Jobs Data Analyst

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.

Project Description:

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

Nice-to-Have Skills Description:

Practical experience with other BI tools such as Qlik, Power BI, etc.

We are looking for a meticulous and analytical Pre-Payroll Specialist to ensure accurate, transparent, and automated reporting. In this role, you will play a key part in detecting anomalies and systemic fraud, ensuring full compliance with international labor laws, and delivering zero-error data to our Pre-Payroll and Accounting teams.

Responsibilities

• Daily monitor logs and system activity to ensure alignment with our policies.
• Conduct regular audits and behavioral pattern analysis to detect potential fraud.
• Audit and verify all logged overtime, night shifts, and offset balances prior to payout approval
• Timely prepare, format, and deliver clean, audited reports (worked hours, overtimes, adjustments) to the accounting team.
• Configure and maintain internal system logic, including work schedules, global holiday calendars, time-rounding rules, and approval policies.
• Monitor and enforce compliance with regional labor laws regarding maximum working hours, mandatory breaks, and overtime limits across all operating hubs.
• Resolve employee and manager support tickets, system technical glitches, and policy guidelines within defined SLAs.

Requirements

• At least 1 year of hands-on experience in Pre-Payroll administration, HR operations, internal audit, or payroll support.
• Proficiency in Excel / Google Sheets (pivot tables, complex formulas, data validation).
• Proven experience managing HRIS and ticketing systems (e.g., PeopleForce, Jira).
• Strong background in data analytics, ticket management, and operating within strict SLA baselines.
• Bachelor’s degree in Business Administration, Economics, Human Resources, Information Systems, Applied Mathematics, or a related field.
• Intermediate level of English (written and spoken).
• Extreme attention to detail, analytical mindset, and strict adherence to confidentiality and ethical standards.
• Background in internal audit, fraud detection, or cross-border labor law compliance will be a plus.

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)

Kernel — the world's largest producer and exporter of sunflower oil and a key supplier of agricultural products from the Black Sea region to global markets — is looking for a Financial Modeling Engineer to join our FP&A team.

This role sits at the intersection of financial modeling, FP&A, and AI. You'll own the financial models and forecasts that drive management decision-making, while building the next generation of FP&A processes — where AI handles the routine work, not people.

We're looking for someone who already builds with AI and wants to go further: deepening these skills and applying them at scale in a large business.

What you'll do:

• Develop and maintain financial models forecasting performance across business divisions
• Run scenario analysis and sensitivity testing on key assumptions
• Analyze investment projects and prepare materials for investment decisions
• Build AI-powered solutions (prompts, skills, agents) for FP&A processes — forecasting, scenario modeling, variance analysis, commentary generation
• Turn dashboards and reports into actionable insights for leadership
• Distill large volumes of analytics into decision-ready formats
• Identify manual, repetitive FP&A processes and automate them end-to-end — tracking impact through hours saved, faster reporting, and fewer errors

What we're looking for:

• 3+ years of experience in financial modeling and investment analysis
• Advanced Excel skills — building structured, scalable financial models
• CFA Level 1 (minimum, completed)
• Experience with Power BI and Power Query for data transformation and visualization
• Strong motivation to advance AI adoption in financial modeling and FP&A
• Ability to validate AI-generated outputs for accuracy against source data
• Experience with at least one low-code automation platform (Power Automate, n8n, Zapier)

Nice to have:

• Daily hands-on use of AI assistants (Claude, ChatGPT) in your workflow
• Experience building AI agents or automations deployed in real business processes
• Experience connecting AI to internal systems via MCP
• Background in Big 4, consulting, or investment banking
• CFA Level 2–3 completed

What we offer:

• Official employment
• Competitive salary with regular reviews and clearly defined bonus terms
• Draft exemption (military reservation) for employees
• Free training and professional development
• Downtown office with a shelter
• Medical insurance

