Jobs Data Analyst

We’re looking for a Head of People Data & Transformation to build the data, technology, and operating foundation of our People function. You’ll own the transformation of data into a single source of truth, connecting insights across Talent Acquisition, Performance, HRBP, Workforce Management and turning data into actionable, predictive insights for the business.

Responsibilities

• Build and maintain a global People Data Warehouse that brings HR data from different systems into one place
• Own HR Tech roadmap, integrating AI tools, Copilots, and low-code automations to eliminate manual processes and maximize software ROI
• Build executive dashboards and predictive models to drive data-backed strategic decisions
• Design multi-year workforce capacity and headcount forecasting models
• Improve and standardize HR processes across teams
• Manage the department budget, lead vendor vendor selection and procurement, and negotiate optimal global contracts and SLAs

Requirements

• 3+ years of management experience, including team leadership and cross-functional project coordination
• Strong background in HR with a good understanding of HR processes
• Experience integrating data from HRIS, ATS, payroll, and LMS systems
• Strong experience in People Analytics and BI tools such as Power BI, Tableau, or Looker
• Experience with statistical and predictive modeling using Python or R
• Experience working with system integrations, APIs, webhooks, automation tools, and AI/Copilot solutions
• Experience with workforce planning, headcount forecasting, skills gap analysis
• Expertise in Lean/Six Sigma methodologies, process mapping, RACI matrix design, and establishing audit-ready Standard Operating Procedures (SOPs) before system automation
• Strong commercial mindset to translate complex data and tech initiatives into ROI-driven business cases, understanding P&L impacts, org-design metrics
• Upper-Intermediate level of English

Will be a plus

• Knowledge of international data protection requirements, RBAC, data categorization, and auditing of sensitive HR data

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

We are looking for a Marketing Data Analyst to join the team. The role covers the full acquisition analytics cycle — from validating and consolidating data from the DB, affiliate platforms, and advertising sources to building dashboards, forecasting ROI, and providing recommendations on budget allocation. The position also serves as a point of connection with the Retention team for end-to-end traffic quality assessment.

Requirements

• 4 years of overall analytics experience, including 1-2 years specifically in marketing analytics; experience in performance/affiliate marketing in a high-traffic vertical
• Strong SQL skills: window functions, CTEs, cohort analysis, working with large datasets, and understanding query costs
• Practical experience with BI tools (Tableau is preferred; Power BI / Looker / Metabase are also acceptable)
• Understanding of acquisition unit economics: CPA, CPL, RevShare, Hybrid, ROI/ROAS, LTV, and payback period
• Understanding of attribution and tracking: UTM, postbacks, attribution windows, multitouch vs. last-click attribution
• Python at an automation level: pandas, API data extraction, reconciliation scripts
• Ability to independently trace data back to its source rather than relying on ready-made data marts
  Nice to Have
• Experience with affiliate platforms (Affilka, Referon)
• Experience with Snowflake, dbt, and Airflow
• Experience with LTV/ROI forecasting, cohort models, and survival analysis
• Experience identifying fraudulent or low-quality traffic: bonus abuse, incentivized traffic, source spoofing
• Experience conducting and correctly interpreting A/B tests
• Experience working with retention data and CRM campaigns
• Experience in a multi-brand environment across multiple geos and currencies

Responsibilities

• Analyze the performance of acquired traffic and marketing campaigns by source, partner, and geo
• Analyze and optimize marketing funnels and identify bottlenecks
• Collect, validate, and consolidate data from multiple sources for reporting; own and maintain metric definitions
• Develop and maintain dashboards for different stakeholders
• Automate data collection and analytical processes, moving manual reporting into automated pipelines
• Generate and validate hypotheses to improve traffic ROI and operational efficiency
• Identify anomalies and conversion issues on a daily basis
• Turn raw data into actionable recommendations for budget allocation and decision-making

What we offer:

• Flexible schedule and freedom to choose your work format: remote or from our offices in Kyiv or Warsaw.
• 24 paid vacation days, sick leave, and medical insurance (already available in Ukraine; other locations -  in progress).
• A team where it’s easy to ask questions, learn, contribute, and be yourself.
• Coverage for professional events, training, and certifications.
• Team buildings, birthday gifts, and a community that truly cares.
• Zero business ties with the aggressor country - and we’re proud of that.

About RiskSeal

RiskSeal is a B2B startup serving fintech clients globally. Our API-first credit risk management platform enables digital banks and consumer lenders to simplify onboarding through data-driven insights.

