Jobs Data Analyst

ICONIC21 is expanding its Risk & Fraud team and is looking for a Junior Risk & Fraud Analyst.

We develop innovative solutions for the Live Casino industry and are looking for a motivated specialist who wants to grow in the fields of analytics, antifraud, and user behavior analysis.

In this role, you will participate in fraud investigations, analyze game mechanics and player activity, detect suspicious behavior patterns, and contribute to the improvement of existing antifraud solutions and monitoring systems.

Requirements
 

• Higher education in mathematics, statistics, computer science, or another technical field.
• Strong Microsoft Excel skills.
• Intermediate level of English.
• Analytical mindset and attention to detail.
• Ability to work with large volumes of data.
• Basic programming skills (Python/R would be a plus).
• Basic SQL knowledge.

Responsibilities
• Analyze game mechanics and user behavior. 
• Detect suspicious and anomalous patterns. 
• Participate in the automation of monitoring and analytical processes. 
• Perform statistical checks and data analysis. 
• Prepare reports and visualizations for internal teams. 

Nice to have
 

• Experience in the iGaming industry.
• Knowledge of fraud detection methodologies and risk analysis principles.
• Understanding of RTP, GGR, player behavior analysis, or anomaly detection.
• Interest in cybersecurity, integrity, and antifraud systems.
• Experience in data analysis or fraud detection would be an advantage

Working conditions
- Full-time, office-based position in Kyiv
- Night shifts only (schedule provided upon request)
- Includes weekends and public holidays on a rotating basis

• 21 working days of paid vacation per year.
• 21 working days of paid vacation per year.
• 15 paid sick days per year.
• Flexible working hours.
• Opportunity to grow in the Risk & Fraud field within an international iGaming company.
• Work in a team that values initiative, analytical thinking, and new ideas.
• Supportive and dynamic international environment.

We're looking for a marketing analyst who will be the first specialist in this field on our analytics team — and who, as a result, will be able to not only carry out tasks but also directly influence how marketing analytics is structured within the company.

We value honest and transparent communication at every stage — from the first call to the job offer. Below is everything you need to know about the role to help you determine if this is the right opportunity for you. If you still have questions after reading this, feel free to reach out — we're open to dialogue.

This role is a good fit for you if:

• 3+ years of experience in marketing analytics, product-marketing analytics, or performance analytics
• Strong SQL skills — comfortable with large datasets, complex queries, and production environments
• Solid grounding in statistics: experimental design, significance, confidence intervals, and small-sample analysis
• Confident with Python for automation, data cleaning, API integrations, and recurring reporting
• Hands-on experience designing and running A/B tests
• Practical experience with marketing and tracking tools — familiarity with roughly two-thirds of the following is enough: Singular, Google Ads, Google API, Meta Ads, Google Analytics (GA4), GTM, affiliate platforms, and postbacks

• Experience building attribution logic, funnel reporting, cohort analysis, CAC/ROI/ROMI reporting, and LTV/CAC analysis

   

A plus:

• Tableau skills
• iGaming/iGambling background
• Track record leading or mentoring a team
  
  What You'll Be Doing:
• Full-cycle marketing data management: collection, transformation, cleansing, quality control, dashboard creation, and documentation
• Collecting and organizing marketing spend across all channels with precise calculations of CAC, ROI, and ROMI broken down by campaign, source, partner, keyword, landing page, source ID, and creative
• Building marketing funnels and reports based on data from landing pages and ad platforms (Facebook Ads Manager, etc.)
• Supporting A/B tests and experiments on landing pages: setting up tracking, measuring results, analyzing effectiveness, and providing recommendations on scaling, pausing, or refining
• Assisting the team in launching and evaluating marketing tests for campaigns, creatives, landing pages, sources, keywords, and traffic segments
• Developing and maintaining remarketing integrations (GA + GTM, DV360, API)
• Developing and maintaining benchmark models for the marketing team

• Working closely with the Marketing, Product, Analytics, Affiliate, and Risk teams to ensure the reliability, availability, and usefulness of data for day-to-day decision-making

   

What We Offer:

• 24 days of vacation + days off
• Remote-first — work from anywhere in the world
• Support for your learning and professional development through external courses and educational activities (conferences, webinars, etc.)
• Benefits cafeteria: a flexible budget you can spend on sports activities, English language courses, and more
• No test assignment — we assess your experience through a live conversation
• Probationary period: 3 months, with clear and straightforward expectations from day one
   

Hiring Process:

Transparent and streamlined selection process: screening call (~40 min) → technical interview (50 min) → job offer

We are looking for Business Analyst to develop and support Big Data solutions used across multiple business units. In this role, you will focus on structuring business needs, defining data logic and ensuring solutions are clearly specified for implementation. The position combines analytical work, data solution design and cross-team collaboration in a large-scale telecom environment.

