Jobs Data Analyst

We are looking for a Product Analyst with 2+ years of experience in analytics, preferably (but not necessarily) in gaming or iGaming. The ideal candidate has strong SQL skills, experience with data visualization tools (Power BI or Tableau), and expertise in user behavior and product performance analysis. 

In this role, you will analyze key metrics. An important part of this role is building and maintaining dashboards in Power BI, integrating data from MS SQL and ensuring data accuracy and consistency across multiple sources.   

Experience 

• 2+ years of experience in data analytics 
• Previous experience in a data-driven role within gaming, or a digital product environment is a plus. 

Required skills 

• Hands-on experience with data visualization tools ( Power BI , Tableau). 
• Strong SQL skills for querying and analyzing large datasets. 
• Practical understanding of unit economics ( GGR, NGR, ARPPU, LTV, cohort analysis)
• experience in analyzing product metrics and user behavior

• analytical thinking and the ability to formulate conclusions based on data

   

  Responsibilities  

• Build new and maintain existing dashboards and reports based on Power BI
• Automate unit economics and key product metrics in Power BI.
• Analyze user behavior, engagement, and conversion through cohort, retention, and segmentation analysis to identify growth opportunities 
• Provide actionable recommendations to improve product funnel and key product metrics. 
• Develop predictive models to forecast unit economics, analyze and optimize unit economics. 
• Process ad hoc requests from product and marketing teams, providing quick insights to support strategic decisions. 
• Ensure data accuracy and consistency across multiple sources. 
• Collaborate with developers to improve data and database structures. 

  Nice to have

• Experience with or strong interest in eSports / Dota 2: understanding of the gaming ecosystem, ranking systems (MMR), and Steam API integrations 
• Basic Python skills (Pandas, NumPy) for processing large datasets and automating routine tasks

Why Join Us?  

• Work on a cutting-edge Gaming platform tailored for Dota2 enthusiasts. 
• Have a direct impact on product decisions and strategy using data-driven insights. 
• Be part of a cross-functional team blending product management, analytics, and user experience  

Responsibilities

– Design, development, and delivery of BI solutions using Power BI and SQL
– Publishing and managing reports via the Power BI service
– Consult and train customers to build their own visualization in Power BI service
– Conducting workshops and presentations

Requirements

– Minimum of 2 years of experience in Power BI development and implementation
– Confident practical experience of working with Power BI (DAX, Power Query, RLS)

– Experience of developing Power BI reports full cycle (data import, modeling, creating measures, visualizations)
-Understanding of landing, staging area, data cleansing, data profiling, data security and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart)
– Strong SQL-skills

– Strong understanding of data modeling, data warehousing concepts, and ETL processes.
– Excellent analytical and problem-solving skills, with the ability to identify data patterns, trends, and insights.

– Strong communication and interpersonal skills, with the ability to effectively collaborate with clients and team members at all levels.
– Experience in working with diverse industries and domains, understanding various business processes and challenges.

– English —at least upper intermediate level is a must (including presentation skills)
– Experience working in Agile development environment with tools such as Jira

Nice to Have:

– Experience in building ETL (Extract, Transform and Load) pipelines
– Knowledge of programming languages: Python
– Microsoft Power BI Data Analyst certified preferred

We offer

– Opportunities for professional growth and international certification
– Free of charge technical and business trainings and the best bootcamps
(worldwide, including HQ Microsoft- Redmond courses)
– Innovative data and analytics projects and practical experience with cutting-edge
Microsoft technologies
– Long-term employment ( not a temporary project)
– Individual development plan
– English speaking club — to develop your language level

