Jobs Data Analyst

About Us

Entravel is a member’s club for discounted luxury travel and white-label hotel platform provider focusing on the crypto industry, backed by VCs and prominent European founders. Our hotel product is incredibly strong; we offer more than one million properties, and our rates are amongst the lowest in the world. In fact, on most 5* hotels you won’t find a platform with lower rates than Entravel.

What We’re Looking For

We are looking for a highly skilled and experienced Senior Business Analyst to join our product and development team. In this role, you will act as a key link between business stakeholders and the engineering team, ensuring that business needs are clearly translated into functional requirements. You will play a crucial role in shaping and improving our hotel booking platform by analyzing business processes, identifying opportunities for optimization, and helping deliver scalable product solutions.

Responsibilities:

• Gather, analyze, and document business requirements from stakeholders;
• Translate business needs into clear functional and technical specifications for development teams;
• Work closely with Product Managers, Developers, and QA to ensure accurate implementation of requirements;
• Analyze existing business processes and identify opportunities for optimization and automation;
• Create and maintain documentation including business requirements, user stories, workflows, and process diagrams;
• Participate in product planning, feature definition, and backlog refinement;
• Support the development lifecycle by clarifying requirements and ensuring alignment between business goals and delivered solutions;

• Monitor product performance and suggest data-driven improvements.

   

Requirements:

• 5+ years of experience as a Business Analyst in software development environments;
• Strong experience in gathering and documenting business and functional requirements;
• Experience working with complex digital products or platforms;
• Solid understanding of software development lifecycle (SDLC) and Agile methodologies;
• Experience creating user stories, acceptance criteria, process flows, and product documentation;
• Ability to work closely with technical teams and understand system architecture and integrations;
• Strong analytical and problem-solving skills;
• Excellent communication and stakeholder management skills;
• Experience working with tools such as Jira, Confluence, or similar;
• Upper-Intermediate or higher level of English.
   

What We Offer:

• Flexible Start: Set your own comfortable working hours that accommodate your individual needs.
• Competitive Salary: High standards of remuneration reflecting your contribution and skills.
• Vacation: Enjoy 22 days of vacation for full rejuvenation and life enjoyment.
• Sick Leave: Ensure your health with 15 days of sick leave per year.
• Special Leave Cases: Support for significant life events such as weddings, childbirth, or the loss of a close family member.

RedCore is an international business group that creates technological solutions for digital markets. 

Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

Powering Growth from the Core — this is the key mission laid under RedCore’s strong foundation. This is how we consistently stay ahead: by evolving and creating scalable solutions, while remaining committed to open and transparent communication with our partners.

We’re looking for a sharp and driven Data Analyst to join our team!

Responsibilities:

• Extracting, cleaning, and analyzing data from various sources;
• Identify reporting needs, manage priorities and assess data readiness;
• Assisting in maintaining and improving data pipelines;
• Monitoring data accuracy and identifying anomalies;
• Documenting data processing logic and analytics workflows.

Requirements:

• Proficiency in SQL;
• Understanding of data visualization principles, experience with Tableau or other BI tools;
• Familiarity with Excel/Google Sheets (pivot tables, basic formulas);
• Analytical thinking and ability to work with large datasets;
• Basic understanding of statistics and data analysis;
• Attention to detail and accuracy in data processing;
• Solid knowledge of main traffic types and their tracking;
• Strong communication and teamwork skills.

Will be plus

• Experience with Python (pandas, NumPy) for data analysis;
• Knowledge of ClickHouse or other analytical databases;
• Experience working with APIs and automation of data collection;
• Familiarity with Jira and Confluence for task management and documentation.

Our benefits to you:
- Modern corporate equipment based on macOS or Windows and additional equipment are provided
- Paid vacations, sick leave, personal events days, days off
- Referral program — enjoy cooperation with your colleagues and get the bonus
- Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
- Rewards program for mentoring and coaching colleagues
- Free internal English courses
- In-house Travel Service
- Multiple internal activities
- Other benefits could be added based on your location

RedCore is an international business group that creates technological solutions for digital markets. 

Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

Powering Growth from the Core — this is the key mission laid under RedCore’s strong foundation. This is how we consistently stay ahead: by evolving and creating scalable solutions, while remaining committed to open and transparent communication with our partners.

We’re looking for a sharp and driven Data Analyst to join our team!

Responsibilities:

• A/B test post-analysis (including statistical review and deep dive);
• Researching for insights, opportunities and growth points aligned with department KPIs;
• Micro-segmentation, offer personalization;
• Customer behavior and product usage analytics (including product, website and mobile app data);
• KPI monitoring and alerting, finding 'why?';
• Developing and maintaining BI dashboards;
• Adhoc analytical requests (segmentation, data export, metric snapshots);
• Brainstorming and collaboration with different business streams;
• Automate recurring analysis tasks to reduce manual overhead.

