Learning and a willingness to experiment with new automation tools.
• Communication: Fluent in translating data findings into clear business recommendations.

Focus Areas (Your Impact)

• Payments: Minimizing cancell rates, optimizing transaction flows, user segmentation etc.
• Support: Analyzing CSAT, other metrics and identifying high-impact areas for AI chatbot implementation.

• Online reputation: Integrating analytical tools for sentiment tracking across different platforms.

   

Why This Role?

• Build the Function from Scratch: You aren’t just joining a team; you are establishing the analytical culture in a team. You will have the autonomy to define the tools, the methodologies, and the standards for how Operations uses data.
• Path to Data Science: This role is designed for growth. With our focus on AI, anti-fraud modeling, and complex segmentations, you will have the perfect sandbox to transition into Data Science or Advanced Machine Learning roles in case you want.
• High Visibility & Ownership: As the pioneer analyst in this direction, your insights will directly influence executive-level decisions. You will see the immediate impact of every model you build.
• AI-First Environment: You won't be stuck with legacy processes. You will be at the forefront of implementing AI-driven operations, giving you a massive competitive edge in the future market.

What you’ll get:

• Competitive compensation and a high-impact role.
• Full Ownership: Freedom to optimize and evolve the support function as you see fit.
• Support from the best: Access to internal professional communities (Marketing, Product, Operations) within the SKELAR network.
• A meaningful mission: Help millions of people live healthier lives every day.

Leaply is backed bySKELAR, a venture builder with over 10 successful B2C businesses. Beyond business, we support the SKELAR Foundation, a charitable initiative created by employees to support the Ukrainian Armed Forces.

Join us in building the next big thing!

We are looking for a Compensation Analyst. 

Requirements

• Skills in building data models
• Advanced proficiency in Excel and Google Sheets
• Experience writing scripts for Excel and using add-ons
• Ability to set up a process for regular data updates (workflow, stakeholders involved, access permissions)

• Experience creating dashboards in Excel or other platforms

   

Will be plus

• Experience building bots on any platform (Telegram, WhatsApp, Facebook; SendPulse, Pipebot, or any other)

   

Soft Skills

• Perseverance
• Meticulousness in working with data
• Attention to detail

Responsibilities

• Extracting data from various information systems, cleaning it, and preparing it for analysis
• Building interconnected tables and dashboards

• Analyzing the obtained data and identifying patterns and dependencies

   

Our stack: Jira, Excel, Google Spreadsheets

Benefits

• An exciting and challenging job in a fast-growing business groups, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more
• Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed
• Beautiful offices in Warsaw, Limassol, Kyiv, Almaty, Yerevan — work remotely or on-site with comfort and enjoy the opportunity to build a network of connections with professionals day by day
• Modern corporate equipment based on macOS or Windows and additional equipment are provided
• Paid vacations, sick leave, personal events days, days off
• ️Corporate health insurance program for your well-being
• Referral program — enjoy cooperation with your colleagues and get the bonus
• Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
• Rewards program for mentoring and coaching colleagues
• Free internal English courses
• Yoga classes to help you stay active and energized
• In-house Travel Service
• Multiple internal activities: online platform for employees with quests, gamification, presents and news, RedCore clubs for movie / book / pets lovers, special office days dedicated to holidays
• Corporate events, team building

Expert in CCC ONE? Skip the training and start producing with a New York industry leader.

We are representing a premier, family-owned collision repair center in The Bronx with over 40 years of success. As a trusted NYC hub with certifications for Tesla, Mercedes-Benz, and major insurers, this shop provides a high-volume, professional environment where your expertise is the missing piece of the puzzle.

Key Responsibilities:
- Write collision repair estimates within CCC ONE and prepare them for insurance company submission.
- Review detailed vehicle damage information to produce accurate repair proposals that meet both shop standards and insurer expectations.
- Maintain high responsiveness throughout the workday to support daily estimating needs and shop workflow.
- Ensure that estimating work moves quickly so the in-office team can focus on production and customer-facing tasks.
- Assist with broader CCC ONE-related functions, supporting both estimating and general shop management workflows.

Must-Have Requirements:
- Hands-on, prior experience using CCC ONE in a collision repair or insurance environment is strictly required.
- Proven track record of writing collision repair estimates specifically for insurance claims.
- Ability to work autonomously with very limited software training; you must already be well-versed in the platform.
- Ability to maintain a productive full-time remote workflow without constant supervision.
- Comfort working in English; Spanish fluency is a welcome plus, as the team already includes Spanish-speaking members.

Our client is an international product-based IT company specializing in the iGaming industry.

Founded in 2014, the company quickly became a leader in the CIS region and is now expanding globally.

We are currently looking for a Middle Marketing Data Analyst.