#Hiring #FP&A #FinancialModeling #AI #Kernel #JobOpening

We are looking for a Marketing Analyst (Web Acquisition). Our Analytics team is looking for someone to take ownership of how we measure, understand, and improve paid traffic across our web products. You will analyze the performance of acquisition campaigns, dig into traffic quality and monetization, and turn raw data into dashboards and recommendations that our marketing and User Acquisition teams act on daily. It's a hands-on role for someone who treats SQL, BI, and Python as everyday tools, is comfortable testing hypotheses alongside performance marketers, and wants their analysis to directly shape how we scale acquisition across millions of users in Tier-1 and international markets.
 

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

In this role, you will

• Analyze the performance of advertising campaigns
• Search for growth points in marketing metrics
• Build and automate marketing dashboards
• Analyze the quality of acquired traffic and its monetization
• Develop recommendations for the marketing team
• Test hypotheses on ad campaign optimization together with the User Acquisition team

• Draw conclusions and propose solutions that improve traffic-buying efficiency and marketing ROI

   

It's all about you

• 2+ years of experience in marketing or product analytics
• Strong SQL skills
• Hands-on experience with BI tools (Tableau or similar)
• Solid understanding of statistics
• Experience with Python
• Understanding of web attribution and performance marketing
• Experience collaborating with User Acquisition teams and supporting data-driven decisions
• Strong analytical thinking and attention to detail
• Ability to identify root causes of changes, not just describe the numbers
• Ability to build and defend clear business conclusions and recommendations
• Proactive mindset and strong communication skills

Would be a plus

• Experience with A/B testing
• Experience using AI tools such as Claude in your analytical work

What we offer

Care and support:

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

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule
• Modern equipment or depreciation of your own tools

Investment in your future:

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

Hiring process

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

About us

Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/

About the role

We’re looking for a Lead Billing Data Analyst (Billing, Payments & Subscription Analytics) to own the data strategy behind our subscription billing operations. This is a hands-on leadership role: you’ll build analyses and pipelines that improve billing performance, while also managing and mentoring a team of analysts.

Key Responsibilities

Analytics & technical work

• Monitor, analyze, and report on billing and support performance metrics (payments, renewals, refunds, disputes/chargebacks), and surface emerging trends.
• Build and maintain data pipelines that deliver accurate, timely, and reliable billing data.
• Apply statistical methods to model scenarios, run “what-if” analyses, and anticipate financial risk.
• Design and run A/B tests and experiments to evaluate billing and support initiatives.
• Analyze the impact of product, marketing, and pricing changes on billing outcomes, risk behavior, and customer support metrics.
• Build and maintain dashboards and visual reporting that provide clear, real-time visibility into billing health and support performance.
• Turn insights into recommendations that reduce disputes, churn, and operational inefficiencies.
• Document analyses, workflows, definitions, and data logic to ensure clarity, reproducibility, and consistency.

Leadership & collaboration

• Lead, mentor, and grow a team of data analysts: set expectations, coach on methodology, and ensure high-quality output.
• Own the team’s intake and prioritization process; manage task flow and delivery timelines against business needs.
• Uplevel the team’s billing domain knowledge and analytical/technical skills.
• Partner cross-functionally with Billing, Support, Finance, Product, and Marketing to align metrics, definitions, and processes with risk-mitigation goals.

Qualifications

• Deep subscription billing expertise: substantial experience with payments, renewals, refunds, disputes/chargebacks/TC40 in a recurring-revenue business (non-negotiable).
• Advanced SQL: complex joins, window functions, incremental logic, and performance-aware query writing.
• Data visualization: proficiency with Omni, Tableau, Power BI, or similar tools to build dashboards and communicate insights clearly.
• People leadership: experience setting priorities, distributing work, reviewing output, and being accountable for a team’s results.
• Statistical & analytical rigor: forecasting, experiment design, and translating ambiguous business questions into structured analysis.
• Billing platforms / processors: familiarity with tools such as Stripe, Braintree, Nuvei, or similar.
• Strong communication: ability to explain complex findings to both technical and non-technical stakeholders.
• Cross-functional collaboration: track record of influencing decisions with data across multiple departments.