We are growing rapidly and value collaboration with passionate, creative professionals. Join us to innovate, contribute your expertise, and grow alongside our team.

Headquarters: Dallas, Texas, USA

European Office: Warsaw, Poland

Learn more: https://riskseal.io/ 

Job Description

We are looking for a motivated Credit Risk Analyst to join our team in a fully remote role. The ideal candidate has experience in credit risk modelling, strong Python and SQL skills, as well as hands-on experience with scoring models. You will build and optimize advanced credit risk and anti-fraud models by leveraging machine learning, anomaly detection, and alternative data alongside traditional scoring. Working with client data, you will translate complex algorithmic outputs into clear, actionable insights for clients, partners, and internal teams.

What we're looking for:

• 2+ years of experience in credit risk modelling.
• Solid knowledge of classical methods (logistic regression, decision trees, scorecards) and ML (boosting, random forests, neural networks).
• Strong Python and SQL skills.
• Background in a bank, fintech, or data vendor environment.
• Experience with PD modelling, scoring, and portfolio performance metrics.
• Comfortable working end-to-end: from raw data to a validated, production-ready output.
• Able to present findings clearly to non-technical audiences, including clients and business partners.
• Upper-Intermediate English level or higher.

What you'll be doing:

• Build, test, validate, and implement predictive credit risk, scoring, and anti-fraud models.
• Analyze complex client data and alternative data streams to uncover hidden insights and deliver data-driven recommendations that guide strategic decisions.
• Continuously monitor and audit model performance (tracking drift, Gini, and PSI) to ensure long-term stability and accuracy.
• Design and experiment with new data attributes, leveraging digital footprint and transactional data to improve model predictability.
• Present analytical findings, model performance reports, and innovative ideas directly to clients, partners, and internal teams.
• Conceptualize new analytical products, scorecards, and advanced data solutions to expand RiskSeal's product offering.
• Partner closely with business, product, and tech teams to deploy models and seamlessly turn data insights into scalable, real-world value.

Nice to Have

• Experience working with alternative data sources.
• Knowledge of model governance and validation frameworks.
• Experience presenting analytical solutions directly to clients.
• Exposure to fintech products, digital lending, or embedded finance.

What We Offer

● A fully remote, full-time role in a growing product fintech company
● A fast-paced environment with minimal bureaucracy and quick decision-making
● The opportunity to work on credit risk models, scoring solutions, and real client data
● Direct collaboration with business, product, and tech teams
● The chance to contribute to analytical products that create real value for clients
● Competitive compensation and opportunities for professional growth

We are seeking a highly analytical and detail-oriented Security Data Analyst to join our Information Security team. The successful candidate will be pivotal in safeguarding our digital assets by analyzing security data, identifying threats, and providing actionable insights to strengthen our security posture. This role combines expertise in data analysis with a deep understanding of cybersecurity principles.

Main Responsibilities

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

Mandatory Requirements

Technical Proficiency

– 3+ years of experience in a cybersecurity role, specifically in data analysis, SOC/incident response

– Hands-on experience with DLP technologies (e.g. Symantec)

– Strong knowledge of SIEM/Logging platforms (e.g. Elastic) and log aggregation principles

– Proficiency in scripting languages (e.g., Python, PowerShell) for data manipulation and automation

– Familiarity with network protocols, operating systems (Windows, Linux), and cloud environments (AWS, Azure)

– Knowledge of privacy and data protection regulations

Analytical Skills:

– Proven ability to collect, analyze, and interpret complex technical data to solve security problems

– Excellent problem-solving skills and attention to detail

English: intermediate or higher

Ukrainian/Russian: native or advanced

Education: Bachelor’s degree in Computer Science, Information Security, or a related field, or equivalent practical experience

We offer

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

Motivation Bonus System: We see results. We reward drive. Our bonus system fuels performance and celebrates dedication – because excellence deserves recognition

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

We are building one of the most powerful live-streaming platforms, already connecting 400K+ monthly active users through live events, interactive video chats, and real-time community experiences. Our mission is bold: bring joy, fight loneliness, and deliver safe, ad-free entertainment that keeps people coming back.
This is a complex, fast-moving space, and we love it that way! So, you will join a passionate, expert team tackling everything from scaling AI-powered recommendations to launching high-impact, data-driven features that boost monetization and engagement. Every idea counts here, and every release reaches a massive global audience.
We are now expanding into Arab countries and Europe, enhancing content quality, and rolling out new features to keep users hooked. We are among the Top 5 streaming products in the US and rank in the Top 10 worldwide. Our next milestone: break into the global Top 5, and we are moving fast to make it happen

About the role: In this role, you will turn numbers into insights, ensuring our marketing stays sharp and effective. From analysing campaign efficiency to connecting marketing and product analytics, you’ll spot growth opportunities and track performance with precision. Your work will directly influence data-driven decisions, keeping our marketing activities stable, scalable, and impactful. With strong results, you’ll also have the opportunity to grow in seniority and potentially lead the department in the future.

