Jobs Data Analyst

We are looking for a Business Data Analyst to join a new B2C iGaming startup focused on the CIS market.

The project is currently at an active launch stage, so we need an analyst who already understands online casino economics, player behavior, and core iGaming metrics and can help build the business and product analytics function from the ground up.

📊 Responsibilities

• Build and develop business and product analytics from scratch
• Analyze key iGaming metrics: GGR, NGR, FTD, Deposits, ARPU, LTV, Retention, Conversion, Churn
• Analyze the player funnel: Registration → FTD → Repeat Deposit → Retention
• Perform cohort analysis and player segmentation
• Identify growth opportunities, anomalies, trends, and reasons behind KPI changes
• Analyze the effectiveness of bonuses, CRM campaigns, promotions, and VIP segments
• Build dashboards and regular management reporting
• Prepare actionable insights and recommendations for Product, Marketing, CRM, Finance, and Management
• Support business decisions with data and ad-hoc analysis

🎯 Must-have

• Hands-on experience in Business / Product / Data Analytics within iGaming
• Direct experience with B2C Online Casino
• Strong understanding of casino economics and metrics such as GGR, NGR, FTD, LTV, Retention, ARPU, Deposits
• Confident SQL skills and experience working with large datasets
• Experience with Power BI, Tableau, Looker, or similar BI tools
• Strong analytical thinking and ability to turn data into clear business conclusions and recommendations

➕ Nice to have

• Experience building analytics, reporting, or BI infrastructure from scratch
• Experience with CIS GEO
• Experience working closely with Product, CRM, Marketing, Finance, or VIP teams in iGaming

💻 Conditions

• Remote
• GEO: CIS
• Industry: iGaming / B2C Online Casino
• Project: new startup / launch stage

This role offers an opportunity to join the project at an early stage, directly influence how analytics is built, and work with data that drives product and business decisions.

Are you passionate about transforming complex datasets into actionable insights that shape strategic decisions? This Senior Data Analyst role offers the chance to work on cutting-edge pricing optimization projects for global retail brands, leveraging advanced analytics to drive measurable business impact.

We at Sigma Software are looking for a Senior Data Analyst to join our Data Analytics and Pricing Optimization team. The role is senior-level, full-time, and based in Ukraine, Europe, with flexibility to collaborate with international teams.

Why join us? You’ll work alongside Data Scientists on innovative pricing experiments, contribute to projects that influence market positioning worldwide, and be part of a company that values innovation, global reach, and professional growth.
CUSTOMER
Our customer is a leading retail technology company specializing in pricing optimization software. They partner with global retailers to enhance profitability and competitiveness through data-driven strategies and advanced pricing models. Known for their innovative approach, they deliver solutions that combine business intelligence with cutting-edge algorithms to maximize value for clients.
PROJECT
The project involves implementing and optimizing a sophisticated pricing platform for large-scale retail operations. You’ll work on aligning platform capabilities with client needs, designing pricing experiments, and ensuring adoption through training and support.

Key Technologies: SQL, Python/R, Power BI, Tableau, Looker, Revionics, DemandTec

Job Description

• Analyze business and pricing processes to identify optimization opportunities
• Conduct discovery sessions to understand client needs and processes
• Recommend improvements based on best practices
• Align platform capabilities with client requirements
• Design and validate pricing experiments with Data Scientists
• Configure pricing platform for optimal client setup
• Deliver user training and ongoing support
• Monitor pricing performance and share insights
• Drive user adoption and recommend strategies to maximize platform value

Qualifications

• 5+ years in pricing analytics, data analysis, or related field
• Strong analytical and problem-solving skills
• Proficiency in Excel/Google Sheets and BI tools (Power BI, Tableau, Looker)
• Advanced SQL skills and proficiency in Python or R
• Understanding of data structures, modeling, and warehousing
• Experience in data cleaning and quality assurance
• Proven delivery of impactful analytics solutions
• Knowledge of market analysis, customer segmentation, and psychological pricing
• Excellent communication and stakeholder management skills
• Upper-Intermediate English or higher

WILL BE A PLUS

• Pricing strategy experience (cost-plus, value-based, competitive models)
• Dynamic pricing and price elasticity analysis
• AI/ML applications in pricing
• Familiarity with pricing intelligence tools
• Experience with retail pricing software
• Knowledge of pricing-related legal restrictions

RedCore is an international business group that creates technological solutions for digital markets. 

Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

Powering Growth from the Core — this is the key mission laid under RedCore’s strong foundation. This is how we consistently stay ahead: by evolving and creating scalable solutions, while remaining committed to open and transparent communication with our partners.

We’re looking for a sharp and driven Senior Data Analyst to join our team!

Requirements:

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

Will be plus

• Experience in iGaming industry.

Responsibilities:

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

Our benefits to you:

• Modern corporate equipment based on macOS or Windows and additional equipment are provided;
• Paid vacations, sick leave, personal events days, days off;
• Referral program — enjoy cooperation with your colleagues and get the bonus;
• Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences;
• Rewards program for mentoring and coaching colleagues;
• In-house Travel Service;
• Multiple internal activities;
• Other benefits could be added based on your location.

BI Engineer — Power BI & Microsoft Fabric
We are looking for 2–3 BI Engineers with hands-on experience in Power BI and Microsoft Fabric to join our team.

Requirements:
3+ years of experience in BI / Data Analytics.
Strong hands-on experience with Power BI, including dashboards, reports, DAX and semantic data models.
Experience with Microsoft Fabric, including Data Factory, OneLake and Delta tables.
Understanding of ETL/data pipelines and data warehousing.
Experience with Spark and notebooks is a plus.
Good English and strong communication skills.

Key responsibilities:
Build and maintain Power BI dashboards and reports.
Develop and optimize data models and DAX measures.
Build and manage data pipelines in Microsoft Fabric.
Work with OneLake, Delta tables and Fabric data workloads.
Ensure data quality, performance and accessibility.

About us:
Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team comprises over 350 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team.

Our mission:
Become a stepping stone on our customers’ journeys of self-improvement.

Our values:

• Deliver what matters
• Respect and support others
• Initiate and own
• Voiceopenly
• Execute with quality

If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com.

About team:

You’ll be joining a small product team inside Gismart building a new direction in the wellness space. Right now that’s a creative producer, a motion designer, a product designer, a PMM, two UA managers and a product manager — everyone works in one loop, with no hand-offs between departments and no long approval chains. First tests are already running: a hypothesis, a creative and a live launch can all happen within the same week, and decisions get made where the idea comes from. We’re starting from a blank page, so there’s a lot of room ahead — for the product and for the people growing it.

Responsibilities:

• Engage with key stakeholders (product managers, marketers) to identify needs and shape the analytics strategy.
• Translate stakeholders' business questions into concrete metrics and analytical tasks; deliver decisions, not raw numbers.
• Build and maintain dashboards, reports, and key metrics to support data-driven decision-making.
• Build and validate LTV predictions for the web funnel, including early/predicted LTV on short cohort history. 
• Design event taxonomy and Amplitude dashboards for specific PMM, PM, and UAM requests. 
• Analyze the web funnel: diagnose drop-offs between steps, assess the impact of changes on conversion and monetization. 
• Compute product unit economics: ARPU, retention, payback, and ROAS tied to UA data.

Requirements:

• 1.5+ years as a Product Analyst
• Strong SQL: cohort analysis, retention, revenue aggregations. 
• Hands-on LTV/pLTV experience: understands the methods (cohort extrapolation, survival, ML regression), their limitations with small data, and how to validate predictions. 
• Amplitude: dashboard building, event taxonomy. 
• Understanding of mobile/web subscription-product metrics and UA logic (CPI, ROAS, ARPU, payback). 
• A/B testing methodology.
• Hands-on experience with BI tools such as Tableau or Power BI.
• Effective communication and presentation skills to convey analysis results clearly and compellingly.

Would be a plus:

• Python skills (pandas, data visualization, statistics) for data manipulation and analysis.
• Experience with MMP data (AppsFlyer/Adjust).
• Hands-on experience with subscription products.
• Data engineering.
• Direct experience working with a UA team.