We are looking for a detail-oriented and analytical Trainee Anti-Fraud Analyst to join our Risk
& Integrity team. In this role, you will be on the front lines of defending our platform against
bonus abuse, payment fraud, and suspicious gameplay.
Key Responsibilities
● Analyze customer activity, player behavior, payments, betting, and casino gameplay to
detect suspicious patterns, anomalies, and fraud risks.
● Investigate accounts, identify links between profiles, and make decisions on restrictions,
blocking, or escalation.
● Review AML forms, KYC documents, and related verification information to identify
inconsistencies, red flags, or potential abuse.
● Process and respond to fraud-related requests from internal teams such as Support,
Payments, and KYC, and monitor triggers, alerts, and other fraud signals.
● Maintain reporting, document case outcomes, participate in improving anti-fraud rules
and controls, and test products, flows, and processes for vulnerabilities that can be
exploited for fraud or abuse.
Requirements
● At least 1 year of experience in anti-fraud, risk, or a related analytical role in iGaming.
● Good understanding of casino operations and gaming processes, including bonus
mechanics, game types, betting logic, withdrawal verification, and player behavior.
● Ability to analyze large volumes of information, identify suspicious patterns, detect fraud
schemes, investigate linked accounts, and make independent risk-based decisions.
● Attention to detail, strong organizational skills, and the ability to manage repetitive tasks,
multiple cases, and deadlines while maintaining quality.
● Experience with anti-fraud rules and detection logic, as well as the ability to work with
Excel, Google Sheets, and Tableau reports for fraud analysis and decision-making.
● English level: A2+, strong written communication skills, and readiness to work in shifts
based on operational needs.
● Possession of your own reliable laptop/PC and a stable internet connection.
● Readiness to work in shifts, including night shifts and weekends, to ensure 24/7
operational coverage.
Benefits
● Competitive Compensation

● Flexibility: 100% remote work environment.
● Paid Time Off: 18 days of vacation plus 5 sick days per year.
● Career Growth: Real opportunities to progress within a professional, high-demand
support and analysis environment.

Who are we

EXITEK, an AI-first company, is revolutionizing how photos are edited. With a mission to bring cutting-edge AI technology to the masses.

Team

Marketing team is responsible for the sustainable growth of our user base and revenue. The team’s core job includes strategy, budgeting, reporting, and driving strategic decisions.

Responsibilities:

• Build and maintain reports, dashboards, and KPIs to monitor performance;
• Building predictive models for key product metrics;
• Optimization and automation of processes in analytics, working side by side with engineering team.
• Transform abstract questions into quantifiable metrics.

Requirements:

• 2+ years of experience as a Data Analyst / BI Developer;
• Experience of working with mobile applications or with a subscription business model is a must have;
• Understanding the meaning of basic product and marketing metrics (CR, ROI, LTV);
• Experience working SQL databases;
• High proficiency in SQL;
• Experience with Power BI;
• Ability to understand data and transform it into insights;
• High level of English.

Responsibilities

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

Requirements

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

Will be a plus

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

We offer

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

SBC Performance drives scalable growth for brands ready to expand globally.

Working across eCommerce, health & wellness, education, and entertainment, our team helps brands acquire customers faster and scale across 26+ global markets.

We combine data-driven paid media, performance creative, and advanced analytics to turn marketing into a predictable revenue engine.

Direct partnerships with Meta, TikTok, Google, Bing, and Snapchat give you priority access to premium ad infrastructure.

Scale faster. Grow smarter.

We’re looking for a Senior Data Analyst who transforms data into growth opportunities and drives high-impact business decisions.

Key Responsibilities

• Build and optimize full user funnels: landing pages, onboarding, activation flows, paywalls, CRM, and retention loops
• Analyze user behavior, identify bottlenecks, and run A/B tests to improve conversion rates
• Develop positioning and benefit-driven messaging for new features and updates
• Ensure messaging consistency across ads, landing pages, product screens, and CRM
• Lead GTM strategies for feature releases and product rollouts
• Prepare detailed briefs and collaborate closely with product, marketing, design, analytics, and creative teams
• Conduct user research, interviews, surveys, and JTBD analysis
• Track market and competitor trends in web & mobile apps, AI, and EdTech
• Own lifecycle flows: onboarding, activation, reactivation, upsell, churn reduction
• Monitor key funnel metrics and prepare performance reports
• Produce briefs for creative assets: landing pages, paywalls, product videos, ad creatives
• Translate complex product features into simple, compelling visuals and copy

Requirements

• 2+ years of experience as a Data Analyst, Data Engineer, or in a similar role in web marketing or product analytics;
• Proficiency in SQL and experience working with large datasets;
• A deep understanding of key marketing metrics (CAC, LTV, ROAS, payback period);
• Experience with cohort analysis, LTV modeling, and revenue forecasting;
• Experience using Tableau/PowerBI/Metabase/etc. to create dashboards and visualize data;

Nice to have

• Knowledge of marketing analytics and attribution
• Experience with subscription-based business models
• Development of predictive models for evaluating marketing investments
• Ability to take ownership and deliver end-to-end solutions