In this role, you will

• Analyze paid marketing campaigns across multiple channels, regions, creatives
• Build regular reports and provide ad-hoc analytics on marketing effectiveness (CAC, ROI, LTV, attribution).
• Connect marketing data with product metrics to measure the true business impact of campaigns.
• Monitor marketing funnel health and detect anomalies or drops in performance.
• Collaborate with product analysts, marketers, and data engineers to improve data pipelines and tracking.
• Provide actionable insights and recommendations to optimize campaigns and budget allocation.

It’s all about you

• Experience collaborating with marketing and product teams to monitor key performance metrics, identify anomalies or performance issues, and communicate actionable insights to managers for decision-making.
• Strong SQL
• Strong problem identification skills with critical thinking and a clear understanding of cause-and-effect relationships.
• Proficiency in BI tools (Tableau, Looker, or similar).
• Solid understanding of marketing metrics (CAC, ROI, LTV, ARPU, retention) and attribution models (last-click, multi-touch)
• Good communication skills to translate complex findings into business recommendations

Would be a plus

• Familiarity with Python and basic understanding of ML
• Usage of AI tools (ChatGPT, Claude AI, Gemini, etc) on a daily basis

What we offer

Care and support:

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

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule
• Workspace rental reimbursement in other cities and abroad
• Modern equipment or depreciation of your own tools

Investment in your future:

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

Hiring process

• Intro call
• Technical interview
• Reference check
• Offer

About the Client:

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

About the Role:

We are looking for a Senior Data Analyst to support a project focused on assessing and building a comprehensive customer universe using data from internal and external sources. The role focuses on data acquisition, validation, matching, and process development — assessing data quality and coverage, matching external data with existing customer/account databases, identifying gaps and duplicates, and developing a structured approach for ongoing data maintenance and improvement. The contractor will work closely with Global Insights, Customer Excellence, and local affiliates to refine processes, support pilot readiness, and translate findings into practical recommendations.

Key Responsibilities:

• Support the execution of a data acquisition and validation POC using external data sources.
• Work with large datasets from internal and external sources, including cleansing, structuring, and validating data.
• Assess match rates, data coverage, duplicates, gaps, inconsistencies, and overall data quality.
• Investigate data discrepancies and identify opportunities for data enrichment and improvement.
• Evaluate external data attributes as potential indicators of customer/account size, activity, or potential.
• Develop and document approaches for customer universe identification, matching, validation, and ongoing maintenance.
• Create clear process documentation and SOPs and identify opportunities for process simplification or automation.
• Support pilot preparation by defining relevant requirements, success metrics, and recommendations.
• Collaborate with business stakeholders and local teams to understand requirements and communicate findings.
• Present analytical findings and practical recommendations to relevant stakeholders.
• Maintain project documentation, trackers, and progress updates.

Required Qualifications:

• 4+ years of experience in Data Analytics, Data Quality, Data Operations, Business Analysis, or a related field.
• Strong hands-on experience working with large and complex datasets.
• Advanced Excel skills and confidence working with large volumes of data.
• Practical experience with data cleansing, validation, matching, and deduplication.
• Experience combining and analyzing data from multiple sources.
• Strong analytical and problem-solving skills, with the ability to investigate data quality issues and identify patterns, gaps, and inconsistencies.
• Ability to independently structure ambiguous problems and develop practical approaches to solving them.
• Ability to translate analytical findings into clear business insights and recommendations.
• Strong attention to detail and data accuracy.
• Good communication and stakeholder management skills.
• Ability to work independently and take ownership of tasks in a fast-moving environment.

Nice to have:

• Experience in healthcare, aesthetics, medical devices, pharmaceuticals, or commercial excellence.
• Experience using external data providers or web-sourced datasets.
• Experience with CRM systems (Veeva CRM, Salesforce, Dynamics, etc.).
• Experience building customer universe or account segmentation approaches.
• Familiarity with data enrichment and data quality methodologies.
• Experience working across international markets.