Responsibilities
•    Collect, analyze and formalize business requirements from internal teams
•    Translate business needs into structured documentation, data logic and functional specifications
•    Design analytical solutions such as triggers, batch processes, dashboards and data funnels
•    Define data mappings, transformation rules and end-to-end processing flows
•    Build, aggregate and validate datasets from multiple internal and external sources
•    Support development teams by clarifying requirements, logic and acceptance criteria
•    Maintain structured product documentation, PRDs and user stories
•    Participate in solution discussions to ensure feasibility, clarity and consistency of implementation
•    Provide visibility on analysis progress and document agreed decisions and assumptions
•    Contribute to improving analysis practices, documentation quality and internal knowledge sharing

Requirements
•    2+ years of experience in Business Analysis, Data Analysis, Data Engineering or a similar role
•    Strong analytical thinking and ability to structure complex business requests
•    Proven experience writing clear functional and technical documentation
•    Solid SQL skills and experience working with large datasets and ETL processes
•    Experience working with Big Data platforms such as Apache Hadoop, Amazon Web Services, Microsoft Azure or similar environments
•    Familiarity with streaming or pipeline tools such as Apache Kafka is an advantage
•    Understanding of data structures, processing logic and system integration principles
•    Experience working with multiple teams in complex corporate environments
•    Telecom domain knowledge is a plus

We offer
•    Work on large-scale data solutions with real operational usage
•    Remote-friendly work format with flexible hours
•    Competitive salary and annual performance bonus
•    Paid vacation and sick leave
•    Medical and life insurance
•    Professional development and career growth opportunities
•    Supportive, expert-level team environment

Join the Fintech Core team building a white-label modular platform that powers digital banks, payment systems, and fintech products across Europe, North America, and MENA regions
 

As a System/Business Analyst on the Fintech Core project, you will define technical architecture, system specifications, and integration designs for a white-label modular fintech platform that enables rapid creation of digital banking and payment products.
 

The platform provides a complete technology stack including general ledger, middleware, mobile/web applications, and extensive third-party integrations for KYC, payments, card issuance, and compliance. You'll work closely with Business Analysts, Solution Architects, and Engineering teams to translate business requirements into detailed technical specifications, design robust system architectures, and ensure seamless integration across microservices while maintaining regulatory compliance and enterprise-grade security.

This role offers hands-on experience designing financial systems at scale, with exposure to payment processing, card networks, digital wallets, cross-border transactions, and regulatory compliance frameworks serving multiple fintech implementations globally.

Responsibilities

• Analyze and document system requirements for platform modules including payments, card issuance, digital wallets, accounts, ledger management, and compliance systems
• Translate business requirements into detailed technical specifications, API contracts, database schemas, and integration architectures
• Design data models, entity relationships, and data flow diagrams for transactional and financial systems with appropriate normalization and performance considerations
• Define integration patterns and technical specifications for connecting with payment processors, KYC/AML providers, card issuers, and open banking platforms
• Document system behaviors using sequence diagrams, component diagrams, deployment architectures, and API specifications (OpenAPI/Swagger)
• Collaborate with Solution Architects to ensure system designs align with microservices architecture patterns, scalability requirements, and technical best practices
• Define non-functional requirements including performance benchmarks, security controls, data retention policies, and audit trail specifications
• Facilitate technical design workshops with Engineering teams to review system specifications, validate implementation approaches, and identify technical risks
• Create comprehensive system documentation in Confluence covering technical flows, component interactions, message formats, and infrastructure requirements
• Support QA teams by defining system integration test scenarios, technical acceptance criteria, and end-to-end testing strategies
• Analyze system performance bottlenecks and propose optimization solutions for high-throughput financial transaction processing
• Ensure all technical specifications maintain regulatory compliance requirements (PCI DSS, GDPR, PSD2) and financial data security standards
• Maintain traceability between business requirements, system specifications, technical implementations, and test cases
• Participate in sprint planning, technical refinement sessions, and architecture review boards to ensure alignment between product vision and technical execution