Employee Benefits:

• Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs.
• Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy, autonomous hub) and 50% compensation for coworking spaces worldwide to ensure everyone has a comfortable and inspiring workspace.
• Free Office Lunches: We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday.
• Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year.
• 100% Sick Leave Compensation
• Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, and therapy costs.
• Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools.
• Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses.
• Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart.
• Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.

🚀 Join a fast-growing international iGaming company with 1,000+ professionals and a portfolio of successful projects operating across Tier 1-3 markets worldwide.
 

We're looking for a BI Analyst to build and develop reporting, create interactive dashboards, and help teams make data-driven decisions. You'll work with product and business teams, analyze key metrics, and contribute to the development of a new product.
 

Responsibilities

• Build reports and dashboards in Power BI.
• Develop reporting for new products from scratch.
• Maintain and improve existing reports and dashboards.
• Analyze product performance and identify useful insights.
• Create dashboards using Power BI, Looker, and/or Tableau.
• Work closely with business teams to understand reporting needs.
   

Requirements

• Experience with Power BI.
• Experience building reports and dashboards.
• Experience maintaining and improving reporting solutions.
• Understanding of the iGaming industry.
• Strong analytical and problem-solving skills.
• Ability to explain complex data in a simple way.
• Experience with Looker and/or Tableau.
• Experience with predictive analytics will be a plus.
   

We Offer

• Fully remote work
• Competitive salary package
• Paid vacation and sick leave
• Professional onboarding and continuous support
• Transparent processes and clear business goals
• Career growth opportunities within a rapidly growing international company
• Dynamic, ambitious, and supportive team environment
• Access to internal expertise and knowledge-sharing initiatives
• Continuous professional development and learning opportunities
• Opportunity to directly influence product strategy and business performance
   

Ready to grow your BI career and work with real product data? We'd love to hear from you.

Our client is leading supplier of sports analytics to its clients. Using cutting edge Computer Vision and AI/ML technologies, the company provides outstanding real-time sports performance analysis. As an analyst you will be responsible for providing quality statistics for ice hockey games using client's proprietary tools.

Job Description

- Confident PC user (Windows)
- Basic English
- Extensive internet research skills
- Creative problem-solving and analysis skills
- Team player with good interpersonal and solution-oriented attitude
- Readiness to work in shifts (mandatory)
- Stress-resistance
- Ice Hockey knowledge is very beneficial, actual hockey playing skills are not required
- Video gaming experience also useful
 

Job Responsibilities

- Analyze ice-hockey games and record key events as they occur such as successful pass, penetration of offensive zone, faceoff win, etc. (40+ total event types)
- Check the quality of content and do an analysis of quality data
- Work on various data tools and generate information by doing online research
- Provide inputs/content with high quality
- Ability to identify and verify source authenticity
- Solve complex problems in time-bound and effective manner
- Ability to analyze data by doing secondary research
 

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

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

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

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

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

Requirements

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

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

Responsibilities

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

Work conditions

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

Who Are We?

Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing.

We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously.

With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting

What We're Looking For

We are looking for a Senior Marketing Analyst focused on measurement and signal engineering — ensuring Meta, Google Ads, TikTok, and other ad platforms receive accurate, timely, and high-quality conversion signals. You will work closely with Marketing, Product, Data Engineering, and ad platform representatives to improve campaign measurement and optimization.

Main Responsibilities

• Marketing & signal optimization — Partner with Marketing and ad network representatives to improve conversion signals, assess product and ad platform changes, and investigate signal-related performance drops.
• Ad network S2S integrations — Design and maintain conversion pipelines for ad networks with support from Data Engineering team. Ensure timely, deduplicated, and high-quality signal delivery.
• New ad platform onboarding — Set up and launch integrations with new ad platforms, covering conversion signal delivery and reporting data feeds for Marketing
• Pixel & GTM management — Manage GTM releases across multiple web properties and implement pixels and conversion events for ad networks.
• Signal quality & monitoring — Monitor Meta EMQ, pixel and CAPI diagnostics, deduplication, Google Ads conversion diagnostics, Enhanced Conversions, click ID capture, and offline conversion uploads. Build monitoring and alerts for errors, latency, coverage, and discrepancies.
• UTM & Attribution — Maintain UTM parameters and campaign naming conventions and ensure correct attribution.
• Reporting & analytics — Build ad-hoc and monitoring reports for conversion values, bidding performance, signal delivery, and funnel metrics. Define Signal Engineering metrics.