We offer*:

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

*not applicable for freelancers

About Us
 

We're building a wellness ecosystem to help people establish healthier habits. Our roadmap for the next year includes 10 new mobile apps, supplement brands, a fitness band, and a ring.
 

Our team has already built a profitable mobile app business in the utility sector, and now we’re applying our experience to the health and wellness niche. Supported by an established international business group with over 25 years of experience in the digital sector, we're combining the stability of a mature business with the speed and ownership of an early-stage team.
 

We're developing our products from the ground up and growing our team in the areas of product development, marketing, data analysis, creative design and engineering.
 

If you're excited by the opportunity to shape products from their earliest stages, make an impact through your work, and grow alongside the business, we'd love to meet you!

About the Role

Mission

Build a data-driven product development process by defining, tracking, and analyzing key metrics across the entire user journey.

Key Challenges

Establish scalable analytics frameworks, standardized reporting, and reliable data instrumentation across multiple mobile products.

Team

You'll work closely with Product Managers, Marketing, and Engineering, serving as the primary analytics partner for our mobile apps.

What You'll Do

• Partner with Product Managers and Marketing to define, track, and analyze key metrics across the entire user journey — from pre-install acquisition to monetization,
• Build and maintain scalable analytics frameworks across multiple Android and iOS applications, ensuring consistent data quality and consistent metric definitions,
• Lead data instrumentation by defining tracking requirements, event structures, and implementation standards across all products,
• Create and maintain dashboards using Looker, Tableau, Mixpanel, or similar tools to enable data-driven decision-making across Product, Marketing, and leadership,
• Measure and analyze the impact of product features, onboarding flows, AI-powered functionality, and marketing campaigns on acquisition, engagement, retention, and monetization,
• Own analytics for a portfolio of mobile products while documenting and standardizing metric definitions and reporting frameworks.

What We're Looking For

• 5+ years of experience as a Data Analyst, Product Analyst, or in a similar analytics role,
• Advanced SQL skills with experience working with large-scale datasets,
• Strong proficiency with data visualization tools such as Tableau, Looker, Power BI, or similar,
• Experience using Python or R for statistical analysis, automation, and data modeling,
• Experience with LTV and revenue forecasting,
• Strong understanding of advertising monetization, product analytics, web analytics, and subscription-based business models,
• Experience with database design and UML diagrams,
• Understanding of data warehousing concepts and analytics engineering tools such as dbt,
• English level C1 or above.

Nice to Have

• Experience in the Health & Wellness, mobile apps, or subscription-based products domain,
• Experience working in an early-stage product environment,
• Familiarity with AI tools and automation.

What We Offer

• Competitive base salary based on your experience, with the opportunity to discuss a performance bonus after successfully completing the probation period,
• Fully remote work with a flexible schedule aligned with the European time zone,
• The opportunity to join us at an early stage and help shape both our products and the way we work,
• High ownership, autonomy, and direct influence on product decisions,
• A fast-moving, collaborative environment with minimal bureaucracy,
• Work alongside experienced Product, Marketing, Data and Creative professionals while building products for a global audience,
• Potential relocation support, discussed individually.

Hiring Process

1. Intro Call with Talent Acquisition Manager (1 hour),
2. Test Assignment,
3. Final Interview with the Strategic Director (30–45 min),
4. Offer 🎉.

Ready to Make an Impact?

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 :)

Join a Company That Invests in You

Seeking Alpha is the world's leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

What We're Looking For

Do you look at websites and think about how they might be personalized? Do you use websites and apps and think about how their features have been designed to be best for a lot of different users? Do you read articles with statistics and think about how they may be misinterpreting the data to get their results? If these things describe you, and if you’re great at SQL and have experience analyzing website data, you’re someone we want to talk to.

We’re looking for a Senior Data Analyst with experience analyzing website data. Our data analyst team analyzes everything on our website, not only for their immediate use but also for how they connect to high-level company KPIs. Our Analysts analyze raw data, not only pre-aggregated data, to extract just the right information and diagnose what is happening on our site.

The role requires understanding web development and how data is gathered, analysis of site usage and a/b tests, data visualization, and how different kinds of data can be presented most clearly, and business KPIs and how they are measured.