Professional skills are required:
 

• 3+ years of experience as System Analyst, Technical Analyst, or similar role in fintech or banking domains
• Strong understanding of financial systems architecture including general ledgers, payment processing, and account management
• Experience with microservices architecture, API design, and distributed systems
• Proficiency in creating technical documentation: system design documents, data flow diagrams, sequence diagrams, ER diagrams
• Knowledge of database design and data modeling for transactional systems
• Understanding of integration patterns, message queues, and event-driven architectures
• Familiarity with payment systems standards (ISO 20022, SWIFT, SEPA, card schemes)
• Experience with API specifications (REST, OpenAPI/Swagger, webhooks)
• Understanding of cloud infrastructure and deployment architectures (AWS, Azure, GCP)
• Knowledge of authentication and authorization mechanisms (OAuth, JWT, API keys)

Technical Skills

• 3+ years of experience as System Analyst, Technical Analyst, or similar role in fintech or banking domains
• Strong understanding of financial systems architecture including general ledgers, payment processing, and account management
• Experience with microservices architecture, API design, and distributed systems
• Proficiency in creating technical documentation: system design documents, data flow diagrams, sequence diagrams, ER diagrams
• Knowledge of database design and data modeling for transactional systems
• Understanding of integration patterns, message queues, and event-driven architectures
• Familiarity with payment systems standards (ISO 20022, SWIFT, SEPA, card schemes)
• Experience with API specifications (REST, OpenAPI/Swagger, webhooks)
• Understanding of cloud infrastructure and deployment architectures (AWS, Azure, GCP)

• Knowledge of authentication and authorization mechanisms (OAuth, JWT, API keys)

   

Domain Knowledge

• Understanding of core banking concepts: accounts, transactions, balances, ledgers, reconciliation
• Knowledge of payment flows: domestic/international transfers, card payments, digital wallets
• Familiarity with KYC/AML processes and regulatory compliance requirements
• Understanding of financial data security standards (PCI DSS, GDPR)
• Experience with fintech product features: onboarding, card issuing, FX, acquiring

Analytical & Documentation Skills

• Excellent analytical thinking and problem-solving abilities
• Strong technical writing skills with attention to detail
• Ability to translate complex business requirements into technical specifications
• Experience with UML, BPMN, or similar modeling notations
• Proficiency with documentation tools (Confluence, Notion, or similar)
• Experience with requirements management and traceability

Skills will be a plus:

• Experience with white-label or multi-tenant system architectures
• Knowledge of blockchain and cryptocurrency integrations
• Familiarity with regulatory frameworks (PSD2, Open Banking, MiFID)
• Experience with performance testing and system optimization
• Understanding of DevOps practices and CI/CD pipelines
• Previous experience with modular platform architecture
• Knowledge of financial compliance and audit requirements
• Experience with data migration and system integration projects
  
  We offer
• 20 billable days off during the first year of cooperation, 25 billable days off from the second year
• Fair and competitive compensation
• Friendly team and enjoyable working environment
• Clearly established business processes
• Regular company updates and Q&A sessions with top management
• Flexible working schedule
• Remote work
• Ability to transfer unused vacation to the next year

Areon Consulting is looking for an experienced Oracle Data Integration / BI Developer to join our team on a long-term basis.

You will work with Oracle technologies focused on data integration, ETL/ELT, data warehousing and analytics, supporting enterprise-level solutions and large data environments.

