Jobs Data & Analytics

Responsibilities

• Create and maintain reporting and analytical dashboards that provide key business insights
• Search for insights and patterns through data analysis
• Based on the analysis results, make conclusions for the business
• Build interactive dashboards

Requirements

• 4+ years of experience as a Data Analyst
• 4+ years of hands-on experience with SQL
• Experience with data visualization tools (Tableau, Power BI, Looker or similar)
• Strong logical and critical thinking skills
• Attention to detail and structured approach to work
• English Intermediate and higher
• Proactive mindset and genuine interest in your work

Will be a plus

• Experience with Python for data analysis and scripting
• Experience with R for statistical analysis
• Familiarity with n8n or similar workflow automation tools

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays according to current legislation
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

About the Client

Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions.

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

About the Role

We are seeking an experienced Business Analyst / Business Systems Analyst to support reporting and analytics initiatives within a global pharmaceutical organization.

The successful candidate will act as a bridge between business stakeholders and technical teams, helping transform business challenges into actionable reporting and analytics solutions. The role requires strong analytical thinking, experience gathering and documenting requirements, and a solid understanding of modern reporting platforms and data-driven decision-making.

The specialist will work closely with business users, Power BI developers, and data engineers to define requirements, design reporting solutions, validate concepts, and ensure delivered solutions address real business needs.
 

Key Responsibilities

• Collaborate closely with cross-functional teams, including business stakeholders, Power BI developers, and data engineers, to understand business objectives and identify opportunities for reporting, analytics, and process improvement.
• Conduct thorough requirements analysis for reporting and analytics initiatives, including gathering, documenting, and validating business and functional requirements to support solution design and development.
• Create and maintain comprehensive documentation, including user stories, functional specifications, business requirements, process flows, reporting requirements, and acceptance criteria.
• Define and document KPIs, metrics, business rules, data requirements, and reporting logic to ensure solutions effectively address business needs.
• Collaborate with Power BI and Foundry engineering teams to design and deliver reporting and analytics solutions that align with business objectives.
• Support solution validation and user acceptance testing (UAT), ensuring delivered reports, dashboards, and analytical solutions meet business requirements and provide meaningful insights to end users.
• Contribute to the continuous improvement of reporting, analytics, and decision-support capabilities across the organization.

Required Qualifications

• 4+ years of experience as a Business Analyst or Business Systems Analyst
• Experience working on reporting, analytics, BI, or data-focused projects
• Good understanding of Power BI capabilities and experience defining requirements for Power BI reporting and dashboard solutions.
• Strong requirements gathering and documentation skills
• Experience creating user stories, process flows, functional specifications, and acceptance criteria
• Strong analytical and problem-solving skills
• Ability to communicate effectively with both business and technical stakeholders
• Experience working in international and cross-functional environments

Nice to have

• Experience working with enterprise data platforms such as Palantir Foundry.
• Hands-on experience with Power BI report development, dashboard creation, or self-service analytics.

We offer*:

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

*not applicable for freelancers

Welcome to Drawer.AI!
We invite you to join our mission to shake up the AEC (Architecture, Engineering, and Construction) industry by transforming estimation processes. Harnessing the power of AI, we are revolutionising construction with Generative Design and Reinforcement Learning.

About us:
Our US-based startup raised investments from leading industry ventures and is ready for the next Series A Round in 2025. And this is just the beginning.

What it’s like to work with Drawer.AI:
Everyone’s voice counts here. Our tech team is open, flexible, and all about getting the job done to make solutions work. We’re not just writing code. We are changing how construction happens with advanced AI.
Explore opportunities to join our team and be at the forefront of innovation.
It’s time to build better!

Role Overview:

At Drawer.AI, we're not just another IT company – we're on a mission to revolutionize the way the world sees Construction Industry with Generative Design and Reinforcement Learning.

We are looking for a skilled UAT Tester to join our stellar team. As a UAT Tester, you will validate AI functionality, analyze system performance, and test document processing workflows. Your key tasks include working with PDF documents, creating bug reports, and ensuring a seamless user experience.

Key Responsibilities:

- Test AI-powered features and validate system performance.

- Work with PDF documents and verify AI processing accuracy.

- Identify and report bugs using Jira.

- Collaborate with developers and product teams to improve functionality.

Requirements:

- Experience with Bluebeam.