But more than that, we’re looking for experienced analysts who can bring us new ideas about how to analyze and extract insights from website data. Our ideal candidates have measured KPIs that we haven’t measured or used new ways to explain user retention, or analyzed features of users' data that we haven’t analyzed.

The best thing about our work is that we’re part of an incredibly data-driven company. Everyone from the CEO down uses data every day. The data teams are involved in every single thing the company does.

What You'll Do

• Analyzing the behavior of users on our site and apps:

-Build and maintain dashboards that visualize the usage of single or multiple features and how that usage drives company KPIs.

-Answer questions about site usage or user behavior based on deeper analyses.

• Analyze and track high-level KPIs such as conversion, retention, churn, recurring revenue, engagement, cross-device usage, e-mail and notification usage, and more.
• Communicate with business stakeholders on analysis results, how they relate to business, and what business suggestions result from the analysis.
• Run the whole data flow for site and app features, from defining KPIs, specifying data collection for development team implementation, and building and maintaining iterative versions of dashboards with both low-level and high-level views of collected data.
• Split tests of product features:

-Design a test with clear success criteria

-Monitor test integrity

-Analyze results and give recommendations

-Use segmentation and clear cohort analysis to validate significant conclusions

-Conduct exploratory analysis to identify trends and opportunities

Requirements

• A minimum of 5 years in a B2C website-related Data Analyst position
• Strong SQL skills with experience writing complex and efficient analytical queries
• Demonstrated experience with working in English directly with business stakeholders, understanding their needs, and explaining results
• Understanding of website development and operations and how they connect to data gathered.
• Experience with data visualization tools (Looker/Tableau/PowerBI, etc.)
• Experience with report writing and technical requirements analysis, business process modeling/mapping, methodology development, and data modeling

About the role
We are looking for an Agile, product-oriented Senior Analytics Engineer to drive our
modern data architecture. You will be the bridge between raw data and business value for
our digital products and online services.
In this role, speed and value are key. You will adopt an MVP (Minimum Viable Product)
mindset to launch data products quickly, iterate fast, and provide actionable insights for our
Marketing and Finance teams. You will work on our cutting-edge stack—building robust
pipelines in dbt and BigQuery, and exposing data through our next-generation semantic
layer in Omni Analytics.

What you will do
● Modern Data Modeling: Design, build, and maintain scalable dbt models in
BigQuery. Transform raw data into clean, tested, and documented data marts ready
for analysis.
● MVP Delivery: Adopt a fast-paced, product-oriented mindset. Launch Minimum
Viable Products for data reporting to give product and business stakeholders quick
answers, then iterate based on feedback.
● Semantic Layer Ownership: Implement and govern the business logic in Omni
Analytics (or similar modern BI tools), ensuring metrics are defined once and trusted
by everyone.
● Cross-Functional Analytics: Collaborate closely with Marketing and Finance
departments to understand our digital platform metrics (CAC, LTV, ROI, conversion
funnels, retention, and MAUs) and translate them into technical solutions.
● Quality & CI/CD: Apply software engineering best practices to data: version control
(Git), automated testing, and CI/CD workflows for data pipelines.

Requirements
● Experience: 6+ years in a Data Engineering, Analytics Engineering, or advanced BI
role.
● Modern Data Stack (Essential): Extensive experience with dbt and cloud data
warehouses (preferably BigQuery, though Snowflake/Redshift is valid).
● BI & Semantic Layers: Experience with Omni Analytics is highly desired.
Alternatively, strong experience in Looker (LookML), Power BI, or Tableau, with a
clear understanding of semantic layers and governed metrics.
● Domain Knowledge: Strong understanding of digital products, online services, and
high-traffic platform dynamics. Exposure to Marketing and Finance data is highly
desirable.
● Technical Skills: Advanced SQL optimization, data modeling (star schema, OBT),
and Git workflow.
● Mindset: MVP-oriented, proactive, and capable of finding innovative solutions to
challenging problems.

Tools you will work with
BigQuery · dbt · Omni Analytics · SQL · Git · Digital product analytics platforms

About the role
The backbone of our digital business relies on flawless financial & marketing operations. We
are seeking a highly reliable and detail-oriented Analytics Engineer to manage and
optimize our core data architecture.
In this role, you will be the absolute owner of the daily data operations that feed our PSP
(Payment Service Providers), TAX, Controlling, overall Finance reporting, and our Marketing
campaign cost tracking. You will ensure our Pentaho ETLs run smoothly via Jenkins, our
MariaDB instances are highly performant, and our Qlik Sense dashboards provide the exact
numbers our stakeholders need. This is a high-impact role where precision and stability are
non-negotiable.