📋 Key responsibilities and your contribution:

— Multi-channel performance tracking: analyze the efficiency of diverse traffic sources using ROI, ROMI, and LTV metrics

— Quality control: contribute to the development of monitoring systems to detect traffic anomalies and low-quality affiliate leads

— Insight automation: design and maintain scalable dashboards in our BI tool that empower stakeholders to make real-time bidding and budget decisions

— Experimentation: lead the analytical side of A/B testing for landing pages and creative strategies, ensuring statistical significance and actionable results

— Utilize SQL to manipulate and analyze data efficiently

— Collaborate with teams to support product and marketing initiatives with data insights

— Conduct advanced data analysis to uncover insights that will inform business strategies

📚 Your qualifications:

— 2+ years of experience in Data or Marketing Analytics (preferably iGaming experience)

— Demonstrated experience in delivering actionable insights and data-driven recommendations

— Proven ability to independently tackle complex data analysis tasks

— Strong communication skills and business mindset

— Proficiency in BI tools, with a preference for candidates with Tableau knowledge

— Strong practical knowledge and experience with SQL and other databases

➕ Nice to have:

— Familiarity with Google Analytics, Google Tag Manager

— Knowledge of web/product analytics to see how acquisition traffic converts within the funnel

— Experience with GBQ data stack and Git

Benefits:

⭐ Days of recovery: 20 paid vacation day per year and unlimited sick leave days.
⭐ Health: corporate medical insurance, a company psychologist and a Cafeteria of Benefits for personal wellness choices.
⭐ Education: a variety of foreign languages course for you to choose from. Also we are open for your development and you can choose different courses /training for improving your skills.
⭐ Compensation: additional benefits that can be used according to company policy, e.g. paid business trips, international conference opportunities, lunch perks at our offices etc.
⭐ Work Environment: work remotely or from one of our offices in Cyprus, Portugal, Poland, equipped with the equipment you’ll need for success.

 We are looking for a Senior Data Analyst to join our Identity team.

This is not a classic BI/dashboard role. You will work on large-scale identity resolution, AI scoring systems, data quality, and product decision-making.

We process 70+ TB of data and run 20M+ enrichment operations daily across multiple data sources.

You will work directly with Product and Engineering and own analytics for one of the core business domains.
 

🟢 What You’ll Do

• Build frameworks to measure data quality, match rates, AI scoring accuracy, ROI
• Analyze and improve LLM-based scoring systems together with engineers
• Compare external data providers and identify highest-value sources
• Investigate mismatched / conflicting data across systems
• Support internal teams with audience, campaign, and performance analysis
• Detect pipeline or provider quality issues early and drive fixes
• Turn ambiguous business questions into clear decisions
   

🟢 Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team — not consultancy, not BI-only roles.
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. Can read and write complex queries on tens of terabytes without someone pre-modelling the data.
• Python for analysis at a working level — pandas, Jupyter, or equivalent. Can write a small script or helper when an existing tool doesn't cover the case.
• Built measurement or evaluation frameworks from scratch for systems with no baseline — candidate defined what to measure and how, not consumed someone else's KPI.
• Comfort with probabilistic systems — understands noise, ranking, scoring, and that 100% accuracy is not a goal.
• AI-native workflow — uses Claude Code, ChatGPT, Copilot, or similar AI tools daily in their process.
• English: B2+ (Upper-Intermediate) or higher.
   

🟢 Strong Plus

• LLM evaluation / prompt testing
• Identity graph / AdTech / MarTech experience
• Healthcare / pharma data experience
• A/B testing / experimentation
   

🟢 We Offer

• Fully remote
• Flexible hours (CET ±2 overlap)
• High ownership / direct impact
• AI-native environment
• Fast decisions, low bureaucracy

The company is building a healthcare-focused adtech platform that enables precise targeting of healthcare professionals using large-scale data and AI.

We’re looking for a Data Analyst to define how we measure data quality, evaluate AI/LLM-based scoring, and generate insights that support product, sales, and media buying teams. You’ll work with 70+ TB of data, design evaluation frameworks from scratch, and help optimize performance, cost, and data pipelines.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus (one or more)

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

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! 🚀

About the Role

We are looking for a Senior Analyst to help grow the business through data. You will analyze key metrics, identify growth opportunities, and turn insights into real actions that impact revenue.
 