What We Offer
 

• Hybrid job in Prague/Warsaw or remote
• Competitive compensation
• Flexible working hours (start between 9:00–11:00 CET)
• All necessary equipment
• Paid vacation and sick leave
• Educational support: reimbursement for certifications, courses, and training
• Company events and internal knowledge-sharing activities
• Transparent communication and an open feedback culture

About Us

We are International Showtimes, a global entertainment data aggregator from Berlin, Germany. We operate in 120+ markets worldwide and serve clients across the globe. Our automated algorithm connects to 19k+ entertainment websites, to aggregate rich and high-quality data 24x7. The International Showtimes team consists of 22+ smart, motivated, and friendly people. We work remotely with team members in Germany, Albania, Kosovo, Poland, Colombia, and many more countries. We are now looking for you to support us in our next growth phase.

Your Tasks

As a Data Quality Manager and Support Agent at International Showtimes, you will have many exciting responsibilities. You will build with the management the data quality and support-related process for one of our products. You will work closely with other teams on important tasks and projects that will have a significant impact on the business. Your main responsibilities are to ensure a high data quality standard and to provide a great customer support experience. This role can also develop into a team lead role. 

This role operates in the US time zone.

• Responding to customer support requests via email (no phone/verbal contact)  
• Administration of data sets  
• Data research and data entry 
• Researching and resolving data errors 
• Development of new data quality concepts (KPIs, Benchmarks, etc.) and conducting the implementation phase 
• Creating data quality reports  

• Testing new tools and applications 

   

You're offering these qualifications
 

• Ideally, you studied business, computer science, or conducted a study in a related field
• You're able to work the US time zone. 
• Ideally, you have an understanding of IT development and experience with SQL 
• Ideally, you have experience working in the customer support sector
• You enjoy administering and cleaning data sets  
• You work accurately and deliver high-quality results with your analytical mindset
• You do not fear challenges, you rather like to solve them with your own unique approach
• You work independently, and you are reliable and accountable  
• You have a very good command of English
• You are eager to learn new skills
• You are friendly and open-minded 

Opportunities of working with us
 

• An important role in the data quality team with a great environment for your personal and professional development
• A full-time job position with a top-level monthly salary
• A vibrant start-up culture that promotes creativity, entrepreneurship, and co-creation
• The possibility of experiencing different aspects of a tech company and participating in exciting  
• Working within a friendly, international team of smart and open-minded people
• We can decide your working schedule together; we’re flexible 😊
• Opportunities to build relations, both in Germany and across the globe 
• A great opportunity to develop your professional and personal skills 
• Mentoring and support on your career development

We’re searching for a Middle BI Developer to join a blockchain company. This is a long-term opportunity

Responsibilities

• Build and maintain dashboards and reporting solutions in Power BI.
• Design and develop end-to-end analytics across multiple data sources.
• Integrate and combine data from GA4, HubSpot, Search Console, ERP, CRM, and internal systems.
• Configure and maintain data connections, connectors, and data flows.
• Develop and optimize SQL queries, data models, and reporting datasets.
• Validate data quality and ensure consistency across reports.
• Work closely with stakeholders to define KPIs and reporting requirements.

• Support the evolution of the company's BI and analytics infrastructure.

   

Requirements

• 2+ years of experience as a BI Developer, BI Analyst, Analytics Engineer, or Data Analyst with strong BI focus.
• SQL skills (joins, CTEs, window functions, query optimization).
• Strong hands-on experience with Power BI.
• Experience building dashboards and reporting solutions from scratch.
• Experience integrating data from multiple business systems (CRM, ERP, GA4, marketing platforms, internal databases, APIs).
• Understanding of ETL/ELT processes and data warehousing concepts.
• Experience configuring connectors and onboarding new data sources.
• Understanding of REST APIs and data exchange mechanisms.

• Strong analytical and problem-solving skills.

   

Nice to Have

• Experience with HubSpot, GA4, Google Search Console.
• Experience with Python for automation or data extraction.
• Experience with BigQuery, Snowflake, PostgreSQL, or similar databases.

• Experience in SaaS, FinTech, Blockchain, or B2B products.

   

What We Offer

• Remote-first environment.
• Opportunity to work on a growing blockchain product.
• High level of ownership and impact.
• Competitive compensation.
• Professional growth and career development.