What you will do
● Architecture Management: Own, maintain, and optimize our core ETL pipelines
using Pentaho Kettle (version 9.3 Community).
● Database & Automation: Manage complex data transformations and queries in
MariaDB, and ensure all automated jobs are orchestrated flawlessly through Jenkins.
● Finance & Marketing Domain Ownership: Work daily with transactional data,
payment gateways (PSP), Tax reporting, Controlling reconciliations, and the daily
ingestion of marketing campaign costs from various ad platforms.
● BI & Reporting: Design, develop, and maintain critical financial dashboards and
reports in Qlik Sense, extracting logical conclusions and actionable insights.
● Production Troubleshooting: Diagnose and debug data issues in a live production
environment, ensuring financial closing and daily reporting are never delayed.

Requirements
● Experience: 4+ years of experience implementing ETL processes, managing
databases, and building BI solutions.
● Tech Stack (Essential): Deep expertise in Pentaho Kettle (or similar legacy ETL
tools like Talend or Informatica), relational databases (MariaDB, MySQL,
PostgreSQL), and job orchestration via Jenkins.
● BI Tools: Strong experience in Qlik Sense. Knowledge of Power BI or Tableau is
also valid.
● Domain Knowledge: Proven experience working with Finance data (Payment
Service Providers, Tax reporting, Controlling processes) and Marketing data
(ingesting campaign costs and ad spend tracking).
● Technical Skills: Advanced SQL, and robust error-handling in production.
● Soft Skills: Ability to work well under time constraints (especially during month-end
financial closings), outstanding communication skills, and a methodical, diagnostic
mindset.

Tools you will work with
Pentaho Kettle (v9.3 Community) · MariaDB · Jenkins · Qlik Sense · SQL

Location: Remote

Your expertise:

• Degree in Statistics / Mathematics or Finance
• SQL knowledge on a good level
• Good theoretical background in math’s and statistic
• Good understanding of predictive analytics
• Experience building visualizations in Tableau or other similar tools
• Experience working with data received from Google Analytics, AdWords, Facebook, etc.
• Understanding of LTV / CAC, Conversion Rate, Cohort analysis, Retention Rate
• Understanding of digital marketing, especially PPC and SEO fields
• Analytical mindset
• Upper-intermediate English (written and spoken)
• Minimum 5 years of experience on similar position
• Python, R knowledge will be a plus

What’s in it for you?

• Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
• Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
• Decent market rate compensation depending on experience and skills
• Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
• Support of personal and professional development
  • coverage of costs of external trainings, conferences, professional literature
  • support of experienced colleagues
  • in-house events and trainings
  • regular knowledge sharing in teams
  • English classes and speaking clubs
• Life-balance support
  • 25 working days of vacation
  • 5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)
  • generous maternity / paternity leave program
• Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it

You will be involved into:

• Provide Product Pod with deep insights regarding all activities
• Support in decision-making
• Building forecasts and prediction models
• Data analysis to detect the reasons of deviations in the main and secondary metrics
• Help maximize revenue by bringing early attention issues or changes in trends related to our products, business practice, processes, finances, and accounting
• Ensure that data is tracked in the proper manner
• Looking for alternative data sources and tools
• Initiate deep digging analysis
• Create visualizations and presenting them to the stakeholders

About the company and project:

ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 17 million domains under management.

Our culture is built on the values that we live every day; the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.

Performance Analyst will become a member of a professional and motivated team. Our main goal is to transform data into knowledge. Performance Analyst will work closely with the Product Team and will help with data analysis, finding patterns, looking for hidden correlations, assist in managing the pricing policy.

Our client is looking for a Middle Data Analyst.

Role Overview:

We’re looking for an experienced Middle Data Analyst to join analytics team in the iGaming industry. You’ll take ownership of complex analytical tasks, drive data- informed decisions across multiple business functions, and serve as a go-to expert for data quality, player behaviour analytics, and reporting. If you have a solid background in gambling analytics and love working with large datasets, we want to hear from you.

