Jobs Data Analyst

We’re Applyft — an IT product company which creates value-driven mobile and web apps. Our journey began with the Geozilla family locator product, but now our portfolio consists of 8 apps in Family Safety, Parental Control and AI.

In 2025, we launched a new direction — Finestro, an AI-powered educational app that helps people master AI, improve their financial well-being, and unlock new growth opportunities.

Now we are looking for a Middle/Senior Marketing Data Analyst to support analytics across user acquisition and marketing performance.

About you:

• Strong SQL skills (BigQuery or similar).
• Solid understanding of marketing metrics: CAC, LTV, ROI/ROMI, payback.
• Experience working with large-scale datasets (transaction-level, event-level).
• Strong analytical thinking and ability to translate data into business insights.
• Experience with BI tools (Tableau/Looker Studio).

• Ability to work with attribution data and marketing sources (Meta, Google Ads, etc.).

   

What you’ll do:

• Analyze marketing performance across different channels (Meta, Google, etc.).
• Work with core datasets (spend, revenue, LTV, attribution).
• Transform marketing data into clear, actionable decisions for scaling.
• Analyze traffic quality, channel performance, and unit economics.
• Identify growth opportunities and initiate data-driven improvements.

• Work with LTV forecasts, payback periods, and scaling scenarios.

   

Nice to have:

• Experience with subscription-based products.
• Experience with payment data (Stripe, PayPal, refunds, chargebacks).
• Python skills.
• Familiarity with ML models and data science.
• Experience with Amplitude, AppsFlyer.
   

We Offer:

• Remote-First culture: We provide a flexible working schedule and you can work anywhere in the world
• Health taking care program: We provide Health insurance, mental health support (psychologist compensation), sport compensation, and 20 paid sick days.
• Personal Equipment Policy: We provide all necessary equipment for your work. For Ukrainian employees we also provide Ecoflow
• Vacation Policy: Each employee in our company has 20 paid vacation days and extra days on the occasion of special evens
• Knowledge sharing: We are glad to share our knowledge and experience in our internal events
• English Lessons: We provide corporate English lessons to support your professional and personal growth.
• Professional Development: Annual learning budget for courses, training, certifications, and conferences.
• Public Holidays: You receive days off according to the official public holidays of your country of residence.
• Coworking Compensation (Ukraine): We provide coworking space compensation for employees located in Ukraine.

Hiring process:
Recruitment Screen 👉Tech interview 👉 Test Task 👉 Final Interview 👉 Job Offer
 

Turn your expertise into real impact — be part of our team!

🎯 About the Role

We are looking for an experienced Data Analyst to help clients transform complex data into clear insights and actionable business recommendations.

You will work with modern cloud data platforms, primarily Snowflake, analyze large datasets, build dashboards, and collaborate with technical and business stakeholders.

🔑 Responsibilities

- Analyze large datasets using SQL and identify meaningful trends, patterns, and business opportunities.

- Translate business questions into analytical requirements, reports, and measurable metrics.

- Write and optimize complex SQL queries in Snowflake.

- Perform data exploration, profiling, validation, and transformation.

- Build and maintain dashboards and reports using Power BI or Tableau.

- Define and monitor KPIs together with business and product stakeholders.

- Identify data quality issues and collaborate with engineering teams to resolve them.

- Support data modeling and preparation of analytics-ready datasets.

- Clearly communicate findings and recommendations to technical and non-technical stakeholders.

🧩 Requirements

- 5+ years of commercial experience as a Data Analyst, BI Analyst, Product Analyst, or in a similar role.

- Strong SQL skills, including complex queries, joins, window functions, aggregations, and query optimization.

- Practical experience working with Snowflake.

- Experience building dashboards and reports using Power BI or Tableau.

- Strong understanding of data modeling, data warehousing, and analytics-ready datasets.

- Experience working with large and complex datasets.

- Ability to translate business requirements into analytical solutions.

- Strong understanding of data quality, validation, and reconciliation.

- Strong analytical and problem-solving skills.

- Ability to clearly present insights and recommendations to business stakeholders.

- English level: Upper-Intermediate or higher

🧩 Nice to Have

- Experience with ETL or ELT processes and data transformation pipelines.

- Experience with AWS services such as S3, Glue, Athena, or Redshift.

- Experience with dbt or similar data transformation tools.

- Experience with Python for data analysis and automation.

- Experience with dimensional modeling and star schema.

- Familiarity with Git and CI/CD workflows.

- Experience working directly with external clients.

🧩You'll have an opportunity to:

Work with modern cloud data platforms and analytics technologies.

Analyze complex business data and influence data-driven decisions.

