Jobs Data & Analytics

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

CrunchCode — міжнародна сервісна ІТ-компанія з досвідом близько 7 років у розробці вебсервісів і вебзастосунків. Ми працюємо у форматах staff augmentation (outstaff) та outsourcing і підключаємо спеціалістів до проєктів клієнтів у довгостроковій моделі співпраці.

Ми працюємо переважно з проєктами в доменах логістики (включно з last mile),e-commerce, fintech та банкінгу, а також enterprise-рішеннями.
Для нас важливо, щоб проєкт був “чистим” і зрозумілим з точки зору етики та цінності для користувачів.

Ми принципово не беремо проєкти, пов’язані з:
● gamblng / гемблінгом,
● adult-контентом та порнографією,
● шахрайством або будь-якою розробкою, що спрямована на обман чи маніпуляції.

What We Offer:
● Fully remote work
● Long-term, stable project
● High level of autonomy and trust
● Minimal bureaucracy
● Direct impact on business-critical logistics systems
● Long-term engagement, not a short-term contract.

Project Overview
Enterprise-grade data engineering role within a Pan-Baltic banking environment. The engineer will work on large-scale data platforms, building and maintaining production-ready pipelines and modern data lakehouse architectures across the organization.

Tech Stack
Python, Apache Spark, AWS (EMR, Glue, Athena, S3), SQL, Data Lakehouse, ETL/ELT

Requirements (Must-have):
- Strong hands-on enterprise data engineering experience
- Advanced SQL skills and solid understanding of analytical and dimensional data modeling
- Proven experience with Data Lakehouse / modern data platform concepts (cloud object storage, open table formats, distributed processing)
- Strong hands-on experience with AWS data services: EMR, Glue, Athena, S3-based data lakes
- Strong hands-on experience with Apache Spark for large-scale data processing
- Strong Python skills for ETL development, data processing, and automation
- Very strong analytical, problem-solving, and system-level thinking skills
- Fluent English B2+ — required for Pan-Baltic communication (spoken and written)

Responsibilities:
- Design, implement, and maintain robust production data pipelines
- Build and optimize Data Lakehouse and modern data platform solutions
- Work with AWS data services across the full data engineering stack
- Process large-scale data using Apache Spark
- Develop ETL workflows and automation scripts in Python
- Apply advanced SQL and dimensional/analytical data modeling
- Contribute to system-level thinking and data architecture decisions

Nice to Have:
- Experience in banking or financial services
- Familiarity with data governance and compliance practices

Hiring Process:
Intro call
Technical discussion
Offer
Start: ASAP

Project Description

We are a global audience and location intelligence company that helps marketers connect the digital and physical world. We provide data-driven solutions to enhance marketing campaigns by leveraging location and audience data to reveal consumer behavior and enable more precise targeting and measurement. We work on high-end / high-performance / high-throughput systems for in-time analysis of data for autonomous driving and other big data applications e.g. for E-commerce.

Job Responsibilities

Work in a self-organised agile team with a high level of autonomy, and you will actively shape your team's culture.

Design, build, and standardise privacy-first big data architectures, large-scale data pipelines, and advanced analytics solutions in AWS.

Develop complex integrations with third-party partners, transferring terabytes of data.

Align with other Data experts on data (analytics) engineering best practices and standards, and introduce those standards and data engineering expertise to the team in order to enhance existing data pipelines and build new ones.

Successfully partner up with the Product team to constantly develop further and improve our platform features.

Requirements:

You have 4+ years of experience on similar position.

You have significant experience with Python. Familiarity with Java or Scala is a plus.

Hands-on experience building scalable solutions in AWS.

Proficiency in NoSQL and SQL databases and in high-throughput data-related architecture and technologies (e.g. Kafka, Spark, Hadoop, MongoDB, AWS Batch, AWS Glue, Athena, Airflow, dbt).

Excellent SQL and data transformation skills.

Excellent written and verbal communication skills with an ability to simplify complex technical information.

Experience guiding and mentoring junior team members in a collaborative environment.