- Basic knowledge of Microsoft Excel, Microsoft Word, and Jira.

- Familiarity with HubSpot.

- Basic understanding of electrical systems.

- Strong attention to detail and analytical thinking.

Join our stellar team at Drawer.AI, where excellence meets opportunity! Experience the exceptional; enjoy a competitive salary and career advancement and the outstanding work environment we take pride in. Elevate your professional journey with us – because we believe in creating success together. Build a better future with us!

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 Senior 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.

TBC is building next-generation AI systems at the intersection of biological computing, generative models, and large-scale AI infrastructure. As we scale our world-model and neural-optimizer efforts, we are looking for an optimization-focused Research Scientist / ML Engineer to improve the efficiency, latency, throughput, and deployability of large models.

This role is focused on making frontier models run faster, cheaper, and more reliably — especially LLMs, diffusion models, video generation models, and world-model systems. You will work across inference optimization, training efficiency, model compression, memory management, and GPU-level performance to help turn research systems into scalable, customer-ready products.
WORK WITH USA 

What You’ll Work On

• Optimize inference for LLMs, diffusion models, video models, and world-model systems
• Improve serving efficiency through techniques such as KV caching, batching, quantization, distillation, speculative decoding, and memory optimization
• Build and optimize high-throughput inference pipelines for large models running on GPU clusters
• Profile model performance across latency, throughput, memory usage, GPU utilization, and cost
• Implement custom kernels or low-level optimizations using Triton, CUDA, PyTorch, or related systems
• Improve training and fine-tuning efficiency for large generative models, including distributed training, checkpointing, parallelism, and data loading
• Work with research teams to identify bottlenecks in model architecture, inference paths, and deployment workflows
• Translate model performance improvements into clear customer-facing benchmarks and technical proof points
• Evaluate trade-offs across model quality, latency, cost, memory, and deployability

What We’re Looking For

• Strong background in machine learning systems, model optimization, or high-performance AI infrastructure
• Hands-on experience optimizing LLMs, diffusion models, video generation models, or other large generative systems
• Experience with one or more of:
  • Inference optimization
  • KV caching / attention optimization
  • Triton or CUDA kernel development
  • Quantization, pruning, distillation, or model compression
  • Distributed training / fine-tuning efficiency
  • GPU profiling and performance debugging
• Strong PyTorch experience and comfort working close to the model/runtime boundary
• Ability to reason about trade-offs between quality, latency, throughput, memory, and cost
• Comfortable working across research code, production systems, and benchmarking infrastructure
• Excited to work in an ambiguous, early-stage environment where optimization work directly shapes product feasibility

What Success Looks Like

• Large models run faster, cheaper, and more reliably across TBC’s core workloads
• Inference pipelines show measurable improvements in latency, throughput, memory use, and GPU utilization
• Training and fine-tuning workflows become more efficient, reproducible, and scalable
• Optimization work translates into clear product and customer value, not just internal benchmarks
• Research prototypes become deployable systems that can support demos, evaluations, and early partner use cases

Preferred Qualifications

• PhD, MS, or equivalent industry experience in Computer Science, Machine Learning, Systems, Robotics, or related field
• Prior work optimizing large-scale generative models in production or research settings
• Experience with modern inference/training stacks such as PyTorch, Triton, CUDA, vLLM, TensorRT, DeepSpeed, FSDP, Ray, or similar tooling
• Experience working with LLMs, diffusion models, video generation models, or world models

Fozzy Group is one of the largest trade industrial groups in Ukraine and one of the leading Ukrainian retailers, with over 700 outlets all around the country. It is also engaged in e-commerce, food processing & production, agricultural business, parcel delivery, logistics, and banking.   
 

Job Description: 

Fozzy Group is building a next-generation Customer Value Management (CVM) Decision Support System that  lives inside our app's gamified experience layer. Instead of traditional CRM triggers alone, engagement and retention are driven through game mechanics – achievement chains, progress bars, and personalized quests – and we need someone who can turn those mechanics into measurable, data-driven strategy. The project focuses on two major streams: 

• Engagement Growth: Driving gamification adoption, modeling guest lifecycle, and applying proactive strategies to increase purchase frequency and deepen engagement. 

• Retention & Loyalty Management: Early churn detection, loyalty preservation, and predictive modeling of customer attrition to implement timely and personalized interventions that reduce churn risk. 