Collaborate with international engineering and product teams.

Build dashboards and reporting solutions used by business stakeholders.

Grow your expertise in cloud analytics, BI, and modern data platforms.

Let’s Start With a Hello
We’re looking for a Traffic Analyst who knows how to turn traffic data into clear business decisions. If you enjoy digging into funnels, analyzing user behavior, finding growth opportunities, and understanding what really drives ROI — this role is for you.

Who We Are
We’re an international digital product team working with multiple acquisition channels and markets. Data is at the heart of how we evaluate traffic, optimize marketing performance, and make product decisions.
Our culture?
Fast-moving and performance-focused.
Data-driven and analytical.
Focused on measurable business impact.
Collaborative, transparent, and growth-oriented.

What You’ll Be Doing 

• Analyzing performance across Affiliate, SEO, ASO, PPC, Direct, Email, Push, and other acquisition channels.
• Segmenting traffic by GEO, device, source, and user type.
• Calculating and monitoring key metrics: ROI, CPA, LTV, ARPU, Retention, and others.
• Preparing regular reports on traffic, conversions, and marketing campaign performance.
• Analyzing conversion funnels and identifying growth opportunities.
• Developing hypotheses and evaluating A/B test results.
• Providing data-driven recommendations to marketing and product teams.
• Analyzing user behavior, retention, and churn.
• Measuring the impact of promotions, bonuses, and product changes on business performance.

What Makes You a Great Fit

• 2+ years of experience as a Traffic Analyst / Marketing Analyst / Product Analyst.
• Strong knowledge of Excel / Google Sheets.
• Experience with BI tools such as Power BI, Tableau, Looker Studio, or similar.
• Strong understanding of marketing and product metrics: ROI, CPA, LTV, Retention, Conversion Rate, etc.
• Hands-on experience analyzing paid traffic and conversion funnels.
• Comfortable working with large datasets and analytical reporting.
• Ability to translate data into clear conclusions and actionable recommendations.
• English — Intermediate+.

Bonus Points

• Experience in iGaming, Betting, or Affiliate Marketing.
• Knowledge of SQL.
• Experience with trackers such as Keitaro, Voluum, Binom, or similar.
• Understanding of attribution and web/mobile analytics tools such as GA4, AppsFlyer, Adjust.
• Experience running and analyzing A/B tests.

What’s In It for You

• Cyprus-based candidates are preferred.
• Remote work can be considered for a strong candidate outside Cyprus.
• Opportunity to work with multiple traffic sources and large volumes of performance data.
• Direct impact on marketing efficiency, product decisions, and business growth.
• Close collaboration with marketing and product teams.
• Space to build hypotheses, find growth opportunities, and influence decisions through data.

Let’s Wrap It Up
If you know how to look beyond dashboards, find the story behind the numbers, and turn traffic data into actionable growth opportunities — we’d love to hear from you.

We're looking for a Product Analyst to join our Product team. In this role, you'll own the data behind our product decisions — tracking performance, uncovering insights, forming hypotheses, and driving their implementation to move our key business metrics. You'll act as both the data checker and the solution provider for our Product, Marketing, and Retention departments.
 

HOW YOU WILL MAKE AN IMPACT

• Track and monitor the full user flow from Visit to Churn, owning metrics at every stage of the lifecycle.
• Acquisition & registration: monitor high-funnel conversions such as Visit2Reg and Reg2Dep.
• Activation & monetization: track first-deposit behavior and core metrics including Deposit Sum, Bet Volume, and GGR.
• Engagement & retention: analyze player activity, session and betting patterns, and repeat-deposit behavior to identify what keeps users active.
• Reactivation & churn: monitor churn signals, dormancy, and reactivation performance to reduce drop-off and extend player lifetime.
• Search for insights in the data, identify friction points and growth opportunities across the user journey.
• Form data-driven hypotheses and see them through to implementation, measuring their impact on business performance.
• Serve as the go-to data checker and solution provider for the Product, Marketing, and Retention teams — validating data, answering analytical questions, and recommending actions.
• Build and maintain dashboards and reports so stakeholders can access and understand performance.
• Partner cross-functionally to shape decisions and priorities based on evidence rather than intuition.
• Propose product features to implement to web application based on data driven logic.

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• Proven experience in a product analytics or data analytics role.
• Strong analytical skills with the ability to turn raw data into clear, actionable insights.
• Hands-on experience with our core tools: PowerBI, Casino BO (back office), PostHog, Optional: Customer.io, Smartico AI.
• Solid understanding of funnel metrics and conversion analysis (Visit2Reg, Reg2Dep, etc.).
• Familiarity with iGaming / casino core metrics such as Deposit Sum, Bet Volume, and GGR.
• A hypothesis-driven mindset and the ability to move from insight to implementation.
• Strong communication skills to collaborate with Product, Marketing, and Retention stakeholders.
• Problem solving mindset.
• Proactivity and result driven.