• Marketing datasets — Build and maintain custom marketing datasets

   

Required Skills and Experience

• 3+ years of experience in marketing analytics, digital measurement, ad tech, or tracking
• Advanced SQL (window functions, CTEs, performance-aware querying, data quality checks) and experience working with large data warehouses
• Hands-on experience with Google Tag Manager
• Experience with visualization tools (Tableau, Looker, or similar) — Tableau is our primary BI tool
• Proven experience partnering with performance marketing / UA stakeholders and communicating insights to non-technical audiences
• Understanding of browser-side and server-side tracking
• Hands-on knowledge of at least one ad platform, including campaign types, bidding strategies, and conversion setup
• Solid understanding of marketing metrics
• Understanding of GDPR-compliant tracking approaches

• Ability to communicate effectively in English (written + spoken)

   

Nice to Have

• Understanding of mobile attribution & tracking, including SKAdNetwork (SKAN), and experience with an MMP such as AppsFlyer, Adjust, or similar.
• Experience with incrementality and holdout testing (e.g. Meta Conversion Lift, Google Ads Conversion Lift, geo-experiments) to validate the impact of signal changes on campaign performance
• Experience with Meta Conversions API (CAPI) or Google Data Manager API.
• Experience with LTV modeling and calculations, preferably for subscription-based products.

• Experience with Airflow, dbt, or similar data tools.

   

Candidate journey

⭕️ Recruiter call --> ⭕️ Meet a team member --> ⭕️ Meet the Leadership team --> ⭕️ Skills assessment

Locations: Ukraine; Armenia; Bulgaria; Cyprus; Estonia; Hungary; Latvia; Lithuania; Romania

Performa is an international HR agency specializing in connecting top talent with leading companies across the iGaming, IT, and Marketing industries. We help businesses scale their teams and support professionals in finding opportunities where they can unlock their full potential.

Our client is a product-driven iGaming startup developing a new White Label product for a Tier-1 market. The team is currently being built around this new project, with a small core team already in place. The product is in the final stage of preparation for launch.

We are looking for a Head of Analytics who will build and develop the company’s analytics function and establish a strong data-driven approach to product and business decision-making.

Key Responsibilities

• Build and develop the company’s analytics function.
• Establish a system of metrics, reporting, and dashboards.
• Analyze product and business performance, identify growth opportunities, and provide actionable insights.
• Work with large volumes of data and help the business make informed, data-driven decisions.
• Collaborate closely with Product, Marketing, CRM, Finance, and other teams.
• Develop and improve analytics processes across the company.

• Manage and develop the analytics team as needed.

   

Requirements

• Mandatory experience in iGaming.
• Proven experience in a Senior, Lead, or Head of Analytics role.
• Strong understanding of product analytics and business metrics.
• Experience building and developing analytics processes.

• Strong leadership skills and a systematic approach to work.

   

What We Offer

• Office-based position in Limassol or fully remote.
• Competitive compensation paid in USDT.
• Paid vacation and sick leave.
• Opportunity to join an iGaming product at the pre-launch stage and directly contribute to its development.
• High level of ownership and strategic influence.

🏢 About The Company
Physician's Choice started with the simple idea that better health starts with the gut. In just 8 years, we have become the #1 Probiotic Brand in the US. Our products are available in Walmart, Target, CVS, Sam's Club, Amazon, TikTok Shop, and many other retailers across the United States.
Our mission is to empower everybody to make confident wellness choices, guided by physician expertise and validated by real results. Join our passionate team and help shape the future of one of America's fastest-growing wellness brands.

💼 About The Role
Physician's Choice is looking for a passionate, analytical, and results-driven Retail Planning Manager to join us on our mission of becoming the #1 Gut Health Brand in the US.
As our Retail Planning Manager, you will own inventory planning and retail demand execution across our rapidly expanding omnichannel business. You will ensure the right inventory is available at the right place, at the right time, while balancing customer service, inventory investment, production capacity, and business priorities.