Cosmolot is a Ukrainian product IT company that creates and develops an online digital entertainment platform. We build technology-driven solutions with a strong focus on security, transparency, and user comfort.

As a Data Analyst, you will analyze payment and fraud-related data, identify suspicious patterns and risks, and support fraud prevention and payment optimization initiatives through data-driven insights and reporting.

Requirements

• 4+ years of experience as a Payment Analyst, Fraud Analyst, Product/Data Analyst, Risk Analyst, or similar role
• Strong practical knowledge of SQL: CTEs, window functions, aggregations, joins, query optimization
• Experience analyzing payment transactions, payment funnels, success rates, declines, errors and fraud-related metrics
• Practical experience with Power BI
• Strong Excel skills
• Ability to work with large datasets and combine data from multiple sources
• Strong analytical thinking and attention to detail
• Understanding of key payment and fraud metrics (AR, SR) 
• Strong communication skills and ability to clearly present insights to business stakeholders
• Ability to work independently in a dynamic environment

Your Responsibilities

• Analyze payment performance, fraud prevention metrics, and player transaction behavior to support business decisions 
• Investigate suspicious activity, fraud patterns, bonus abuse, multi-accounting, payment manipulation, and other abnormal user behaviors 
• Collaborate with business teams (Product, Payments, Risk & Fraud) on data requirements, analytical insights, fraud prevention, and payment optimization initiatives 
• Collect, prepare, validate, and combine data from multiple sources for analysis and reporting
• Build and maintain analytical reports and dashboards in Power BI for payment, fraud, and transaction monitoring

Nice to Have

• Experience in iGaming, fintech, payments, traffic analytics, or other high-risk industries
• Experience with PSPs, payment providers, aggregators, antifraud or risk management systems
• Knowledge of fraud detection, bonus abuse, or suspicious activity analysis
• Basic experience with Python for data analysis or automation
• Understanding of payment processes (routing, cascading, 3DS, BIN analysis, card, crypto, and alternative payments)

What We Offer

• Work in a strong team of professionals and genuinely supportive people
• Opportunities for professional growth and development
• Flexible working hours
• Medical insurance
• Sports expense compensation
• Psychological support
• Free language classes (English, Spanish, and German)
• 18 working days of paid vacation, paid sick leave, and sick days
• Regular team buildings and corporate events
• All necessary equipment for comfortable work

About the Project

We are looking for a Data Analyst to join an international project focused on large-scale data aggregation and operational support. This role combines data analysis with operational responsibilities, offering an opportunity to work closely with both internal teams and the client.

Responsibilities

• Analyze large datasets and provide actionable insights.
• Validate business hypotheses and support data-driven decision-making.
• Write, optimize, and maintain SQL queries.
• Investigate client-reported issues and perform data validation.
• Conduct root cause analysis and assist in resolving operational incidents.
• Support day-to-day operational processes and client requests.
• Collaborate with cross-functional teams and stakeholders.

Requirements

• Solid knowledge of SQL, Python, and Excel.
• Strong self-management and ability to work autonomously.
• Experience working in distributed or remote teams.
• Ability to operate effectively in a dynamic, operational environment.

• Flexibility to occasionally support business needs outside standard working hours.

   

Working Conditions

• Working schedule: Sunday–Thursday (Ukraine time zone).
• Strong focus on information security and data confidentiality.

Hiring process

1. HR interview
2. Logic assissment
3. Python assissment 
4. Technical interview
5. Client interview

Responsibilities

• Control of tracking completeness and event data quality across the website;
• Analysis of key product funnels and user behavior;
• Identification of UX friction points and growth opportunities;
• Monitoring of data quality and investigation of discrepancies across sources;
• Analysis of suspicious user behavior and abnormal activity patterns;
• Preparation of dashboards, reports, and analytical findings for product teams;
• Documentation of metrics, event logic, and data definitions.

Requirements

• 2+ years of experience in product, web, or data analytics;
• Strong SQL skills and experience working with large datasets;
• Experience with web analytics and event-based tracking;
• Understanding of product funnels, conversion metrics, and user behavior analysis;
• Experience with data validation, reconciliation, and data quality control;
• Ability to build dashboards and translate data into actionable insights;
• Good understanding of ETL processes and data structures;
• Will be plus: experience in iGaming, fintech, or other high-load digital products;
• Will be plus: experience with fraud, bonus abuse, or suspicious user behavior analysis;
• Will be plus: knowledge of A/B testing and experiment analysis;
• Will be plus: experience with BI tools such as Tableau, Power BI, or Looker;
• Will be plus: familiarity with Python for analytical tasks;
• Will be plus: experience working with clickstream data.