Nice to have

• Python and/or modern analytics tooling (dbt, Airflow, or similar).
• Experience building and maintaining ETL/ELT pipelines for billing or financial data.
• Risk analysis or fraud-adjacent experience in billing contexts.
• Advanced visualization techniques (cohorts, funnels, anomaly detection dashboards).

Location

Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.

Benefits

Discover the perks of being part of our vibrant team! We offer:

• Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
• Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
• Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
• Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
• Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1tzxGX4Uu7Ts_HCLFXESKLnKaaBfVCPf1f9AYZPrkjJM/preview?tab=t.0

Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!

Interview Process

After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:

• Recruiter Screening (40 minutes)
• Technical Interview (90 minutes)
• Final Interview (60 minutes)

Life at Ruby Labs

At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.

This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.

Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.

Stay Group is an innovative marketing company building and scaling products in the iGaming and entertainment industry.

We are looking for a Product Analyst who will play a key role in driving product and business decisions through data.

This role sits at the intersection of product, marketing, and analytics, helping teams understand performance, identify growth opportunities, and make data-driven decisions.
 

Requirements:

• 3+ years of experience as a Data Analyst, Product Analyst, or Business Analyst.
• Strong ownership mindset with the ability to independently drive analysis from request to business impact.
• Advanced SQL skills (joins, CTEs, window functions, query optimization).
• Experience with BI tools such as Tableau, Power BI, Looker, or similar.
• Proficiency in Python (Pandas, APIs, automation scripts).
• Experience working with Data Warehouses (BigQuery, ClickHouse, Snowflake, or similar).
• Strong understanding of product analytics, including funnels, retention, and cohort analysis.
• Experience working with marketing metrics such as CAC, LTV, ROMI, and attribution.
• Hands-on experience designing and evaluating A/B tests using statistical methods.

Responsibilities:

Data & Analytics

• Extract, validate, and maintain high-quality data from multiple sources.
• Conduct deep-dive analyses to identify trends, patterns, risks, and growth opportunities.
• Build and maintain dashboards and visualizations for product and business teams.

Product & Marketing Analysis

• Analyze product funnels, user behavior, retention, and engagement metrics.
• Evaluate marketing performance across channels, campaigns, and budgets.
• Work with key business metrics, including CAC, LTV, ROMI, attribution, and cohort analysis.

Reporting & Insights

• Prepare regular reports on product and business performance.
• Provide actionable insights and data-driven recommendations.
• Support stakeholders with analytical findings to enable informed business decisions.

Automation & Optimization

• Automate reporting processes and recurring analytical tasks.
• Improve reporting systems, data pipelines, and analytical workflows.
• Increase operational efficiency by reducing manual reporting and analysis.

Cross-functional Collaboration

• Partner closely with Product, Marketing, and Business teams.
• Translate business requirements into analytical solutions.
• Support product development and strategic initiatives through data insights.

Additional Responsibilities

• Analyze partner network performance and identify growth opportunities.
• Measure the impact of product changes before and after releases.
• Monitor payment-related metrics, identify anomalies, and investigate performance issues.
   

Benefits:

• Freedom to choose where to work: work from anywhere in the world with the freedom of remote options.
• Flexibility: enjoy flexible working hours that let you balance your personal and professional life while staying focused on delivering great results.
• Corporate English speaking club: improve your English proficiency with regular practice and expert guidance.
• A Culture That Cares: thrive in a friendly environment where a strong corporate culture builds connections, drives innovation, and makes you feel truly valued.
• Accelerate Your Growth: seize career advancement opportunities in a rapidly expanding marketing company. As the company scales, so will your professional journey.