Responsibilities

• Develop and maintain data integration processes using Oracle Data Integrator (ODI)
• Design and implement ETL/ELT workflows for enterprise data platforms
• Develop and maintain data mappings, interfaces, packages and scenarios in ODI
• Work with Oracle Database, including SQL, PL/SQL and complex data transformations
• Support and develop reporting and analytics solutions using Oracle Analytics Server (OAS)
• Develop and maintain analytical reports, dashboards and data models
• Investigate and resolve data integration and reporting issues
• Optimize ETL processes and SQL queries for performance
• Work with large volumes of data and complex data structures
• Participate in data warehouse and BI solution development
• Collaborate with business analysts, developers and other technical specialists
• Support existing enterprise solutions and implement new functionality

Requirements

• 3+ years of commercial experience with Oracle technologies
• Strong experience with Oracle Data Integrator (ODI)
• Good knowledge of SQL and PL/SQL
• Experience with ETL/ELT development and data integration
• Strong understanding of relational databases and data modeling
• Experience with Oracle Analytics Server (OAS) or Oracle BI technologies
• Experience working with complex data flows and large datasets
• Good troubleshooting and analytical skills
• Ability to understand and maintain existing enterprise solutions
• English — Intermediate+

Would be a plus

• Experience with Oracle Data Warehouse / DWH
• Knowledge of Oracle Exadata
• Experience with Oracle Business Intelligence (OBIEE / OAS)
• Experience with ODI 12c
• Knowledge of data warehouse concepts and dimensional modeling
• Experience with enterprise integrations and multiple data sources
• Experience with Oracle Cloud technologies
• Java or scripting knowledge

What we offer

• Long-term cooperation with a stable international company
• Opportunity to work on enterprise-level Oracle projects
• Remote work
• Competitive compensation based on experience
• Professional development and challenging technical tasks
• International team and projects

If you have strong experience with Oracle ODI, OAS and Oracle Database and are interested in a long-term opportunity, we would be happy to hear from you.

We are looking for a Data Analyst to join a discovery and risk assessment engagement, reconciling and validating large-scale vulnerability data for a UK enterprise client.

Project: A ten-week discovery and technical assessment engagement, with this role's workload likely front-loaded into the first two weeks to validate the corrected Qualys baseline and reconcile the asset inventory.

Responsibilities:

• Consume a corrected Qualys baseline and rebuild the analysis view for scoping
• Validate corrected data extracts
• Reconcile the asset inventory and resolve discrepancies for assets missing from the latest inventory (decommissioned vs. lost scan visibility)
• Produce a tooling and agent coverage assessment across the estate
• Support root-cause analysis for assets that have stopped receiving updates, some since 2023
• Size the non-patchable population
•  

Requirements:

• 4+ years of experience in large-scale operational or security dataset analysis
• Experience reconciling data across multiple non-agreeing sources of truth
• Advanced spreadsheet skills plus scripted analysis experience (Python, SQL, or equivalent)
• Familiarity with Qualys data structures; exposure to Ivanti, Ninja, or comparable patch management tooling is a plus
• Disciplined approach to documenting data quality limitations

• Upper-Intermediate English or higher

   

What We Offer:

• Transparent strategy and thoughtful management that keep everyone aligned
• Space for personal growth and career development without limits
• A culture of continuous learning: internal courses, workshops, and English classes twice a week
• Skill up events where we share experience and stay on top of trends
• Competitive perks: flexible schedule, a strong compensation package, support for professional certifications, and generous vacation policy
• Team spirit that thrives through regular events, gatherings, and celebrations

We are looking for a Data Analyst to join a discovery and risk assessment engagement, reconciling and validating large-scale vulnerability data for a UK enterprise client.

Project: A ten-week discovery and technical assessment engagement, with this role's workload likely front-loaded into the first two weeks to validate the corrected Qualys baseline and reconcile the asset inventory.

Responsibilities:

• Consume a corrected Qualys baseline and rebuild the analysis view for scoping
• Validate corrected data extracts
• Reconcile the asset inventory and resolve discrepancies for assets missing from the latest inventory (decommissioned vs. lost scan visibility)
• Produce a tooling and agent coverage assessment across the estate
• Support root-cause analysis for assets that have stopped receiving updates, some since 2023
• Size the non-patchable population
•  

Requirements:

• 4+ years of experience in large-scale operational or security dataset analysis
• Experience reconciling data across multiple non-agreeing sources of truth
• Advanced spreadsheet skills plus scripted analysis experience (Python, SQL, or equivalent)
• Familiarity with Qualys data structures; exposure to Ivanti, Ninja, or comparable patch management tooling is a plus
• Disciplined approach to documenting data quality limitations

• Upper-Intermediate English or higher

   

What We Offer:

• Transparent strategy and thoughtful management that keep everyone aligned
• Space for personal growth and career development without limits
• A culture of continuous learning: internal courses, workshops, and English classes twice a week
• Skill up events where we share experience and stay on top of trends
• Competitive perks: flexible schedule, a strong compensation package, support for professional certifications, and generous vacation policy
• Team spirit that thrives through regular events, gatherings, and celebrations

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 Product Analyst to join our team!