You'll work closely with product, game-mechanic designers, CVM, and the wider Data Science team, and your models will directly shape decisions about quest design, reward economics, and lifecycle communication. 

Job Responsibilities 

• Model customer lifecycle stages inside the gamified platform – from first touch through onboarding to habitual engagement – and identifying where drop-off happens

• Design and A/B test game mechanics meant to convert guests into active app users (first-order quests, achievement chains, milestone rewards) 

• Automate customer targeting and personalized offer selection across CVM campaigns 

• Build next-best-quest / next-best-action logic to personalize each customer's path through the game 

• Design predictive triggers for retention interventions and measure whether they're actually incremental or just rewarding people who'd have stayed anyway 

• Build and maintain SQL pipelines to aggregate, clean, and transform customer and transactional data from multiple sources 

• Extensively utilize SQL and dbt to design, develop, and optimize data models within our high-volume data platform, effectively managing and processing multi-billion-row datasets 

• Develop data preparation pipelines and contribute to deploying ML models for churn prediction, segmentation, and uplift modeling. 
 

Requirements 

• Bachelor’s Degree in Mathematics / Quantitative Economics / Econometrics / Statistics / Computer Sciences / Finance 

• At least 2 years of working experience on Data Analytics 

• Strong mathematical background in Linear algebra, Probability, Statistics & Optimization Techniques 

• Solid SQL and Python 

• Experience with BI tools (Power BI, Tableau, Looker) 

• Knowledge of statistical methods (Hypothesis testing, A/B tests, PCA) 

• Ability to work independently and structure complex problems into clear solutions. 
 

Preferred 

• Experience with Airflow, Docker, or Kubernetes for Data Orchestration 

• Spark/Trino and Lakehouse experience is a plus 

• Applied knowledge of Machine Learning (e.g., Decision Trees, Random Forest, and Boosting). 
 

What We Offer 

• Competitive salary; 

• Professional & personal development opportunities; 

• Being part of dynamic team of young & ambitious professionals; 

• Corporate discounts for sport clubs and language courses; 

• Medical insurance package.

Location: Remote
Employment Type: Full-time / Long-term
Domain: Logistics
About the Project
We are looking for a Senior AWS Data Engineer to design and build a centralized data platform from scratch for a logistics product running on AWS.
The platform uses a microservices architecture with Amazon RDS MySQL (~136 GB production database). Currently, BI dashboards are spread across multiple subsystems. The goal is to centralize data and enable management to make informed decisions based on crew compliance, certifications, and operational performance.

Responsibilities
Design and build a scalable AWS data platform and data lake from scratch.
Develop ETL/ELT pipelines from MySQL (Amazon RDS).
Design data models optimized for analytics and reporting.
Integrate BI tools such as AWS QuickSight, Metabase, or Apache Superset.
Ensure data quality, security, and strict customer data segregation.
Collaborate with engineering and business teams to deliver reliable reporting solutions.

Requirements
5+ years of experience as a Data Engineer.
Strong hands-on experience with AWS.
Experience building data lakes using Amazon S3.
Experience with AWS Glue and Amazon Athena.
Strong SQL and MySQL skills.
Experience designing ETL/ELT pipelines.
Knowledge of data warehousing and data modeling principles.
Experience working with cloud-based microservices architectures.
Upper-Intermediate English (B2+) or higher.

Nice to Have
Experience with AWS QuickSight, Metabase, or Apache Superset.
Python for data engineering.
Experience in Logistics or Supply Chain projects.

🚀 We’re on the hunt for a talented AI/ML Engineer to design, implement, and optimize cutting-edge AI/ML solutions. If you thrive on solving complex problems and creating production-ready models, we’d love to hear from you!

🎯 What You’ll Do:

• Develop and fine-tune AI/ML models for performance and scalability.
• Enhance production models, debug issues, and ensure reliability.
• Work with cross-functional teams to shape future AI/ML innovations.
• Explore emerging AI/ML technologies and recommend tools/frameworks.
• Build robust pipelines using Python, SQL, Docker, and more.

🧩 What We’re Looking For:

• Strong experience in AI/ML, data science, or data engineering.
• Expertise in Python, TensorFlow, Keras, Scikit-learn, and Generative AI.
• Familiarity with Docker, Streamlit, and data tools like Pandas and SQL.
• Strong communication skills and the ability to work independently.
• English: Upper-intermediate or higher.