Fozzy Group is one of the largest trade industrial groups in Ukraine and one of the leading Ukrainian retailers, with over 700 outlets all around the country. It is also engaged in e-commerce, food processing & production, agricultural business, parcel delivery, logistics, and banking.   
 

Job Description: 

Fozzy Group is building a next-generation Customer Value Management (CVM) Decision Support System that  lives inside our app's gamified experience layer. Instead of traditional CRM triggers alone, engagement and retention are driven through game mechanics – achievement chains, progress bars, and personalized quests – and we need someone who can turn those mechanics into measurable, data-driven strategy. The project focuses on two major streams: 

• Engagement Growth: Driving gamification adoption, modeling guest lifecycle, and applying proactive strategies to increase purchase frequency and deepen engagement. 

• Retention & Loyalty Management: Early churn detection, loyalty preservation, and predictive modeling of customer attrition to implement timely and personalized interventions that reduce churn risk. 

You'll work closely with product, game-mechanic designers, CVM, and the wider Data Science team, and your models will directly shape decisions about quest design, reward economics, and lifecycle communication. 

Job Responsibilities 

• Model customer lifecycle stages inside the gamified platform – from first touch through onboarding to habitual engagement – and identifying where drop-off happens

• Design and A/B test game mechanics meant to convert guests into active app users (first-order quests, achievement chains, milestone rewards) 

• Automate customer targeting and personalized offer selection across CVM campaigns 

• Build next-best-quest / next-best-action logic to personalize each customer's path through the game 

• Design predictive triggers for retention interventions and measure whether they're actually incremental or just rewarding people who'd have stayed anyway 

• Build and maintain SQL pipelines to aggregate, clean, and transform customer and transactional data from multiple sources 

• Extensively utilize SQL and dbt to design, develop, and optimize data models within our high-volume data platform, effectively managing and processing multi-billion-row datasets 

• Develop data preparation pipelines and contribute to deploying ML models for churn prediction, segmentation, and uplift modeling. 
 

Requirements 

• Bachelor’s Degree in Mathematics / Quantitative Economics / Econometrics / Statistics / Computer Sciences / Finance 

• At least 2 years of working experience on Data Analytics 

• Strong mathematical background in Linear algebra, Probability, Statistics & Optimization Techniques 

• Solid SQL and Python 

• Experience with BI tools (Power BI, Tableau, Looker) 

• Knowledge of statistical methods (Hypothesis testing, A/B tests, PCA) 

• Ability to work independently and structure complex problems into clear solutions. 
 

Preferred 

• Experience with Airflow, Docker, or Kubernetes for Data Orchestration 

• Spark/Trino and Lakehouse experience is a plus 

• Applied knowledge of Machine Learning (e.g., Decision Trees, Random Forest, and Boosting). 
 

What We Offer 

• Competitive salary; 

• Professional & personal development opportunities; 

• Being part of dynamic team of young & ambitious professionals; 

• Corporate discounts for sport clubs and language courses; 

• Medical insurance package.

At P2Bid, we build multiplayer games where every product decision is driven by data.
 

We're looking for a Game Analyst who understands player behavior, enjoys solving product challenges, and wants to influence the future of our games through analytics.
 

If you're passionate about player retention, game economy, experimentation, and turning numbers into product decisions, we'd love to meet you.
 

About the role

You'll work closely with Product Managers, Game Designers, and the development team to understand how players interact with our products and identify opportunities to improve engagement, retention, and monetization.

This role goes beyond reporting—you'll help shape product decisions through data.
 

You'll be creating impact by

• Analyzing player behavior across the entire product lifecycle.
• Monitoring key product and business metrics.
• Identifying growth opportunities through data.
• Analyzing retention, engagement, monetization, and player funnels.
• Evaluating game economy and balancing game mechanics using analytics.
• Supporting A/B tests and product experiments.
• Building dashboards and reports for product teams.
• Turning analytical insights into clear product recommendations.
• Working closely with Product Managers to validate product hypotheses.
• Helping improve the player experience through data-driven decisions.
   