About the Role

We are looking for a highly analytical, detail-oriented, and proactive Product / Web Data Analyst to own and evolve our analytics ecosystem.

This role requires much more than reporting. The successful candidate will become an expert in our product, customer journeys, data architecture, and measurement framework. They will be expected to understand how data is generated, where it comes from, how it is processed, and how it should be interpreted to support product and business decisions.

The ideal candidate is naturally curious, enjoys investigating complex systems, and is comfortable working independently while collaborating closely with cross-functional teams.

What You'll Do

Deep Product Understanding

• Develop a comprehensive understanding of the product, business model, customer lifecycle, and key success metrics.
• Map and analyze user journeys across multiple touchpoints.
• Identify opportunities, bottlenecks, and behavioral patterns throughout the customer lifecycle.
• Support data-driven decision-making across Product, Marketing, CRM, and Leadership teams.

Data Analysis & Insights

• Work directly with raw event-level data stored in BigQuery.
• Explore, clean, transform, validate, and analyze large datasets.

• We are looking for Regular Data Analyst (Internal Luxoft Project).
  The job purpose is to co-create a trusted data environment for the executive management and internal clients required for business decision-making by applying various data analysis, visualization tools, and techniques.
  The project focuses on supporting internal business operations through analytical reporting, executive presentations, and cross-functional collaboration with multiple business lines.
  The Regular Data Analyst will be responsible for preparing MS PowerPoint presentations for leadership and stakeholders, delivering regular and ad-hoc reporting tasks, analyzing business performance metrics, and partnering with different business units to support strategic decision-making.
  The role also includes data validation, dashboard maintenance and ensuring timely delivery of analytical insights.
  You will work alongside BI and Data Analysts, DWH experts, contributing to the development and maintenance of the corporate reporting eco-system.
   

• Responsibilities:

  • Provide business performance reporting, manipulating, and joining different data sets in the most appropriate format for the stakeholders
  • Perform ad-hoc reporting, extracting data from corporate data sources
  • Provide regular reporting required for Executive meetings
  • Take part in cross-domain deep-dive projects, delivering and highlighting insights, facts, and trends for executive decisions
  • Take part in internal Reporting & Analytics initiatives aimed at further development, and improvement of a data-driven culture
  • Communicate with internal stakeholders: BI analysts, DWH, Business & Back-office streams (Sales, Billing & Contracting team), Executive Management
   

• Mandatory Skills Description:

  MS PowerPoint: Advanced user of Microsoft PowerPoint for creating executive-level business presentations, analytical storytelling, KPI summaries, and stakeholder-ready reporting materials. Skilled in data visualization, presentation structuring, animation setup, template customization, and translating complex analytical insights into business-friendly narratives.
  
  MS Excel: Strong expertise in optimizing reporting processes, handling large datasets, and developing automated reporting solutions for business stakeholders.
  
  Data Analysis: Strong analytical expertise in collecting, transforming, validating, and interpreting business data to support strategic and operational decision-making.

As a Senior Growth Analyst at Readdle, you'll own the numbers behind how Spark grows and proactively discover opportunities and validate the impact of initiatives. From the first ad impression to long-term renewals, you'll make sense of the data, design event structures, and ensure everything is measurable. You'll dig into funnels, uncover insights, and build dashboards that make growth performance crystal clear for product and marketing teams.

What will you do:

• Transform and analyze large datasets in BigQuery and Amplitude to discover product & growth opportunities, trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve reports that enable stakeholders to answer key questions with data and establish a clear source-of-truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments; build a robust monetization measurement system to support pricing and migration decisions.
• Analyze user funnels across ads, store, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and growth opportunities.
• Design, sequence, and monitor A/B experiments and feature launches; validate results and ensure statistical rigor & consistent long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; shape quarterly prioritization with discoveries from data and impact scenarios to influence roadmap decisions.
• Build forecasting and scenario models for installs, conversions, retention, and revenue.
• Ensure data integrity across tools and pipelines through established QA processes; work with measurement vendors to meaningfully track attribution and optimize acquisition reporting.