Requirements:

• 4+ years of experience in product or data analytics;
• Strong experience with data visualization tools (preferably Tableau) — ability to design clear, insightful, and visually appealing dashboards;
• Excellent knowledge of SQL — writing complex queries, optimizing performance, and working with large datasets;
• Understanding of ETL processes and data modeling principles;
• Curiosity and proactive attitude — you love digging into data, finding patterns, and suggesting improvements.

Will be plus

• Experience in iGaming industry.

Responsibilities:

• Build and maintain Tableau dashboards for key product and business metrics (user engagement, retention, conversion, revenue, etc.);
• Write and optimize SQL queries to extract, transform, and structure data from multiple sources;
• Conduct deep-dive product analyses to uncover trends, user behaviors, and growth opportunities;
• Continuously improve data quality, performance of dashboards, and analytical infrastructure.

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;
• In-house Travel Service;
• Multiple internal activities;
• Other benefits could be added based on your location.

Our client US based IT product company is looking for Data Analyst (Middle)

Required Skills

- MongoDB  — aggregation pipelines (`$match`, `$group`, `$lookup`, `$unwind`), write complex queries independently

- Dashboards — build end-to-end in Grafana, Metabase, Superset, or Power BI

- REST API / Postman — read Swagger specs, call endpoints, analyze responses

- Docker Compose — spin up a local stack (`docker compose up`, `.env`)

- Basic understanding of AI systems — what LLMs, RAG, and agents are; ability to analyze their behavior from data (response quality, latency, token consumption, anomalies)

 Nice to Have

- PostgreSQL (CTEs, window functions)

- Python / Pandas

- LLM analytics tools — Langfuse, Arize Phoenix (token usage, latency, quality metrics)

- Cybersecurity / DLP / SIEM background

- RAGAS or other LLM evaluation frameworks

Soft Skills (mandatory)

Self-sufficient, accountable, resilient under pressure. Tasks often come without detailed specs — the candidate is expected to navigate ambiguity independently and deliver results.

As we continue to grow and evolve, we are expanding our team to support new initiatives and meet the increasing demand for our services. We’re currently looking for a talented and data-driven Web Analyst who can help us make smarter decisions and take our digital performance to the next level.

What We’re Looking For:

• strong hands-on experience with Google Tag Manager (GTM) and Google Analytics
• proven ability to set up, monitor, and interpret A/B tests using third-party platforms
• experience with app analytics tools like Firebase and Appsflyer
• working knowledge of BigQuery (BQ) and comfort working with large data sets
• a proactive attitude and a knack for solving problems before they impact performance

What You’ll Be Doing:

• setting up and maintaining web analytics tools, including Google Tag Manager and Google Analytics;
• planning, executing, and analyzing A/B and multivariate tests using third-party tools;
• supporting existing scripts and analytics setups, troubleshooting issues, and identifying bugs;
• creating custom dashboards and reports using BigQuery and other tools to help stakeholders make informed decisions;
• working with mobile application analytics platforms such as Firebase and Appsflyer.

What We Offer:

• paid vacations and sick leave;
• remote work — flexibility to work from wherever you’re most productive;
• challenging projects — opportunity to work on exciting and high-impact initiatives;
• employee discounts — enjoy special offers and discounts on our floral and gift products.

Who We Are:

An international iGaming company specializing in identifying and fostering the growth of high-potential entertainment markets. With 1000+ professionals in 20+ locations, we operate in 10 countries, serving over 300,000 customers.

In this role you will be responsible for: 

Data Loss Prevention (DLP) Management:

• Manage Data Leakage Prevention tool and processes end-to-end.
• Designing, implementing, and supporting new DLP rules.
• Focus on reducing false positives from DLP tools to improve accuracy.
• Monitor the DLP dismissal process and handle custom requests.
• Conduct thorough DLP testing and validation.