About ChatRevenue.ai 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid). 

We are building an agentic sales automation for post-CRM era. The AI-native product combines structured and unstructured data, LLM workflows, and agentic automation to help sales people to focus properly, work more efficiently and automate repetitive sales processes. 

The product is already being tested by early customers. We are growing the core engineering team and looking for people who want to work on real product systems with direct impact on architecture, quality, and speed of delivery. 

About the role 

We are looking for a Senior Generative AI Engineer with 5+ years of commercial Python experience and hands-on experience building production GenAI / RAG systems. 

This is a hands-on engineering role focused on: 

• Python backend  
• LLMs and RAG  
• AI Copilot / assistant workflows  

We are looking for someone who can take a problem, propose a practical solution, and move it to production. 

What you will do 

• Design, build, deploy, and maintain production GenAI / RAG pipelines  
• Integrate LLMs and agentic assistants into product workflows  
• Improve latency, reliability, scalability, and cost-efficiency of AI systems  
• Evaluate and implement new GenAI, multi-agent, and orchestration frameworks  
• Contribute to architecture and technical decisions across the platform  

What we are looking for 

• 5+ years of commercial Python experience 
• Strong backend experience with FastAPI, APIs, webhooks, Docker, Kubernetes, Git, and CI/CD 
• Commercial experience with LLMs in production 
• Strong hands-on experience with RAG, retrieval workflows, embeddings, and vector search 
• Experience with LangChain, LangGraph, LangSmith, or similar frameworks 
• Good knowledge of SQL, Pandas, ETL, data cleaning, and ingestion pipelines 
• English: B2 or higher 
• High ownership, independence, and product mindset 

Nice to have 

• Multi-agent LLM systems 
• Knowledge graphs, graph databases, or graph-based retrieval 
• Kafka, Azure Event Hub, or other event-driven systems 
• Azure cloud infrastructure 
• Production ML / NLP systems 
• Evaluation, tracing, observability, and optimization of AI pipelines 
• Graph algorithms or tools like NetworkX 

What we offer 

• Remote-first setup 
• Flexible schedule aligned with European time zones 
• A core engineering role in an AI-native product 
• Direct influence on technical decisions and architecture 
• Real ownership and visible product impact 

If you have strong Python backend fundamentals and real production GenAI / RAG experience, we’d love to talk. 

About the project

US-founded media company operating email newsletters at scale – millions of subscribers across finance, health, and business verticals. Small engineering team, flat structure, direct ownership, fast iteration. No layers of approval, no large org to navigate.

You'll own the integration and infrastructure layer alongside a counterpart engineer who handles the AI and automation side. The AI systems depend on what you build staying reliable.
 

What you'll work on

• Custom CRMs and operational tools tailored to internal workflows
• Browser automation pipelines with Playwright for interacting with and validating UI workflows
• Distributed automation infrastructure: proxy management, session handling, request routing
• PostgreSQL data models and pipelines that AI systems and operational teams depend on
• Integrations with third-party APIs and platforms – including ones with inconsistent or undocumented APIs
   

Requirements

• 6+ years of backend development
• 4+ years of production Python
• Strong PostgreSQL: schema design, indexing, query optimization – not just ORM usage
• Hands-on Playwright or equivalent (Selenium, Puppeteer) for real browser automation
• Experience with proxy infrastructure: rotation, health checking, geographic routing
   

Tech stack

Python · FastAPI · PostgreSQL · Playwright · Docker · proxy infrastructure · REST APIs and webhooks · third-party platform integrations
 

Conditions

• B2B contract, full-time
• Warsaw office (onsite preferred, remote considered)
• Direct collaboration with technical PM and small senior team
• Fast-moving environment: ambiguity, shifting priorities, growing scope

WHO WE ARE:

RBI Retail Innovation is a product development company, a part of the group of Raiffeisen Bank International (Vienna, Austria). We are a stable company that works in the EU market. Now we have products in Poland. Our ambition will be widespread in EU countries in the next few years. Our projects include next-gen digital banking platforms’ design, delivery, and post-delivery activities. Our team is international but mainly consists of Ukrainian developers. We have offices in Kyiv and Rivne. Our mission is to provide seamless banking with ease and speed that’s built for people. Our values are People First, Product Passion, and Trust.