About you:

• 5+ years in growth, product, or marketing analytics in a B2C or SaaS environment, with experience working on user acquisition, pricing, monetization, and/or migration initiatives in subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses (Redshift, Snowflake); proficiency in Tableau/Looker/etc. for reporting and complex data visualization and product analytics tooling. Amplitude/Mixpanel/Heap/Hotjar/PostHog for event/property tracking and user journey tracking.
• Experience with marketing attribution platforms (Appsflyer/Adjust/Kochava/etc.); familiarity with Python/R for data analysis and automation. Experience with ML or time-series inference is a strong plus.
• Solid understanding of product analytics (funnels, cohorts, retention, event tracking), marketing analytics (incl. attribution, MMM, incrementality testing, etc.), statistics, experimentation, and experience with segmentation and modeling churn or LTV. Demonstrable advanced analytics experience (causal inference, quasi-experiments, linear programming, econometrics, etc.) is highly advantageous for the role.
• Proven ability to design self-serve dashboards and act as a strategic thought partner to PM/PMM teams, not just an executor of analytics requests.
• Solid business acumen. Comfortable working cross-functionally with product, marketing, and engineering teams with a proactive, curious, and coachable mindset.
   

What you will get at Readdle:

• Customer-centric culture. We put our users at the heart of everything we do. Every team member has the opportunity to engage directly with customers, gaining insights that shape meaningful, delightful experiences for millions worldwide.
• Relentless growth. We’re committed to mastery in our craft. We take ownership of our work, decisions, and outcomes, and we see feedback as a catalyst for growth. Every challenge is an opportunity to learn, evolve, and raise the bar.
• Exceptional people, exceptional team. Our greatest strength is our people. We care deeply about each other, work transparently, and celebrate collective success. Together, we build an environment where everyone can do their best work and grow beyond their potential.
• Real impact. We design products that truly matter. Our focus is on delivering tangible value, simplifying complexity, pushing boundaries, and continuously improving how we build and deliver solutions to our users.
• Culture of innovation. We embrace curiosity and creativity in everything we do. Fresh ideas are not just welcomed, they’re expected, celebrated, and turned into real innovations that shape the future of our products and company.

Our client is an international product-based IT company specializing in the iGaming industry. Born in 2014, they rocked the CIS region and are now taking their success worldwide.

We are currently looking for a Middle/Senior Data Analyst.

📋 Key responsibilities and your contribution:

• Own end-to-end analytics for an assigned domain, acting as the main point of contact for data-related business needs.
• Analyze user behavior to identify anomalies, suspicious activities, and emerging fraud patterns.
• Develop, optimize, and maintain rules and triggers for automated risk monitoring and fraud detection systems.
• Design, build, and maintain SQL models, dashboards, and reporting solutions to support business decision-making.
• Identify trends, risks, and growth opportunities, translating findings into actionable recommendations.
• Use SQL and Python to extract, transform, and analyze large datasets efficiently.

• Partner with cross-functional teams to conduct advanced analyses and provide insights that drive business strategy and operational improvements.

   

📚 Your qualifications:

• 2+ years of experience in Data Analytics.
• Strong practical experience with SQL and relational databases.
• Experience working with Google BigQuery (GBQ) is a strong plus.
• Proficiency in BI tools; experience with Tableau is preferred.
• Strong analytical, problem-solving, and communication skills.

• A proactive, ownership-driven mindset with the ability to identify issues, propose solutions, and drive improvements.

   

➕ Nice to have:

• Experience in iGaming is highly preferred.
• Experience in Fraud or Anti-Fraud Analytics is a strong plus.
• Familiarity with various analytical domains within the iGaming industry.

• Familiarity with Git.

   

Benefits:

⭐ Time Off & Recovery: 20 working days of fully paid annual leave, fully paid sick leave, and public holidays off according to company policy.

⭐ Health & Wellness: A flexible Benefits cafeteria that allows you to choose the perks that fit you best, with options including medical support, regular check-ups, mental health services, or gym access.

⭐ Education & Development: Internal and external training, industry events, language courses, and professional service subscriptions.

⭐ Workspace & Tech: All necessary corporate equipment provided, the flexibility to work fully remotely, and premium digital tools to enhance performance (e.g., AI tools, ChatGPT Plus).

⭐ Work Environment & Perks: Holiday bonuses, gifts for special occasions, paid business trips, and team events.