Security Control & Risk Management:

• Design, implement, and support robust data security controls.
• Manage data security projects from inception to deployment.
• Performing security assessments (data security perspective) on systems and applications.
• Analyze requests and approving data transfer or critical access based on security policies.
• Create detailed security hardenings guides and provide system configuration requireme

Data Analysis & Reporting:

• Investigate security alerts, logs, and data from SIEM and DLP systems.
• Perform in-depth analysis of large security datasets.
• Develop and maintain key security metrics, perform audits and report for management.

Security Incident Analysis & Response:

• Conducting analysis for data security incidents and providing support for L3 SOC activities.
• Responding to urgent incidents outside working hours as part of an on-call rotation.
• Contribute to incident response by providing rapid data analysis and forensics support.

We are seeking a highly skilled and experienced Business Analyst.
 

Payment systems, Crypto, Software development, in particular:

•  Expertise in gathering, analyzing, and documenting business requirements (incl.functional, non-functional);
• Experience in Agile methodology, writing user stories in Jira, building processes/ required flows and diagramming (UML, BPMN etc);
• Experience in preparing functional and detailed system design documents;
• Ability to communicate effectively across multiple levels of the organization, including with leadership;
• Demonstrated leadership, initiative, analytical skills, and sound business acumen, including the ability to understand and analyze recommendations;
• Experience with all phases of testing (i.e., system, integration, user acceptance), including creating use cases, test conditions, and review of output; 
• Must be able to adjust and work effectively in a dynamic, changing environment;
• Provide weekly/daily status updates on services and work completed.

We are looking for talented folks who:

• Want to know why things work the way they do;
• Excel at explaining things with the right amount of detail;
• Are capable communicators with the spoken and written word;
•  Know how to collaborate within a team environment;
•  Are dedicated learners with the ability to use software;
• Are clarifying business ideas and standardizing the software development

process. 

Working conditions:

•  Work schedule from 10:00 to 19:00;
•  Remote work;
• We provide all the necessary tools for your successful and comfortable work;
•  Training at the expense of the company (courses, seminars, new and interesting projects);
• Learning English at the expense of the company;
•  Compensation for coworking place;
•  Ability to switch between projects and try yourself in different roles.
   

Phoenix Games is an innovative technology company building next-generation iGaming and Web3 products for a global audience. By combining AI, blockchain, cloud technologies, and advanced analytics, we create engaging digital experiences powered by data.

We're looking for a Data Analyst who is passionate about transforming data into actionable insights and helping shape product strategy through analytics.

What You'll Do

• Analyze product, marketing, and business data to identify trends, opportunities, and risks.
• Build and maintain dashboards, reports, and KPIs using modern BI tools.
• Monitor player behavior, retention, engagement, and monetization metrics.
• Perform ad hoc analysis to support product and business decisions.
• Design and analyze A/B tests and feature experiments.
• Work closely with Product Managers, Marketing, Finance, and Engineering teams.
• Validate data quality and investigate anomalies.
• Automate recurring reports and improve reporting processes.
• Present insights and recommendations to stakeholders in a clear and actionable way.

Tech Stack

• SQL
• Python (Pandas, NumPy)
• Power BI / Tableau / Looker
• PostgreSQL
• BigQuery / Snowflake (nice to have)
• Google Analytics 4
• Amplitude / Mixpanel
• Excel / Google Sheets
• Git (nice to have)

Requirements

• 2+ years of experience as a Data Analyst, Product Analyst, or Business Analyst.
• Strong SQL skills and experience working with relational databases.
• Experience with BI and data visualization tools.
• Understanding of statistics and A/B testing methodologies.
• Strong analytical thinking and attention to detail.
• Ability to communicate complex findings in a simple and business-friendly way.
• Experience working with large datasets.
• Upper-Intermediate English or higher.

Nice to Have

• Experience in Gaming, FinTech, SaaS, or E-commerce.
• Experience with product analytics platforms (Amplitude, Mixpanel, GA4).
• Python for data analysis and automation.
• Knowledge of predictive analytics.
• Familiarity with blockchain or Web3 products.

What We Offer

• Fully remote work from anywhere in Europe.
• Long-term B2B cooperation.
• Competitive salary paid in EUR or USD.
• Annual salary reviews.
• Performance-based bonus program.
• Annual company bonus.
• 25 paid vacation days.
• Paid sick leave.
• Flexible working hours.
• Home office budget.
• Laptop or equipment allowance.
• Learning & development budget for courses, certifications, conferences, and books.
• English language lessons.
• Private health insurance.
• Mental health support program.
• Sports and wellness compensation.
• Team-building activities and international company retreats.
• Opportunity to work with AI, Web3, blockchain, and cutting-edge analytics solutions.
• Career growth within a fast-growing international product company.