ABOUT YOU:

• 5+ years of experience business/system analysis;
• Comprehensive working experience in banking domain (accounting, onboarding, payments. Deep knowledge of SEPA payment processing is required.);
• Knowledge of data modeling and data flow modeling, data mapping;
• Experience in creating of BRD, ERD and technical assignments for large projects;
• Knowledge of basic principles of SQL & relational databases;
• Basic understanding of REST API principles and how to read/validate API specifications;
• Basic understanding of distributed messaging systems and patterns (event driven architecture, message queues);
• Extensive knowledge of business analysis activities and techniques (UML, BPMN);
• Practical experience with requirements management and collaboration tools (Jira & Confluence mandatory);
• Excellent communication and stakeholder management skills; ability to run workshops and present to senior stakeholders;
• Strong decision making skills; experience in backlog prioritization and release planning;

WILL BE A PLUS:

• Experience in working with UX-tools (preferable Figma)
• Experience of using CRM systems (Siebel, SalesForce, MS Dynamics etc.)
• Knowledge of product discovery techniques
• Understanding of payment security (SCA, fraud prevention) and operational processing constraints
• Familiarity with ISO 20022, SWIFT standards, PSD2 and other payments/regulatory frameworks

RESPONSIBILITIES:

• Analyze business requirements and business needs
• Pre-project survey and initial collection of requirements
• Create entity-relationship diagram and business processes architecture
• Interaction with development teams at the stages of implementation, testing, implementation

WHAT WE OFFER:

• You will be a part of global team of RBI Group — one of the leading banking groups in Central and Eastern Europe
• An opportunity to work with some of the most talented and experienced people in the Fintech industry
• The ability to drive change and innovation in the products we develop
• Official employment, gig-contract
• Remote-first work model
• Competitive salary
• Personal and professional growth, corporate English courses
• Paid sick days-off and 20 working days of vacation per year
• Medical insurance

We’re looking for a Machine Learning Engineer who thrives at the intersection of production-grade ML systems and scalable cloud infrastructure.

About the Project

This project focuses on building and optimizing machine learning systems that power real-world production applications, with a strong emphasis on recommender systems and deep learning models. As part of a broader initiative, the team is developing scalable ML pipelines and infrastructure that can be reused across multiple products and domains.

In this role, you will work closely with the product and engineering teams to design, deploy, and improve ML models and pipelines, ensuring they are reliable, efficient, and deliver measurable business impact.

Your Responsibilities:

• Designing, building, and optimizing machine learning models for production use, with a focus on recommender systems.
• Develop and maintain scalable ML pipelines, including data processing, training, evaluation, and deployment.
• Work with large datasets to extract insights and improve model performance.
• Collaborate with cross-functional teams to integrate ML solutions into production systems.
• Continuously improve model performance through experimentation, tuning, and monitoring.
• Ensure reliability and scalability of ML systems in cloud environments.

Qualifications:

• 5+ years of hands-on experience in machine learning engineering
• Strong proficiency in Python and core ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, XGBoost, etc.)
• Solid experience with deep learning, including model architecture, training, and optimization
• Proven experience designing and deploying recommender systems
• Hands-on experience with AWS SageMaker and the broader AWS ML ecosystem
• Practical experience building and maintaining data pipelines and ML workflows
• Experience working with production ML systems and MLOps practices

Why join us?

• ️Our people matter, work-life balance is important at VARTEQ
• Fast-learning environment, entrepreneurial mindset, and strong team spirit
• Competitive salary package

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.

We are looking for a Technical Compliance Analyst to join our teams!