This role partners closely with Sales, Amazon, Supply Planning, Logistics, Operations, Finance, and our contract manufacturing partners. You'll translate customer demand into executable inventory plans supporting both retail partners and ecommerce channels.

Requirements
🎓 Bachelor's degree in Supply Chain, Business, Operations, Economics, Finance, Engineering, or a related field.
📈 5+ years of experience in Retail Planning, Demand Planning, Inventory Planning, Supply Planning, or within the CPG industry.
🛒 Experience supporting large national retailers such as Walmart, Target, Sam's Club, Costco, CVS, Walgreens, Kroger, or similar accounts.
📦 Strong understanding of retail replenishment, demand forecasting, inventory management, and S&OP (Sales & Operations Planning).
💼 Experience working in omnichannel businesses supporting both Retail and Ecommerce operations is preferred.
📊 Advanced Microsoft Excel skills, including data analysis and reporting.
⚙️ Experience with ERP systems, planning software, and BI tools is preferred.
🤝 Excellent analytical, communication, and cross-functional collaboration skills.
🌍 Ukrainian or Russian language skills are a plus, but not required.

What You'll Do
📦 Retail Demand & Inventory Planning
• Own inventory planning and forecasting across key retail partners (Walmart, Sam's Club, Target, CVS, HEB, Rite Aid, iHerb, Vitacost, etc.).
• Maintain healthy inventory levels while minimizing stockouts and excess inventory.
• Align production plans with customer demand and inventory needs.

🛒 Omnichannel Inventory Strategy
• Manage inventory allocation across Retail, Amazon, Walmart Marketplace, TikTok Shop, DTC, and Wholesale.
• Optimize inventory distribution to maximize sales and profitability.
• Recommend allocation strategies during supply constraints.

🎯 Retail Execution & Customer Readiness
• Ensure inventory readiness for launches, promotions, and seasonal programs.
• Monitor retailer service metrics, scorecards, and inventory performance.
• Identify supply risks and implement mitigation plans.

📊 Sales & Operations Planning (S&OP)
• Lead demand planning inputs for the monthly S&OP process.
• Present forecasts, risks, and recommendations to leadership.
• Drive alignment across Sales, Supply Chain, Operations, and Finance.

📈 Forecasting & Analytics
• Track key KPIs including forecast accuracy, inventory turns, service levels, and OTIF.
• Analyze sales trends, demand drivers, and forecast performance.
• Build reports, dashboards, and planning models to support decision-making.

🤝 Cross-Functional Collaboration
• Partner with Sales, Marketing, Finance, Operations, Logistics, and Supply Planning teams.
• Coordinate with manufacturers, warehouses, and logistics partners.
• Communicate inventory risks and recovery plans across stakeholders.

⚡ Continuous Improvement
• Enhance forecasting processes and planning methodologies.
• Develop SOPs, reporting tools, and dashboards.
• Support ERP and planning system improvements.

Benefits:
🌍 Work for an international company focused on the US market
⏰ Timely salary payments
💰 Bonuses
🎓 Courses and training at the company’s expense
🏖 Paid vacations, sick days, holidays off days
📈 Possibility of developing your career and mastering adjust professional fields
🧾 Official employment
🛒 Free access to company products
🧠 Corporate psychologist services
🚀 Interesting project and continuous growth every day


🚀 Ready to Make an Impact?
If you're a data-driven Retail Planning professional who thrives in a fast-paced consumer products environment and enjoys turning complex inventory challenges into scalable solutions, we'd love to hear from you.