Nice to Have

• Experience in the iGaming, betting, or online casino industry.
• Math skills, understanding of prediction models, forecasting.
• Experience designing and evaluating A/B tests and experiments.

HOW WE WILL KEEP YOU SMILING

• Flexible working hours and a remote work setup, so you can plan work around your life and not your life around work!
• Unlimited vacation days and paid sick leave—because your rest matters.
• A competitive compensation that truly reflects your skills and expertise.
• Employee referral bonus and gifts to celebrate your special occasions.
• 50% financial support for learning expenses to supercharge your professional growth!
• A positive atmosphere where you always feel respected and truly belong.
• Inspirational team-building activities that turn colleagues into best friends.
• Wellness benefits: We’ll support your sports passions, from yoga classes to gym memberships.
• Co-working space reimbursement to save your nerves from always working from home :)

Emerise Group is a dynamic, product-driven company operating in the iGaming industry, focused on building high-impact solutions that fuel innovation and deliver outstanding user experiences across the entertainment ecosystem. The team is looking for a Data Analyst with strong analytical thinking who can turn data into clear insights and support business decisions. The role focuses on building reports, analyzing marketing performance, and identifying opportunities for growth and optimization.
 

Requirements:

• 2+ years of experience as a Data Analyst / Marketing Data Analyst in a digital, performance marketing, affiliate, or iGaming company.
• Hands-on experience with BI tools (Tableau, Power BI, Looker Studio, or similar).
• Experience analyzing marketing traffic sources (PPC, SEO, CPA networks, etc.).
• Strong understanding of performance marketing metrics: ROI, LTV, Retention, Churn, ARPPU, MAU/DAU, and conversion funnels.
• Ability to work with Google Sheets / Excel at an advanced level.
• Analytical thinking and ability to transform business questions into data-driven insights.
• Understanding of attribution models and affiliate/media buying analytics.

Tech Stack:

• Tableau, Google Sheets, Python, SQL, Big Query.

Desired / Preferred Skills:

• Experience in iGaming, fintech, betting, or other high-volume transactional businesses.
• Experience with A/B test analysis and basic statistics.
• Familiarity with ETL/ELT tools (Pentaho, Airflow, dbt, or similar).
• Experience working with product analytics tools (GA4, Adjust, AppsFlyer, Amplitude, Mixpanel, etc.).

Expected Duties / Responsibilities:

• Build and maintain dashboards, reports, and self-service analytics for marketing and management teams.
• Prepare ad-hoc analyses and provide actionable recommendations to stakeholders.
• Translate business questions into analytical tasks, define requirements, prioritize requests, and coordinate execution with the external analytics/data team.
• Analyze acquisition performance across all traffic channels and identify opportunities for scaling profitable traffic.
• Investigate anomalies in marketing and product metrics and identify root causes.
• Document analytical logic, KPI definitions, and reporting methodologies for internal knowledge sharing.
   

Selling Points:

• Remote-First Work Model: we offer a fully remote work environment, providing you with the flexibility to work from any location worldwide while maintaining high productivity and work-life balance.
• Growth-Oriented Environment: join a fast-growing business operating in a startup-driven environment with minimal bureaucracy. We value efficiency, ownership, and the ability to make decisions quickly.
• Opportunity to drive data-driven decisions at scale: you will own reporting and analytics, turning complex data into actionable insights that directly influence marketing performance, product decisions, and business growth.
• Collaborative and Transparent Culture: we foster a professional, respectful, and open working culture where teamwork, accountability, and clear communication are core values.

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 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

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

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.

Сompany is a global #1 Crypto Sportsbook and Casino company with over 30+ years in betting and gaming industry. We create digital experiences where sports, technology, and crypto meet, focusing on fast transactions, high limits, and premium user experience.
With 4,000+ professionals and operations across 15+ countries, Parimatch is a global ecosystem driven by product innovation, advanced technology and customer experience.

Responsibilities:

• Analyze business and product performance across assigned regions.
• Monitor key business and product metrics and identify problems, trends, and growth opportunities.
• Independently conduct analysis, decompose results, and formulate clear, actionable conclusions.
• Work closely with management, present analytical findings, and discuss key business insights.
• Translate data into practical recommendations and next steps for the business.
• Track implementation of agreed actions and assess their impact on business results.
• Build and maintain analytical reports and dashboards in Tableau.
• Work with available data sources to investigate business questions and validate hypotheses.
• Continuously improve analytical approaches, reporting, and understanding of business drivers.
• Develop a deep understanding of the business model, product, key metrics, and factors influencing business performance.