You'll fit right in if you...

• Have 2+ years of experience as a Game Analyst, Product Analyst, or Data Analyst.
• Have experience analyzing live digital products or games.
• Are confident writing SQL queries.
• Have experience with BI tools such as Power BI, Tableau, Looker Studio, or similar.
• Understand product metrics including:
  • Retention (D1/D7/D30)
  • DAU / WAU / MAU
  • Session Length & Session Frequency
  • Conversion
  • ARPU / ARPPU
  • LTV
  • Churn
• Have experience designing and analyzing A/B tests.
• Can explain complex analytical findings in a simple way.
• Think like a product owner—not just an analyst.
   

It will be a strong advantage if you have

• Experience analyzing multiplayer products.
• Experience with game economy and progression systems.
• Experience working with Amplitude, Mixpanel, Firebase Analytics, GA4, or similar platforms.
• Experience with Python for analytics and automation.
• Experience with ClickHouse, BigQuery, or other analytical databases.
   

Our analytics stack

• SQL
• Power BI
• PostgreSQL
• ClickHouse
• Google Analytics / Firebase
• Amplitude
• Google Sheets

(We're continuously improving our analytics infrastructure, so experience with similar tools is absolutely welcome.)
 

Why you'll love working with us

• Real impact on product decisions—not just reporting numbers.
• Work on multiplayer games and rapidly growing digital products.
• Close collaboration with Product Managers, Game Designers, and developers.
• A culture that values ownership, initiative, and experimentation.
• Fully remote work.
• Competitive compensation based on your experience and contribution.
   

If you're passionate about understanding player behavior and using data to build better products, we'd love to hear from you.

Are you passionate about turning data into actionable insights? We are looking for a Senior BI Engineer to join our Data & Analytics team and help shape reporting, dashboarding, and data-driven decision-making across diverse business and potentially government-related projects.

This is a Senior-level role with hybrid or remote work options, offering flexibility and opportunities to collaborate with talented professionals worldwide. The ideal candidate has strong hands-on experience with BI tools, advanced SQL, data modeling, and close collaboration with business stakeholders. This role requires not only technical expertise but also the ability to understand business needs, translate them into clear reporting solutions, and ensure data accuracy and reliability.

At Sigma Software, we value innovation, precision, and teamwork, and we provide a supportive environment where your expertise can make a real impact.

Why join us? You’ll work on meaningful projects, gain exposure to different domains, and enjoy benefits such as professional growth opportunities, a global team culture, and access to cutting-edge technologies.

Responsibilities:

— Design, build, and maintain BI reports and dashboards
— Analyze business requirements and translate them into reporting solutions
— Work with stakeholders to define KPIs, metrics, and data logic
— Write and optimize SQL queries
— Validate data accuracy and investigate inconsistencies
— Support data modeling and reporting layer improvements
— Collaborate with Data Engineers, Business Analysts, PMs, and customer-side stakeholders
— Prepare documentation for reports, metrics, and data sources
— Contribute to BI best practices within the unit

Requirements:

— 5+ years of experience in BI, data analytics, or data engineering-related roles
— Strong experience with Power BI, Tableau, Looker, or similar tools
— Advanced SQL skills
— Experience with data modeling, data structures, and data warehousing
— Understanding of ETL/ELT processes and data pipelines
— Experience with data cleaning, validation, and data quality control
— Ability to work with large datasets and complex business logic
— Good understanding of business reporting, KPIs, and dashboard design
— Experience working directly with stakeholders to gather requirements and clarify reporting needs
— Upper-Intermediate+ English level

Will be a plus:

— Experience with government, public sector, healthcare, finance, or other regulated domains
— Experience with Azure, AWS, Snowflake, BigQuery, Databricks, or Redshift
— Python or R for data analysis
— Experience with dbt, Airflow, Dagster, or similar tools
— Knowledge of data governance, access control, and compliance-related reporting
— Experience with Agile delivery

Чи захоплює вас перетворення даних на практичні інсайти? Ми шукаємо Senior BI Engineer, який приєднається до нашої команди Data & Analytics і допоможе формувати звітність, створювати дашборди та розвивати підхід до прийняття рішень на основі даних у різноманітних бізнес- та потенційно державних проєктах.