Why Join Phoenix Games?

At Phoenix Games, data is at the heart of every product decision. You'll have the opportunity to work with modern technologies, influence business strategy, and help build products used by a global audience while collaborating with an international team of talented professionals.

We’re searching for a Data Operations Analyst to join our high-performing team responsible for upholding world-class data quality across our product and analytics environments. Our success—and our ability to innovate—hinges on having clean, reliable data readily available to the entire organization. When data is accurate and trustworthy, we can confidently make decisions, develop cutting-edge AI solutions, and offer unparalleled insights to our customers.

In this role, you will be a data analyst and detective owning the operational heartbeat of our data processes, overseeing recurring processes to uncover potential improvements, collaborating with Engineering and Data Science on solutions, and continuously refining workflows for efficiency and scale. You have a keen eye for detail and are willing to go deep root-causing when the data doesn’t align with expectations. You’ll follow standard operating procedures (SOPs), service-level agreements (SLAs), and other best practices that elevate the team’s performance and ensure seamless cross-functional collaboration.

If you want to help define the next generation of data-powered products in a massive industry, this is the perfect opportunity for you. Expect autonomy in your work, support from a team that values continuous learning, and the chance to directly shape our solutions and strategy.

Project is a leading New York-based data and AI software specializing in the $2.3 trillion dollar building materials industry. Our platform, powered by advanced Machine Learning and Artificial Intelligence, provides manufacturers with a data-driven approach to better service customers and grow their relationships with key accounts. By simplifying massive datasets into actionable business insight, we help businesses make data-driven decisions to optimize pricing, inventory, and product assortment.

Our values
- We value execution: momentum is everything
- Belief in the power of positivity: we are encouraging and take risks
- Proactive ownership: we are passionate about driving financial value with a creative data product
- Foster collaboration: we welcome help and always extend a helping hand, internally and externally

Requirements

- Education: Bachelor's degree in a technical field (e.g., Industrial Engineering, Information Systems) or equivalent practical experience in a data-heavy environment.
- Experience: 1–3 years of experience as a QA Analyst, Data Analyst, or similar role.
- Technical Proficiency: Strong proficiency in SQL and familiarity with data warehousing solutions (e.g., Snowflake, Google BigQuery, ClickHouse).
- Coding: Experience cleaning and normalizing key data sources using SQL and Python.
- Visualization: Experience building and using data visualization tools (e.g. Hex, Preset, Tableau) is a plus.
- Math & Stats: An understanding of statistical measurements of accuracy (e.g., correlation, variance).
- Automation: Experience identifying and executing operational improvements through automation.

Who You Are (Attributes)
- An Owner: You maintain an attitude of ownership of your work and adopt strong organizational skills.
- A Self-Starter: You adopt a self-starter mentality and inspire other team members to do the same.
- A Collaborator: You possess effective communication and collaboration skills, with the ability to work well in a team environment.
- A Clear Communicator: You are adept at clear, concise written and verbal communication, comfortable interacting with both technical and non-technical audiences.
- Resilient: You have the ability to prioritize tasks and manage time effectively in a fast-paced environment.

Responsibilities

- Be the Data Detective: Perform root cause analysis using SQL and Python to uncover nuances and issues with the data, ensuring nothing slips through the cracks.
- Drive Quality Assurance: Conduct QA procedures and regular backtesting processes to pinpoint opportunities for enhancing data accuracy and consistency.
- Engineer Automated Solutions: Identify process improvements through automation and work hand-in-hand with Engineering teams to build automated solutions.
- Optimize Data Pipelines: Clean and normalize key data sources and collaborate with Engineering to refine systems, ensuring data flows smoothly from source to destination.
- Visualize Health: Build data visualizations that support you and your teammates’ day-to-day QA workflows.
Communicate & Align: Communicate updates and progress to Product, Analytics, and other stakeholders, ensuring alignment on priorities and timelines.

Work conditions

- Opportunities to work on diverse and challenging projects.
- A supportive and collaborative team environment.
- 12 vacation days per year.
- 5 sick days per year.
- English classes.
- Access to therapist and psychologist support for mental well-being.