Requirements:
- 4+ years in a Technical Compliance Analyst, Compliance Analyst, Systems Analyst, Technical Business Analyst, Solutions Analyst, or similar role supporting complex platforms or distributed systems.
- Proven ability to analyse regulations, policies, or control requirements and convert them into buildable specifications, including user stories, acceptance criteria, workflows, functional requirements, and supporting documentation.
- Experience working on complex transactional systems and cross-system processes.
- Strong experience working cross-functionally with Product, Engineering, Security, Infrastructure, and Compliance-related stakeholders.
- Comfortable creating clear documentation and visual artefacts for both technical and non-technical audiences.
- Experience supporting external audits, certification programs, testing bodies, or regulated market launches.
- Strong analytical thinking, attention to detail, organisational skills, and the ability to manage multiple workstreams.

Will be plus:
- Experience in iGaming, sports betting, payments, banking, fintech, marketplaces, healthcare, or other regulated platforms.
- Familiarity with iGaming technical and regulatory standards across multiple jurisdictions.
- Exposure to payments and fintech controls, such as funds flows, reconciliation, chargebacks, regulated reporting, and integration controls.
- Familiarity with control frameworks and standards such as GLI-19, PCI DSS, ISO 27001, GDPR, DORA, EMI, PSD2, or equivalent.
- Experience working with regulatory reporting, system integrations, and requirements gathering across multiple stakeholders.
- Familiarity with policy-as-code (OPA or similar).
- Experience with ledger concepts, immutable logs, event-driven systems, or event sourcing.

Responsibilities:
1) Regulatory-to-system translation
- Analyse regulatory, licensing, certification, and internal control requirements and convert them into structured, actionable system requirements.
- Produce implementation-ready artifacts such as epics, user stories, acceptance criteria, workflows, process maps, and functional specifications.
- Maintain end-to-end traceability: clause → requirement → control → enforcement point → evidence artifact → test scenario.
- Define scope boundaries and document scoping decisions, assumptions, dependencies, and compliance rationale.
- Support new market and license-entry activities by preparing technical and product documentation in alignment with other teams.

2) Implementation guidance
- Specify required control behaviours for key platform systems, services, and operational workflows.
- Work closely with architects, engineers, and product managers to shape backlog items and ensure compliance requirements are balanced with user experience, technical constraints, and delivery timelines.
- Collaborate with architects and technical teams to produce diagrams and models such as process maps, sequence flows, context diagrams, and C4-style views where needed.
- Define evidence-by-design requirements, including what logs, reports, configurations, exports, approvals, and audit trails must exist to demonstrate compliance.
- Ensure requirements documentation remains current, accurate, and audit-ready, including changes, decisions, and rationale.

3) Certification and audit readiness
- Define compliance test scenarios, expected outcomes, and supporting datasets for certification, regulatory review, and audit readiness.
- Support internal and external audits by preparing walkthrough scripts, evidence pack indexes, requirement mappings, and response-ready artifacts.
- Partner with Security and Infrastructure teams on control expectations relating to monitoring signals, incident workflows, access evidence, change records, and DR/BCP evidence.
- Support interactions with testing laboratories, certification bodies, and regulators where technical clarification or supporting documentation is required

4) Integration and change requirements
- Specify compliance and control requirements for external integrations such as KYC, PSP, RGS, AML, fraud, and reporting providers.
- Define integration expectations covering logging, traceability, evidence intake, SLAs, change notifications, and operational dependencies.
- Help standardise reusable integration control requirements and “control contracts” for regulated vendors and critical third parties.
- Support scope management and change control by documenting the impacts of requirement changes on compliance obligations, certification scope, and delivery plans.

5) Cross-functional collaboration
- Build strong working relationships across Product, Engineering, Infrastructure, Security, Legal.
- Act as a trusted partner to product and technical teams on how regulatory requirements apply to specific features, workflows, and jurisdictions.
- Communicate requirements, risks, trade-offs, and priorities clearly to both technical and non-technical stakeholders.
- Help identify compliance gaps and support remediation planning for new features, market launches, and platform changes.