Requirements:

• At least 2 years of experience in product/ data analytics.
• Strong proficiency in SQL (including advanced queries and window functions).
• Hands-on experience with BI tools (e.g., Tableau, Power BI).
• Expertise in A/B testing: setup, monitoring experiments, and result analysis.
• Understanding of relational database architecture (ClickHouse, PostgreSQL, BigQuery, etc.).
• In-depth knowledge of statistics and hypothesis testing methods.
• Skills in hypothesis validation and data-driven analysis.

Will be plus

• Experience with Data Science tools for automating A/B test analysis is a plus.
• Experience in iGaming or B2C related industry (preferably whale-driven).

Our benefits to you:
- Modern corporate equipment based on macOS or Windows and additional equipment are provided
- Paid vacations, sick leave, personal events days, days off
- Referral program — enjoy cooperation with your colleagues and get the bonus
- Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
- Rewards program for mentoring and coaching colleagues
- Free internal English courses
- In-house Travel Service
- Multiple internal activities
- Other benefits could be added based on your location

We are looking for a Business Analyst. Their primary responsibility is to analyse and evaluate various aspects of a business to identify problems, opportunities, and solutions.

✅ Responsibility:

✔️ Manage Product Backlog: Formulating the list of backlog items and prioritising them as per the critical business objectives.

✔️ Provide effective communication to the stakeholders of the project: The BAis the central communicator between the development team and the stakeholders.

✔️ They need to be clear and concise communicators to ensure there is approval of the stakeholders for all major decisions and strategies.

✔️ Create and Maintain Change Requests Associated with the Product: Predominantly an Operational task. The BA will gather and prioritise operational changes and include them within the Product Backlog for future sprint iteration.

✔️ Define Acceptance Criteria for their Product: The BA must know what they want their product features to achieve.Having strongly defined acceptance criteria is vital to ensure

✔️ that the Product performs to the expected standard. A/C's should always be confirmed with Stakeholders and will be used as a baseline for QA to test against.

✔️ Gap Analysis: By comparing the current state of a business to the desired future state, The BA may identify gaps or areas for improvement. This helps in defining project objectives and goals.

✔️ Change Management: The BA will help manage and support the changes brought about by their or BRO recommendations. This can involve developing change management plans, conducting training sessions, and ensuring a smooth transition to new processes or systems.

✔️ Gather Functional and non Functional Requirements: The BA will ensure that all requirements are gathered and that they meet the Product Managers expectations.

✔️ Verify Requirements: Once the requirements, functional and non functional, have been gathered from the Stakeholder the BA will confirm and agree that the requirements are fit for purpose and use.

✅ Requirements:

✔️ 2-3 years of experience BA/Product Manager

✔️ experience with web dev

✔️ Product development architecture

✔️ Scrum and Agile development methodologies

✔️ User experience principles

✔️ Product backlog management

✔️ Coding and designing (nice to have)

Analytical Skills

Ability to analyse various issues and find workable solutions as quickly as possible. Identify, collect and analyse information, use reason to solve complex problems and make decisions based on logical conclusions.

Decision Making

Use technical, analytical and communications skills to make crucial decisions regarding their products success and development. After identifying an issue you must be able to collect and collate all relevant information, find ways of dealing with it, decide on the best option and implement/evaluate the results.

Social Package

📝 Official employment

🏝18 days of vacation

💊 Medical Insurance

🧑🏻‍💻Equipment for work

We are looking for a Senior Data Analyst. 

This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place. Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

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.

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If scoring quality drifts or a provider degrades, you notice it and drive the fix without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If external data shifts or an API changes, you build around it instead of blaming the provider.
• Get It Done: You prioritize shipping answers. You know when to send a rough estimate and when to build a proper framework.
• Openness: You share findings and admit mistakes openly — both wins and failures travel across the team. If you spot a better way to do something, you volunteer it without being asked.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

Akurateco is a cutting-edge white-label payment software provider with 15+ years of hands-on experience in the payment industry. We bring our clients fully-brandable and easily customizable payment software.
Our team is looking for Senior Monitoring Analytics Specialist.

Requirements:

• Experience working with NoSQL databases, specifically OpenSearch (Elasticsearch) is must have.
• Ability to build queries, filters, and aggregations in OpenSearch.
• Understanding of alerting principles and monitoring rule configuration.
• Strong analytical thinking, attention to detail, and a structured approach to working with large datasets.
• Experience with Power BI (building interactive reports and data visualizations).
• Experience with Redash (SQL queries and dashboard creation).
• Knowledge and hands-on experience in Machine Learning (building models for monitoring and antifraud) will be a plus.

Responsibilities:

• Development and maintenance of analytical reports for the monitoring team.
• Creation and optimization of alerts to detect suspicious transactions and incidents.
• Data visualization in dashboards for real-time monitoring.
• Close collaboration with risk management and monitoring teams to уточнити вимоги.
• Analysis of the effectiveness of configured rules and their optimization.

We offer:

• Interesting and extensive project;
• Fair remuneration;
• Flexible working hours and work-life balance;
• 20 vacation days, sick leaves upon request;
• Corporate English language classes.

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