We are looking for a Marketing Analyst (Web Acquisition). Our Analytics team is looking for someone to take ownership of how conversion signal gets delivered, measured, and trusted across our paid web traffic. You will own the full chain from server-side postbacks and click-ID capture to UTM taxonomy and affiliate reconciliation, catch measurement gaps before they hit spend, and turn conversion and funnel data into dashboards and recommendations that our marketing and User Acquisition teams act on daily. It's a hands-on role for someone who treats SQL, BI, and Python as everyday tools, is comfortable testing hypotheses alongside performance marketers, and wants their analysis to directly shape how we scale acquisition across millions of users in Tier-1 and international markets.

About the company: United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale - fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide.

In this role, you will

• Own conversion signal delivery end to end: S2S postbacks per channel, event mapping, deduplication across event sources, and match-quality diagnostics
• Own identity and match quality: hashed first-party data used for matching, click-ID capture and persistence from landing page to CRM to payment
• Own what we optimize toward: value-based bidding, conversion value modelling, event taxonomy and attribution windows
• Work across channel specifics: Google Ads conversion diagnostics, Enhanced Conversions, offline conversion import, gclid/gbraid/wbraid and Consent Mode; Meta Conversions API, EMQ and deduplication; TikTok/Snapchat Events API and ttclid/sccid; AppLovin AXON Conversion API; Mintegral tracking URLs, UTM capture and S2S postbacks; affiliate postback integrations, click and sub-ID passing, conversion validation
• Build monitoring and alerts for signal errors, latency, coverage, match rates and platform-vs-internal discrepancies
• Investigate signal-related performance drops and assess the measurement impact of site releases and ad-platform changes before they hit spend
• Own UTM taxonomy and campaign naming conventions across all channels, with automated validation
• Own affiliate measurement: deduplication between partner postbacks and paid channels, attribution windows and overlap rules, conversion validation and payout accuracy, partner-level quality and fraud controls
• Analyze campaign and partner performance and traffic quality by channel, campaign, creative, geo and placement, including landing-page and checkout funnel conversion, lead quality, repeat purchase, LTV and payback
• Find growth points in CAC, ROAS and payback and turn them into recommendations the UA and affiliate teams can act on
• Test optimization hypotheses with UA: bidding strategy, which conversion to optimize for, conversion value definitions, audience and creative structures
• Build automated Tableau dashboards and ad-hoc reports on conversion values, bidding performance, signal delivery, partner payouts and funnel metrics
• Build and maintain custom marketing datasets in BigQuery on top of network, GA4, affiliate and CRM data

It's all about you

• 3+ years of experience in marketing or product analytics, with hands-on ownership of paid acquisition data
• Confident SQL in BigQuery
• Solid understanding of statistics: funnel conversion, sample size, telling a real difference from noise
• Python (Pandas) for analysis and automation: data validation, conversion uploads, recurring pipelines
• Hands-on Tableau, from data model to dashboards the team uses daily
• Practical experience with server-side conversion delivery on at least one platform: Meta CAPI, Google offline / Enhanced Conversions, TikTok or Snapchat Events API, or affiliate postback integrations
• Understanding of web attribution and performance marketing: click IDs and UTM, attribution windows, why platform, GA4 and internal numbers disagree and which to trust for which decision
• Understanding of consent, first-party identity and cookie limitations, and what they do to measured conversions
• Experience collaborating with User Acquisition teams and supporting data-driven decisions
• Strong analytical thinking and attention to detail
• Ability to identify root causes of changes, not just describe the numbers
• Ability to build and defend clear business conclusions and recommendations
• Proactive mindset and strong communication skills

Would be a plus

• Experience with A/B testing
• Experience using AI tools such as Claude in your analytical work
• Experience with affiliate / performance-partner measurement: S2S postbacks, sub-ID structures, conversion validation
   

What we offer

Care and support:

• 20 paid vacation days, 15 sick leave days, and 6 additional days off for family events
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Maternity Recovery Support Allowance
• 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
• Access to premium AI tools and technologies
• Corporate library, book club, and knowledge-sharing events

Hiring process

• Intro call
• Technical Interview
• Bar-raising
• Reference check
• Offer