Reporting and Analytics BI team covers company-wide corporate reporting needs. Interacting with internal clients (Luxoft Executive, Engineering and Corporate functions management teams) we build Tableau reporting and data analysis covering different internal Luxoft processes and practices.
Our work is not just to produce dashboards and code, but, together with the business, dive into the essence of key processes and create an advantage for the company in the global market using data-driven decision making. The results energize us to set the bar higher and build best-in-class BI Project.
Our team is around 20 people and looking to expand. We use Tableau / Power BI as the main dashboarding tools and connect MS SQL database where we store most of the data

• Responsibilities:

  BI Reports Development
  • Exploring the data from corporate systems and development the layer of reliable data sources together with the DWH team
  • Design & development of outstanding dashboards and performing UAT with a customer
  • Taking care of technical documentation that really helps customers to understand reports and allows the team to manage the content in efficient way
  • Release preparation and presenting results to end-users
  Project management
  • Take part in regular syncs with customers on backlog prioritization, blockers, and fast-tracks resolving
  • Take part in collecting and merging requirements from different customer groups
  Development of data & analytics services
  • Drive companywide projects like data catalog, self-service BI, glossary etc.
  • Work on BI efficiency initiatives like access management and design excellence
  • BI Governance - monitoring of background tasks (extracts, subscriptions, etc.), reports adoption & user's behavior

• Mandatory Skills Description:

  Analyst-engineer-dashboardologist-designer - all qualities are presented and one is pronounced
  2+ year hands on experience with one of BI tools such as Tableau, Qlik, Power BI, etc.
  Strong skills in SQL
  Bachelor's Degree or higher education level
  Strong data analysis skills
  Good presentation and data visualization skills
  Great attention to details, structured and analytical approach, critical and logical thinking

We're looking for an Analytics Lead who can bring structure, reliability, and scalability to how we work with data. You'll work across multiple departments, improve our analytics infrastructure, and help build systems that support smarter decisions every day. If your instinct isn't "we should just use Tableau/Power BI," this is probably the role for you 🚀🏆

YOUR QUEST-LINE:

• Own the day-to-day operations of our internal analytics platform;
• Manage small analytics team: run regular 1:1s, performance reviews, distribute tasks based on priorities, and help the team navigate cross-team collaboration smoothly;
• Stay hands-on with data engineering: review pipelines, drive adoption of incremental data refresh, and push toward near-real-time updates for our key tables;
• Design and maintain a data architecture that balances speed and depth: fast, aggregated reporting alongside detailed, granular data for deeper analysis;
• Drive product analytics: user segmentation, retention/engagement patterns, and push hypothesis-driven research instead of purely status-check dashboards;
• Grow our AI-powered analytics platform, from automated reporting to a future conversational data interface;
• Collaborate with the product, development, finance, anti-fraud, support, and marketing teams to ensure their dashboards remain up-to-date and their decisions are data-driven.

👩‍🚀 YOUR IN-GAME SKIN:

• 5+ years of experience in analytics roles within product tech companies;
• 2+ years of experience managing an analytics team while staying hands-on;
• Strong SQL and solid Python, enough to read and write pipeline logic;
• Real understanding of data engineering fundamentals (ETL/ELT, BigQuery, bronze/silver/gold layering);
• Genuine enthusiasm and hands-on experience with AI-assisted workflows;
• Comfortable working autonomously, turning loose business goals into a concrete backlog of boards, metrics, and experiments;
• Understanding of analytics infrastructure, event tracking, and data consistency principles;
• Experience partnering closely with engineering and product teams on analytics implementation;
• Ability to structure ambiguous requests into clear analytical solutions and priorities;
• Strong communication skills and ability to work cross-functionally with different departments;
• At least an intermediate level of English.

🚀 WILL BE YOUR BOOST:

• Familiarity with the Steam trading ecosystem or skins markets (CS2, Dota2, Rust);
• Domain experience in high-load e-commerce, Fintech, or iGaming projects.

🥷 YOUR POWER-UPS SOURCE:

• Spontaneous weekend from the CEO;
• Support for professional development, including events (we went on a MAJOR trip to Copenhagen, for example), certifications, and educational materials;
• Start working at a time that’s comfortable for you;
• People Partner who will always support you in word and deed;
• Anniversary and performance bonuses;
• Input on project direction in a bureaucracy-free environment;
• Regular performance reviews and personal feedback sessions;
• 20 paid vacation days and 7 sick leave days;
• Assisting with the accounting and tax management for individual entrepreneurs;
• English language and Well-being benefit — so that you can improve your mental health the way you want;
• No time tracking;
• We purchase CHARGING STATIONS for our spacers;
• We help Ukraine: every month the company supports AFU and transfers donations for ammunition and supplies.