Key Responsibilities:

• Design and own end-to-end analytical workflows in Amazon Redshift — complex multi-step SQL: window functions, CTEs, large-scale joins, and performance tuning;
• Conduct deep-dive player behaviour analyses: segmentation, RFM modelling, cohort analysis, LTV forecasting, and churn prediction;
• Analyse A/B test results — interpret statistical significance, evaluate group comparability, identify confounding factors, and deliver clear recommendations to stakeholders;
• Track and analyse iGaming KPIs — GGR, NGR, bonus abuse index, deposit/withdrawal trends, player LTV, and churn — proactively flagging anomalies;
• Integrate and actively apply AI tools into day-to-day analytical work: prompt engineering, AI-assisted SQL generation, automated insight summarisation;
• Translate complex data findings into clear, actionable outputs for non- technical stakeholders via Excel reports and presentations;
• Learn and work in EasyMorph for reporting and data preparation tasks as part of team onboarding.

Required Skills & Experience:

Technical skills:

• 3–4 years of hands-on experience as a Data Analyst in iGaming or online gambling — mandatory;
• Advanced SQL in Amazon Redshift — window functions, CTEs, subqueries, query optimisation, and working with large-scale datasets;
• Experience with BI tools (Power BI, Tableau, Looker, or similar) - working with dashboards and using them to extract insights;
• Proficiency in Excel: advanced pivot tables, vlookups and executive-level reporting;
• Strong command of iGaming KPIs: GGR, NGR, player LTV, churn rate, bonus abuse metrics, deposit/withdrawal volumes;
• Solid understanding of A/B test analysis — interpreting p-values, confidence intervals, and effect sizes; experience evaluating pre-test group balance and flagging randomisation issues;
• Practical use of AI tools in analytical workflows: LLMs for insight generation, AI-assisted querying, prompt engineering for data tasks;
• Strong data quality mindset — ability to sense-check numbers, investigate inconsistencies, and ensure analytical accuracy;
• Clear English communication, written and verbal (upper-intermediate+).

Nice to Have:

• Familiarity with Amazon QuickSight: navigating dashboards, using built-in features (Q / flow), filters, and calculated fields;
• Exposure to EasyMorph or similar ETL/data preparation platforms.

Soft Skills:

• High ownership and autonomy — you manage your tasks end-to-end without hand-holding;
• Structured analytical thinking — you break down ambiguous business questions into clear data problems;
• Proactive communication — flagging anomalies, pushing back on flawed assumptions, and keeping stakeholders aligned;
• Ability to manage multiple priorities and deliver under deadlines in a fast-paced environment;
• Collaborative mindset — comfortable working across teams and supporting junior colleagues.

The company guarantees you the following benefits:

• A positive workplace atmosphere that creates a culture of collaboration and support, making it a place you'll love working in;
• Competitive compensation and regular career development reviews;
• Flexible working hours and remote working options, you'll enjoy the freedom that the company provides;
• A generous vacation and sick leave policy, allowing you to take time off and enjoy a work-life balance;
• Financial assistance for professional development, helping you stay ahead of the curve and love your career path;
• Educational Allowances that give you the opportunity to expand your knowledge and experience;
• You'll have a monthly allowance for personal activities, giving you the opportunity to pursue your interests and hobbies outside of work;
• A comprehensive health insurance plan, depending on your current location;
• Referral program with financial rewards for bringing top talent to the company;
• Engaging in team-building activities and corporate parties.

Interview process:

• HR Interview with the Recruiter;
• 30-minute technical interview;
• 1.5-hour Final interview with the team;
• Final decision.

If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

We are looking for an experienced Product Analyst with a strong iGaming background to analyze product performance, player behavior, acquisition quality, and key business metrics.

The role requires a strong understanding of both product analytics and affiliate traffic economics within Casino and/or Sportsbook.
 

Responsibilities

• Analyze key iGaming metrics: GGR, NGR, LTV, ARPU, Retention, Churn, Conversion, ROI, Payback
• Analyze player behavior, cohorts, segmentation and lifecycle
• Identify bottlenecks and growth opportunities across the registration → deposit → active player funnel
• Conduct deep-dive product analysis and turn data into actionable business recommendations
• Design, evaluate and interpret A/B tests
• Analyze the impact of product changes, bonuses, promotions and new features
• Build and maintain dashboards and automated reporting
• Analyze affiliate traffic performance by partner, source, GEO and acquisition model
• Evaluate traffic quality based on FTD, Deposits, GGR/NGR, LTV, Retention, ROI and Payback
• Analyze CPA, RevShare and Hybrid acquisition models and partner performance
• Identify high- and low-performing traffic sources and opportunities for optimization and scaling
• Work closely with Product, Affiliate, CRM and Marketing teams