Our benefits to you:

☘️An exciting and challenging job in a fast-growing business group, 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

🧑🏻‍💻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: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location

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

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

Job Description

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

Qualifications

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

Nice-to-Have Skills

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

About the Project: 

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

Responsibilities:

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

Requirements

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

Nice to have

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

Details:

—  Part-time engagement

—  Fast-paced, product-focused startup environment

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

Experience in fraud detection (highly preferred) + ability to independently scope and lead ML project end-to-end

Requirements

Position name: Senior Data Scientist — Anti-Fraud System

Level: Senior / Middle+

Hard skills requirements (including years):

• Strong experience in Data Science / Machine Learning
• Experience in fraud detection systems — highly preferred
• Ability to transition rule-based systems to ML/predictive models
• Experience with near real-time data processing
• Strong knowledge of statistical modeling and ML algorithms
• Python (preferred stack, final decision left to the DS)
• SQL and database proficiency
• Ability to independently scope a data environment and define technical approach

Soft skills requirements:

• Ability to independently lead a project end-to-end
• Strong communication skills (stakeholder alignment required)
• Self-driven, proactive, consultative mindset

Office/Remote: Remote

Project tasks:

• Scope existing rule-based fraud detection system (16 static flag types) and define technical approach
• Propose and implement ML stack and architecture
• Evolve system into dynamic, predictive, learning-based fraud detection model
• Work toward near real-time fraud processing as the project scales
• Work as part of 2-person AI team with full ownership of the anti-fraud project
• Facilitate stakeholder alignment

English level: Upper-Intermediate

We build and operate AI-enabled systems that create measurable operational impact across the organization. Our primary output is working software in production.

Anchors the data platform architecture and owns enterprise data extraction end-to-end.

Ideal Candidate

Has designed and built a data platform from scratch in an enterprise environment — not inherited a running system, built one. Has pulled data from SAP or comparable ERP into a warehouse and survived upstream failures without silent data loss. Sets standards that other engineers can follow without three clarification meetings. Can make architecture calls quickly and correct them later. Has strong opinions about pipeline observability and data quality.

Skills Required

• SAP data extraction: OData services, RFC/BAPI, SAP Data Services, or CDS views — hands-on experience pulling data from SAP FI/CO modules
• Python — async data pipelines, background jobs, scheduled tasks
• PostgreSQL — schema design, migrations (Alembic), query optimization, partitioning
• Azure Data Lake Storage + Synapse Analytics
• Microsoft Graph API — SharePoint, M365, organizational data
• Apache Airflow or Azure Data Factory
• dbt or equivalent for transformation and quality testing
• Redis — queue management, TTL, cache invalidation
• Observability — structured logging, Azure Monitor or Prometheus/Grafana
• Docker — containerized pipeline jobs
• Infrastructure-as-code (Terraform or equivalent)

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

Location: remotely

Team: Senior Data Analyst, BI Analyst.

Interaction with: Head of Analytics.

Requirements:

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

Required education/Training background:

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

Will be an advantage:

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

List of technologies:

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

Responsibilities:

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

Key Deliverables:

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

What we could offer:

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

Stages:

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

What You’ll Do
 

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

What We Expect

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

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

What We Offer

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

Skills Required

• SAP data extraction: OData services, RFC/BAPI, SAP Data Services, or CDS views — hands-on experience pulling data from SAP FI/CO modules
• Python — async data pipelines, background jobs, scheduled tasks
• PostgreSQL — schema design, migrations (Alembic), query optimization, partitioning
• Azure Data Lake Storage + Synapse Analytics
• Microsoft Graph API — SharePoint, M365, organizational data
• Apache Airflow or Azure Data Factory
• dbt or equivalent for transformation and quality testing
• Redis — queue management, TTL, cache invalidation
• Observability — structured logging, Azure Monitor or Prometheus/Grafana
• Docker — containerized pipeline jobs
• Infrastructure-as-code (Terraform or equivalent)
  
  Has designed and built a data platform from scratch in an enterprise environment — not inherited a running system, built one. Has pulled data from SAP or comparable ERP into a warehouse and survived upstream failures without silent data loss. Sets standards that other engineers can follow without three clarification meetings. Can make architecture calls quickly and correct them later. Has strong opinions about pipeline observability and data quality.