🎯 We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays

• A normal, supportive team without unnecessary bureaucracy

   

Ready to shape the future of AI/ML with us? 🚀 Apply now and be part of something extraordinary!

🚀We are looking for an experienced Data Scientist for a full-time job to join our team.


🎯 Requirements:
-2+ years of experience as a data scientist
-BSc in Mathematics, Statistics, Computer Science, Economics, or another related field.
-Experience in using Python & SQL
-Experience with Airflow and GCP
-Experience with Git & CI/CD
-Upper Intermediate English — written and spoken
-Ability to design creative solutions for complex requirements
-Ability to learn and lead projects independently, and to work with minimal supervision with customers (tech & business)

🧩 Responsibilities:
-Conduct independent research, including defining research problems, creating research plans, designing experiments, developing algorithms, implementing code, and performing comprehensive comparisons against existing benchmarks;
-Clearly communicate your research findings to both technical and non-technical audiences
-Work on various data sources and apply sophisticated feature engineering capabilities
-Bring and use business knowledge
-Build and manage technical relationships with customers and partners.

🎯 We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

About the Role

Our client is a global fintech company and one of the world's leading platforms for financial analytics and investment insights. They are looking for a Senior Data Analyst to help drive product decisions through data and uncover actionable insights from user behavior across web and mobile platforms.

Responsibilities

• Analyze user behavior and product performance using raw data.
• Define, track, and optimize key product KPIs.
• Build dashboards and perform deep-dive analyses to support business decisions.
• Design, monitor, and evaluate A/B tests.
• Analyze and improve key metrics, including Conversion, Retention, Churn, Engagement, and Revenue.
• Partner with Product, Engineering, and Business teams to deliver data-driven recommendations.

Requirements

• 5+ years of experience as a Data Analyst in a B2C product environment.
• Advanced SQL skills with experience writing complex analytical queries.
• Hands-on experience with BI tools such as Looker, Tableau, or Power BI.
• Strong understanding of product analytics, web/mobile user behavior, and A/B testing.
• Excellent analytical and problem-solving skills.
• Upper-Intermediate (B2+) or higher level of English.

About the Role:

We are looking for an experienced AI Transformation Lead to drive the adoption of Generative AI across our global organization. This is a strategic, cross-functional role focused on helping business and technology teams integrate AI into their daily workflows, improve productivity, and establish AI best practices.

This is not a Machine Learning or AI Engineering role. Instead, you will be responsible for identifying opportunities where AI can create business value, introducing modern AI tools and workflows, enabling teams through training and best practices, and embedding AI into everyday operations.

Key Responsibilities:

• Drive company-wide AI adoption initiatives across business and technology teams.
• Identify opportunities to improve business processes through AI-powered solutions.
• Evaluate, recommend, and implement modern AI tools and workflows.
• Develop AI best practices, prompting standards, governance, and usage guidelines.
• Deliver AI training sessions, workshops, and enablement programs.
• Partner with Functional Architects, Software Engineers, QA, DevOps, Project Managers, and Customer Support teams to maximize AI adoption.
• Continuously monitor emerging AI technologies and recommend innovative solutions.

• Measure AI adoption, business impact, and continuously optimize AI-enabled processes.

   

How You Will Make an Impact:

You will help different teams leverage AI to improve efficiency and quality, including:

Functional Architecture

• User Stories
• Functional Specifications
• Business Documentation
• User Manuals

Software Engineering

• AI-assisted code generation
• Code reviews
• Refactoring
• Documentation
• Architectural guidance

Quality Assurance

• Test case generation
• Regression test suites
• Test data generation
• Test automation improvements

DevOps

• Infrastructure scripting
• Deployment automation
• Monitoring and troubleshooting
• Operational runbooks

Project Management

• Meeting summaries
• Project planning
• Status reporting
• Action tracking

Customer Support

• Knowledge base creation
• Troubleshooting guides

• Customer communications

   

What We’re Looking For:

• Proven experience leading AI adoption, digital transformation, or process improvement initiatives.
• Strong understanding of Generative AI technologies and their practical business applications.
• Hands-on experience with AI productivity tools such as ChatGPT, Microsoft Copilot, GitHub Copilot, Claude, Gemini, Cursor, Perplexity, or similar platforms.
• Ability to identify automation opportunities and translate AI capabilities into practical business solutions.
• Experience designing AI-enabled workflows across multiple business functions.
• Excellent communication, facilitation, and stakeholder management skills.
• Strong understanding of Software Development Life Cycle (SDLC), Agile methodologies, and modern software engineering practices.