Requirements:

• 2+ years of experience in Business Analytics, Product Analytics, Performance Analytics, or a similar role.
• Strong analytical and critical-thinking skills with the ability to move from data to clear business conclusions and recommendations.
• Confident experience working with BI tools, ideally Tableau.
• Ability to independently extract, validate, structure, and analyze data for business needs.
• Good understanding of business and product metrics and their interdependencies.
• Ability to communicate analytical findings clearly to management and business stakeholders.
• Strong ownership and initiative: willingness to go beyond reporting and actively contribute to business results.
• Ability to work independently in a dynamic environment and manage several analytical tasks simultaneously.

We care about you:

• Vacation: Reset. Recharge. Come back stronger.
• Sick Leave Allowance: Health is power. We designed the system to support you.
• Benefits Model: Your budget, your rules – spend it where it counts. Day one, it’s yours. No waiting, no barriers.
• Training Balance: Learn fast. Grow faster. Upskill, stay ahead, and keep your edge sharp.
• Team Building: Stronger together. We connect, compete, and celebrate – great teams don’t happen by accident.
• Generation Program: Focused on boosting the potential of children within our families.
• Work & Fun Balance: Driven at work, alive beyond it. Events, surprises, and shared moments keep our spirit high and our energy unstoppable.
   

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.
   

We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.


The future of Web3 starts with you: join us as a Product Analyst!

Requirements

— 5+ years in product analytics, preferably in fintech, payments, or banking products;
— Advanced SQL skills; confident working with large raw datasets from backend sources;
— Hands-on experience with PostHog — event tracking, funnel and retention analysis, feature flags analytics;
— Proficiency in Tableau — building production-grade dashboards consumed by non-technical stakeholders;
— Experience with BigQuery / Snowflake / Redshift as primary data warehouse;
— Working knowledge of dbt — understanding models, lineage, and writing/modifying transformations;
— Python / pandas for data wrangling, ad-hoc analysis, and automation of repetitive analytical tasks;
— Solid understanding of payments flows (authorization, settlement, chargebacks), conversion funnels, cohort analysis, and fraud/risk metrics;
— Ability to independently scope analytical requests, challenge vague questions, and deliver structured insigh — not just charts;
— Experience working in cross-functional teams with Product, Growth, and Risk stakeholders;
— English B2+ for documentation and async communication;

Responsibilities

◇ Analytics delivery:
— Own end-to-end analytics across user funnels, payments, risk & fraud, and growth - from request intake to insight delivery;
— Answer complex business questions using SQL queries against BigQuery/Snowflake/Redshift, dbt models, and PostHog event data;
— Build and maintain Tableau dashboards actively used by Product, Growth, and Risk teams;
— Conduct funnel, cohort, retention, and segmentation analysis to support product decisions;

◇ Collaboration:
— Work closely with Product Managers to define metrics, instrument new features in PostHog, and evaluate product performance post-release;
— Partner with the Growth & Marketing team on acquisition funnel analysis, campaign attribution, and conversion optimization;
— Support the Risk & Fraud team with behavioral pattern analysis, anomaly detection, and monitoring of fraud signals;
— Align with backend engineers on data availability, event schemas, and data quality issuesp;

◇ Proactive & structural work:
— Audit current analytical coverage and identify gaps in instrumentation or reporting;
— Propose and implement automation and self-serve solutions to reduce the volume of repetitive ad-hoc requests;
— Contribute to dbt models - write new transformations and improve existing ones as needed;
— Document analytical approaches, metric definitions, and dashboard logic to build team knowledge base;

Good to have

— Prior experience in a high-request-volume environment with a structured intake process;
— Exposure to fraud detection models or risk scoring logic;
— Experience building self-serve analytics layers to reduce ad-hoc load;

Work conditions

— Master cutting-edge technologies and become an expert in the most innovative industry;
— Work with the Fintech of the Future: develop your skills in digital finance and shape the global market;
— Take Your Professionalism to the Next Level: gain unique experience and be part of global transformations;
— Drive Innovations: influence the industry and contribute to groundbreaking solutions;
— Join a Strong Team: collaborate with top experts worldwide and grow alongside the best;

Work-Life Balance & Well-being:
— Modern equipment;
— Comfortable working conditions, and an inspiring environment to help you thrive;
— 24 calendar days of paid leave;
— Additional days off for national holidays.