Requirements

• 3+ years of experience in Product / Data Analytics
• Hands-on iGaming / Gambling experience is mandatory
• Strong understanding of Casino and/or Sportsbook products and player behavior
• Strong knowledge of SQL
• Experience with Power BI, Tableau, Looker or similar BI tools
• Strong experience with cohort, funnel, retention and LTV analysis
• Practical experience with A/B testing
• Understanding of iGaming affiliate marketing and traffic economics
• Experience analyzing affiliate traffic and partner performance
• Understanding of CPA, RevShare, Hybrid, CAC, ROI and Payback
• Python for data analysis is a strong advantage
• Ability to translate data into clear conclusions and business recommendations

We Offer

• Competitive salary.
• Fully remote position.
• Flexible working hours.
• Opportunity to work with an international iGaming company operating across multiple markets.
• Professional growth in a fast-paced environment.

Candidates without previous iGaming / Gambling experience will not be considered

We are looking for an experienced Senior / Lead Data Analytics Manager to build and lead the analytics function for our Cards & Wallets business.

This is a hands-on role for someone who enjoys working with large-scale transactional data, building analytical infrastructure from the ground up, and turning complex datasets into actionable business insights.

You will work closely with Commercial, Finance, Product, and Operations teams, helping them make data-driven decisions through reliable analytics, dashboards, and reporting.

What You'll Do

Build the Analytics Foundation

• Design and build an end-to-end analytics infrastructure for the Cards & Wallets business.
• Design and maintain analytical data models, data marts, and reporting datasets.
• Build and improve the company's analytical Data Lake.
• Ensure data consistency, quality, and reliability across multiple systems.
• Create a unified customer view across different data sources.

Business & Product Analytics

• Analyze large transactional datasets to identify trends, customer behavior, and business opportunities.
• Build customer segmentation, cohort analysis, retention analysis, and LTV models.
• Analyze transaction behavior across products, BINs, merchants, geographies, and customer segments.
• Identify business patterns and proactively suggest improvements based on data.

BI & Dashboards

• Design and develop business dashboards using Tableau, Power BI, Metabase, or similar BI platforms.
• Build dashboards that become daily decision-making tools for Commercial, Finance, Product, and Operations teams.
• Automate recurring reporting and reduce manual reporting efforts.
• Ensure the accuracy and consistency of analytical reports.

Commercial Analytics

• Support pricing analysis and unit economics through data-driven insights.
• Analyze transaction profitability and business performance.
• Build analytical models to evaluate pricing changes and business scenarios.
• Help commercial teams understand customer behavior and revenue opportunities.

Executive Reporting

• Prepare analytical reports for senior management.
• Transform complex data into clear recommendations and actionable insights.
• Work closely with business stakeholders to answer analytical questions and support strategic decisions.

Build the Analytics Function

• Own the analytics function for the Cards & Wallets direction.
• Prioritize analytical requests from different business teams.
• Help define the future BI architecture and analytics processes.
• As the function grows, participate in building and mentoring the analytics team.

Requirements

• 5+ years of experience in Data Analytics, BI, Product Analytics, or Commercial Analytics.
• Strong SQL skills, including: Window Functions, CTEs, Query optimization, Large transactional datasets.
• Experience building analytical data models and data marts from scratch.
• Experience working with Data Warehouses and/or Data Lakes.
• Hands-on experience with Tableau, Power BI, Metabase, or similar BI platforms.
• Experience designing dashboards that are actively used by business teams.
• Strong analytical thinking with the ability to identify patterns, trends, and business opportunities in large datasets.
• Experience automating reporting and improving analytical processes.
• Ability to communicate analytical findings clearly to both technical and non-technical stakeholders.
• B2+ (C1 preferred).

Nice to Have

• Experience in FinTech, Payments, Banking, Card Issuing, Acquiring, PSP, Digital Wallets, or Neobanking.
• Experience working with transaction-level data.
• Understanding of payment flows and transaction lifecycle.
• Experience with pricing analytics, unit economics, or profitability analysis.
• Experience building alerting systems and automated business monitoring.
• Previous leadership or mentoring experience.

Why Join Us?

• Build the analytics function from the ground up.
• Work directly with Commercial, Finance, Product, and executive leadership.
• Own the analytics architecture and influence business decisions.
• Solve complex analytical challenges using real transaction data.
• Grow into the Head of Analytics for the Cards & Wallets business.