If you read everything carefully and exclaimed: “Oh, yeah, I’m good at everything and I want to do cool things together!”, then we are already looking forward to your resume!

Send them as soon as possible! 🚀

About OWOX

For 20+ years we've built data products for people who need an answer, not another dashboard. OWOX Data Marts is the only zero-hallucination analytics platform — your team defines what's trustworthy, and everyone else, up to the CEO, just asks their business a question and trusts the answer.

Our mission is simple: make every number in the company trustworthy — and one question away. We help teams make better decisions with data they can trust — not data they have to reconcile, re-export, or ask someone else to pull.

✓ Control for the data team — analysts define trusted logic once (metrics, joins, governance) and publish it as a reusable Data Mart library.

✓ Freedom for everyone else, up to the CEO — self-serve in the tools you already use: Google Sheets, Looker Studio, and now your own AI chat via MCP.

✓ Trust in every number — the same analyst-approved logic across every report, dashboard, and AI answer. AI narrates; governed SQL computes. Zero hallucinations.

We're open-source, analyst-controlled, and already trusted by 170K+ users across 370K+ Data Marts delivered.

About the Role

At OWOX, we help companies turn fragmented business data into trusted models they can use for reporting, decision-making, and AI-powered analysis.

We’re looking for a Data Analyst to work on client projects across e-commerce, finance, SaaS, and other businesses that generate revenue online. You’ll learn how each business works, translate its questions into data logic, and build models that produce reliable answers.

Your focus will be data modeling, SQL, reporting, and complex analytical challenges. Projects may include marketing attribution, funnel and cohort analysis, customer and product analytics, revenue, profitability, and unit economics.

This is a client-facing role for someone who is curious, precise, and comfortable taking ownership. You should be able to ask the right questions, challenge unclear requirements, and explain technical decisions in business language.

What You’ll Do

• Work with clients to translate business goals and questions into clear analytical requirements.
• Design and maintain scalable data models for marketing, sales, product, finance, and customer analytics.
• Write, review, and optimize complex SQL transformations in cloud data warehouses.
• Combine data from multiple business systems and define reliable model rules: joins, identity definitions, deduplication, and metric calculation.
• Build reusable datasets and data marts for dashboards, spreadsheets, recurring reports, and AI assistants.
• Create and maintain reporting in Looker Studio, Power BI, Tableau, or similar BI tools.
• Solve complex analytical problems, including multi-touch marketing attribution, funnel analysis, cohorts, LTV, unit economics, and profitability.
• Validate data quality, investigate discrepancies, and make sure metrics remain consistent across reporting layers.
• Document business logic, assumptions, data definitions, and model structure.
• Present findings and recommendations clearly to client stakeholders and collaborate with project managers, engineers, and other analysts.

What You’ll Bring

Must-Have Skills

• Strong SQL skills and hands-on experience building analytical data models.
• Experience with a cloud data warehouse, like BigQuery.
• Hands-on experience with dbt, Dataform, or a similar data transformation framework.
• Solid understanding of dimensional modeling, fact and dimension tables, joins, and aggregations.
• Experience preparing data for BI and reporting tools such as Looker Studio, Power BI, Tableau, or similar platforms.
• Ability to turn ambiguous business questions into robust data logic and clear deliverables.
• Experience working with marketing, commercial, product, or financial data.
• Strong analytical thinking and attention to data quality.
• Clear written and spoken English for direct communication with clients.
• Proactive ownership — you don’t just execute tasks; you think through the business outcome.

Nice-to-Have

• Experience with marketing attribution, cohort analysis, LTV, unit economics, or profitability models.
• Domain experience in e-commerce, finance, SaaS, or another online business.
• Familiarity with GA4, advertising platforms, CRM systems, and payment or order data.
• Experience in a client-facing analytics, consulting, or agency role.

What We Offer

• Opportunities for professional growth and continuous learning.
• Сompetitive compensation package commensurate with experience.
• A smart and friendly team, where ownership, and collaboration are genuinely valued.
• Flexible working hours and a remote-friendly culture.

Send your CV and become part of the OWOX 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.