• Experience collaborating with cross-functional teams in technology-driven environments.

   

Nice to Have:

• Background in Software Engineering, Solution Architecture, Engineering Management, Technical Consulting, or Digital Transformation.
• Experience implementing enterprise AI initiatives.
• Experience developing AI governance frameworks and responsible AI practices.

• Familiarity with Microsoft 365, Atlassian, Google Workspace, or similar enterprise collaboration platforms.

   

If you are passionate about helping organizations transform the way they work through AI, we would love to hear from you.

We're Gypsy Collective. The digital world is evolving faster than ever. New opportunities, new challenges, new ambitious goals. That’s why strong businesses need strong people. 

Gypsy Collective is an exclusive talent partner for selected brands. We help our partners attract exceptional talent by building long-term relationships and becoming deeply integrated into their business, culture, and growth ambitions.

We are looking for a Middle DWH Engineer to design, build, and maintain scalable data warehouse solutions that support analytics and business decision-making. You will work across the full data lifecycle - from data ingestion and transformation to orchestration and optimization - while collaborating with analysts, engineers, and business stakeholders.

📅  Your adventures include:

• design, develop, and maintain DWH and Data Lake solutions aligned with business requirements;
• build, optimize, and support ETL/ELT pipelines using Python, SQL, Airflow, and related technologies;
• integrate and maintain data flows from APIs, databases, SaaS platforms, and third-party systems;
• work with PostgreSQL, Trino, and cloud-based analytical platforms to support reporting and analytics needs;
• implement and support incremental loading, CDC processes, backfills, and reprocessing workflows;
• monitor, troubleshoot, and improve data pipelines to ensure reliability, stability, and timely delivery of data;
• implement data quality checks, validation rules, and automated monitoring processes;
• optimize SQL queries, data models, and pipeline performance;
• collaborate with analysts, BI developers, engineers, and business stakeholders to deliver scalable data solutions;
• participate in code reviews and contribute to engineering standards and best practices.

🧭 What makes you a great match:

• strong SQL skills, including complex queries, CTEs, window functions, analytical queries, and query optimization (3+ years);
• strong experience integrating external data sources, including REST APIs, databases, SaaS platforms, and third-party systems; ability to design, develop, troubleshoot, and maintain reliable data ingestion processes in production environments (3+ years);
• experience with Apache Airflow or similar workflow orchestration tools (3+ years);
• experience with Python for data processing, integrations, and automation (2+ years);
• good understanding of DWH concepts, including ETL/ELT, dimensional modeling, Data Vault, and Star/Snowflake schemas (3+ years);
• experience building and supporting production data pipelines with a focus on reliability, stability, monitoring, and error handling;
• understanding of data quality principles, including validation, testing, reconciliation, and monitoring;
• hands-on experience with PostgreSQL and Trino in production environments;
• experience with modern analytical databases or cloud data warehouses (such as BigQuery, Snowflake, Redshift, ClickHouse, Vertica, Athena, or similar platforms.);
• experience with Git and collaborative development workflows (pull requests, code reviews, rebasing, merge conflict resolution).

⭐ Nice to Have

• experience with Change Data Capture (CDC) tools and incremental loading strategies;
• experience with cloud platforms such as AWS, GCP, or Azure;
• familiarity with Docker and containerized environments;
• experience with streaming or near real-time data pipelines (Kafka);
• familiarity with dbt or similar data transformation frameworks;
• experience with data cataloging, lineage, or governance tools.
   

Benefits

• 💸 Flexible payment options: choose the method that works best for you.
• 🧾 Tax assistance included: we handle part of your taxes and provide guidance on the local setup.
• 🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more - just to show we care.
• 📈 Learn & grow: We cover courses and certifications — and offer real opportunities to grow your career with us.
• 🥐 Benefit Сafeteria: Choose what suits you — sports, language courses, therapy sessions, and more.
• 🎉 Stay connected: From team-building events to industry conferences — we bring people together online, offline, and on stage.
• 💻 Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow.
• 🕘 Your schedule, your rules: Start your day at 9, 10, or even 11 — we care about results, not clock-ins.