Це роль рівня Senior із можливістю гібридного або віддаленого формату роботи, що забезпечує гнучкість та можливість співпрацювати з талановитими професіоналами з усього світу. Ідеальний кандидат має значний практичний досвід роботи з BI-інструментами, поглиблені знання SQL, моделювання даних та досвід тісної взаємодії з бізнес-стейкхолдерами. Ця роль вимагає не лише технічної експертизи, але й здатності розуміти потреби бізнесу, трансформувати їх у зрозумілі рішення для звітності та забезпечувати точність і надійність даних.

У Sigma Software ми цінуємо інноваційність, точність і командну роботу та створюємо підтримуюче середовище, де ваші знання та досвід можуть мати реальний вплив.

Чому варто приєднатися до нас? Ви працюватимете над важливими проєктами, отримаєте досвід у різних доменах та матимете доступ до переваг, таких як можливості професійного розвитку, міжнародна командна культура та сучасні технології.

Обов’язки:

— Проєктувати, створювати та підтримувати BI-звіти та дашборди
— Аналізувати бізнес-вимоги та перетворювати їх на звітні рішення
— Працювати зі стейкхолдерами для визначення KPI, метрик та логіки даних
— Писати та оптимізувати SQL-запити
— Перевіряти точність даних та досліджувати невідповідності
— Підтримувати покращення моделювання даних та звітного шару
— Співпрацювати з Data Engineers, Business Analysts, PMs та стейкхолдерами з боку замовника
— Готувати документацію для звітів, метрик та джерел даних
— Вносити вклад у розвиток BI best practices у межах юніту

Вимоги:

— 5+ років досвіду у BI, data analytics або data engineering
— Досвід роботи з Power BI, Tableau, Looker чи подібними інструментами буде плюсом
— Просунуті навички роботи з SQL
— Досвід моделювання даних, роботи зі структурами даних та data warehousing
— Розуміння процесів ETL/ELT та data pipelines
— Досвід очищення, валідації та контролю якості даних
— Вміння працювати з великими наборами даних та складною бізнес-логікою
— Добре розуміння бізнес-звітності, KPI та дизайну дашбордів
— Досвід прямої роботи зі стейкхолдерами для збору вимог та уточнення звітних потреб
— Рівень англійської Upper-Intermediate+

Буде плюсом:

— Досвід роботи з урядовими, державними, медичними, фінансовими або іншими регульованими доменами
— Досвід роботи з Azure, AWS, Snowflake, BigQuery, Databricks або Redshift
— Python або R для аналізу даних
— Досвід роботи з dbt, Airflow, Dagster чи подібними інструментами
— Знання data governance, access control та звітності, пов’язаної з комплаєнсом
— Досвід роботи за Agile

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

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

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

About you:

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

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

   

What you’ll do:

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

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

   

Nice to have:

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

We Offer:

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

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

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

The Role: The project is a global leader in sports, music, travel, culture, and more. It creates and delivers extraordinary experiences by providing official access and premium hospitality at marquee global sporting events, global music tours, etc.