Responsibilities

• Analyze key metrics (GGR, NGR, LTV, ARPU, churn, ROI) and identify growth drivers
• Identify funnel issues (deposits, retention, churn) and suggest solutions
• Build dashboards and reports (Power BI / Tableau)
• Run A/B tests and validate hypotheses
• Conduct market benchmarking and compare performance with competitors
• Prepare clear insights and present them to stakeholders
• Focus on high-impact tasks and business results

Requirements

• 3+ years of experience in analytics (iGaming is a must)
• Strong SQL and/or Python skills
• Experience with BI tools (Power BI, Tableau)
• Good understanding of key metrics: LTV, retention, churn, conversion funnel, GGR/NGR
• Experience with A/B testing and data-driven decision making
• Ability to turn data into clear insights and recommendations

Soft Skills:

• Proactive and result-oriented
• Strong analytical thinking
• Good communication skills
• Ability to prioritize and focus on what matters

Tools: GA, Jira, Confluence, Power BI
English: B1

Probation Goals

• Audit current analytics and suggest improvements
• Set up dashboards and alerts for key metrics
• Analyze funnel and identify main bottlenecks
• Deliver at least one improvement with measurable impact (+5–10%)
• Build a simple weekly report with key metrics and recommendations

Working Conditions

• Remote work
• Flexible start of the working day

Senior Product Analyst (iGaming)
 

About the Role

We are looking for a Senior Analyst to help us grow the business through data. You will analyze key metrics, find growth opportunities, and turn insights into real actions that impact revenue.
 

Responsibilities

• Analyze key metrics (GGR, NGR, LTV, ARPU, churn, ROI) and identify growth drivers
• Find issues in the funnel (deposits, retention, churn) and suggest solutions
• Build dashboards and reports (Power BI / Tableau)
• Run A/B tests and validate hypotheses
• Do market benchmarking and compare performance with competitors
• Prepare clear insights and present them to stakeholders
• Focus on high-impact tasks and business results

Requirements

• 3+ years of experience in analytics (iGaming is a must)
• Strong SQL and/or Python
• Experience with BI tools (Power BI, Tableau)
• Good understanding of key metrics: LTV, retention, churn, funnel, GGR/NGR
• Experience with A/B testing and data-driven decision making
• Ability to turn data into clear insights and recommendations

Soft skills:

• Proactive and result-oriented
• Strong analytical thinking
• Good communication skills
• Ability to prioritize and focus on what matters

Tools: GA, Jira, Confluence, Power BI
 

Probation Goals

• Audit current analytics and suggest improvements
• Set up dashboards and alerts for key metrics
• Analyze funnel and identify main bottlenecks
• Deliver at least one improvement with measurable impact (+5–10%)
• Build a simple weekly report with key metrics and recommendations

Working Conditions

• Remote work.
• Flexible start of the working day.

       We are an international iGaming holding, actively growing and now launching a new online casino project on the LATAM market, with an emphasis on Argentina.

       We are looking for a data-driven and creative Retention CRM Manager to take ownership of player lifecycle management and CRM communications. You will develop retention strategies, design and execute multi-channel campaigns (email, SMS, push, in-app), and drive personalization and automation that maximize player LTV, reduce churn, and increase revenue.

Key Responsibilities:

• Develop and execute CRM and retention strategies tailored for online casino players
• Segment player base by key parameters (LTV, deposit frequency, activity, geo, etc.)
• Plan, launch, and optimize multi-channel CRM campaigns (email, SMS, push, in-app, WhatsApp, Telegram, etc.)
• Monitor, analyze, and improve retention funnels and player engagement metrics.
• Collaborate with Marketing, Analytics, and Product teams to create personalized offers and promotions.
• Track and optimize KPIs such as Retention Rate, Reactivation Rate, Churn Rate, ARPPU, LTV.
• Run A/B tests and implement data-driven improvements.
• Support local marketing activities for LATAM players.
  
   

Requirements:

• 2+ years of experience as a Retention Manager / CRM Manager in iGaming
• Experience with the GR8 Tech platform is mandatory
• Hands-on experience with CRM tools (Optimove, Smartico, Salesforce, Ometria, Emarsys or similar).
• Strong analytical skills and experience with BI tools (Tableau, Power BI, Looker).
• Expertise in customer segmentation and building user journeys.
• Deep understanding of retention and monetization metrics in iGaming.
• English (B2+) is required; Spanish is a strong advantage (especially for LATAM).
• Creativity and ability to generate engaging and relevant content for different audiences.
   

What we offer:

• Opportunity to become part of the launch of a large international project
• Freedom of action and influence on the brand strategy
• Work in a multicultural team of professionals
• Competitive remuneration and bonus system
• Prospects for career and professional growth within a large holding
• Remote work format
• Health and leisure care: paid vacation and sick leave 
• Quick decision making and freedom from micromanagement
   
   Are you ready to create a brand that will be a leader in LATAM? Then join the best and shape the future of the iGaming industry with us! 🚀

About the company:
       Our LATAM iGaming startup is more than a business, it is a place where ideas, talents and opportunities meet. 🤝
      As part of an international holding, we bring global expertise in the gaming industry to the Latin American market, while remaining close to the culture and needs of players.

       You can grow with us, influence the outcome and shape the gaming experience of the future.💯

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.