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 Senior Business Analyst to join our team!

Requirements:

- 4+ years as a Business Analyst, preferably in the iGaming or payments industry.
- Experience working with Atlassian stack tools (Jira, Confluence).
- Ability to present information clearly, logically, and consistently.
- Analytical Thinking: Strong analytical and problem-solving skills, with a proven track record of delivering actionable insights and solutions.
- Understanding documentation standards.
- Proficiency in requirement gathering (in the form of user stories, use cases, and other relevant formats), process mapping(UML, BPMN), and documentation(including requirements specifications, user manuals, and maintenance guides).

Will be plus:

- Experience with payment method integrations and understanding of the payment process.
- Understanding REST API, JSON

Responsibilities:

- Analysis of the gathered requirements and expectations and creation of requirements specifications (in the form of a user story).
- Supporting needs in requirements management during the whole project life cycle.
- Interaction with key stakeholders to gather and analyze business requirements, consulting them on opportunities and risks.
- Providing information and consulting about products’ features, relations and interactions to any stakeholder on demand.
- Monitoring and analysis of projects implementation, delivery and operation with feedback for improvements.
- Review and approve the user stories in collaboration with project managers and key technical specialists.
- Presentation of the user stories to the team, their clarification of incomprehensible and controversial points, and their updating and change as a result of discussion with the team.
- Ownership and detailed understanding of the features and functions of products and applications from the area of ​​responsibility. This knowledge usage to identify opportunities and threats for new requirements.
- Development and maintenance of documentation in accordance with standards and requirements.

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 Growth Data Analyst to join our team!

Requirements:

• 4+ 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).

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.

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

Building products used by millions of people requires more than collecting requirements — it takes the ability to connect business goals, user needs, and technical solutions into a clear product vision. In this role, you’ll work closely with product managers, developers, designers, and stakeholders across the business, helping transform ideas into scalable product solutions. You'll play a key role in shaping product functionality, optimizing workflows, and ensuring that teams stay aligned throughout the entire development lifecycle.

In this role, you will

• Gather, analyze, and document business, product, and user requirements for new features and product improvements
• Collaborate with stakeholders to understand business objectives, identify opportunities, and align product initiatives with strategic goals
• Define and refine business processes, user journeys, workflows, user stories, and acceptance criteria
• Work closely with development teams throughout the delivery lifecycle to ensure requirements are clearly understood and implemented
• Coordinate feature delivery activities, support release planning, and facilitate communication between cross-functional teams
• Maintain product documentation, ensuring requirements, specifications, and business rules remain accurate and up to date
• Provide regular updates, insights, and recommendations regarding product progress, risks, and opportunities
• Support system integrations and participate in solution design discussions to ensure business needs are effectively addressed

It’s all about you

• 2+ years of experience as a Business Analyst or Product Owner within software development environments
• Strong understanding of business analysis practices, business process modeling, requirement management, and Agile methodologies
• Proven experience gathering, documenting, and managing functional and non-functional requirements
• Strong experience writing user stories, use cases, acceptance criteria, and product documentation
• Understanding of product metrics, A/B testing, and data-driven decision making
• Experience coordinating feature delivery, including cross-team communication, release planning participation, and requirement clarification
• Strong practical experience using AI tools to improve business analysis activities, requirement management, documentation, and productivity
• Proficiency with Jira, Confluence, or similar collaboration and project management tools
• Excellent communication and stakeholder management skills with the ability to work effectively with both technical and non-technical audiences
• Strong analytical thinking, attention to detail, and problem-solving skills
• Ability to manage multiple priorities and work effectively in a fast-paced product environment
• Proactive mindset with a strong sense of ownership and accountability

Would be a plus

• Practical experience working with third-party integrations, APIs, and external 
• Previous experience in QA, Technical Support, or Software Development roles
• Experience working with high-load consumer products, subscription-based services, social platforms, or digital products with large user bases

What we offer

Care and support: 

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Maternity Recovery Support Allowance
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine

Comfortable working environment:

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

Investment in your future:

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

Hiring process

• Intro call
• Technical interview
• Final  interview
• Reference check
• Offer