Requirements:

• 4+ years of work experience as a Data Analyst.
• Hands-on experience with SQL and Python/R.
• Experience in core data science activities: extracting data from SQL data stores, exploratory data analysis (EDA), strong data modeling experience, data visualization, and reporting; data modeling.
• Proficiency in BI and data visualization tools: Tableau (preferable), Qlik, Power BI, Looker, Adobe Analytics, etc.
• Any experience with cloud data warehouses (preferably Snowflake, Redshift, or BigQuery)
• Familiarity with dbt for transformation.
• Strong problem-solving, analytical skills, and decision-making abilities.
• Proven ability to analyze data and translate it into actionable insights and value propositions.
• Track record of solving complex data problems with an investigative mindset.
• Innovative and quick thinker with an out-of-the-box approach to challenges.
• Flexible, self-motivated, proactive, and critical thinker.

• At least Upper-Intermediate English; fluent in Ukrainian.

   

Key Responsibilities:

• Create rock-solid reports and clear, interesting data visualizations.
• Develop a deep understanding of the data architecture, its related datasets, and the interactions between them.
• Collaborate across multi-functional teams.
• Automate frequent reporting requests to maximize efficiency.
• Collaborate with internal stakeholders to gather and clarify business and reporting requirements.
• Analyze complex transactional data to uncover insights and inform model design.
• Build and maintain dimensional data models tailored for reporting and self-service BI.
• Develop interactive dashboards and reports that help drive decision-making across the business.
• Serve as the go-to person for aligning business needs with data-driven solutions.

Why join Empeek? ✨

• Challenging & meaningful products — complex architectures, modern technologies, and solutions that truly make an impact.
• Professional growth — personal development plan, mentorship, career maps, and opportunities to grow into new roles and responsibilities.
• Strong team culture — we share the same mission, values, and passion for what we do.

• Flexibility & ownership — freedom to choose your format and schedule, focus on results, and have a real impact on the company’s success.

   

Hiring process: → Interview with Recruiter (up to 30 min) → Technical interview (up to 60 min) → Interview with PM (up to 30 min)→ Client interview (up to 1 hour) → Offer 🥳

Working hours: Partial overlap with the client’s working hours — the first half of the day is flexible, while 16:00 to 20:00 (Kyiv time) is fixed.

What we offer:

• Access to learning opportunities — internal and external training, certification reimbursement.
• 18 paid vacation days, 10 public holidays, and up to 10 paid sick days.
• Up to $300/year for English classes + free speaking club.
• Up to $180/year for sports activities.
• Mentorship and knowledge sharing — people you can really learn from.
• Career maps and growth plans to support your professional development.
• New equipment provision, and accounting support if needed.
• Internal mobility — the opportunity to switch roles and take on more responsibility.
• Competitive market-level salary with regular reviews.
• Additional perks and compensations such as insurance fund, gifts etc.
• Psychological safety and supportive culture.
• Company values that align with yours.
• Community and team-building activities for informal networking.
• Social responsibility — support for the Armed Forces.

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

Greetings! We are looking for a systematic and experienced professional for

the position of Data Analyst for our company.

🧲 Magnetics is a digital company that develops and scales its own online products across competitive and fast-paced markets. Founded in 2014, we rely on data, bold hypotheses, and user experience to grow efficiently.

Requirements:
 

• 3+ years of work experience in the Data analyst, BI analyst, Product analyst or other similar analytics position
• Economic, math or technical education
• Proficient knowledge of BigQuery
• Strong experience with Tableau
• Ability to identify root causes of data anomalies and ability to test data
• Ability to work autonomously and keep the focus on the result
• Ability and readiness to learn fast

Will be a plus

• Experience with GCP services

How you'll be contributing:

• Supporting and Development BI reporting system (ETLs, DWH, BI, reporting andmonitoring from a scratch)
• Testing and validation of data after planned BI releases
• Analyzing the needs of the marketing and product teams in analytics and their implementation
• Search and selection of the best technical solutions adapted to current and future needs of teams
• Ad-hoc product analytics tasks and researches
• Monitoring and analyzing key product and payment funnel metrics

• Generating hypotheses and uncovering growth opportunities

   

Benefits of working with us:

🧲Office in Kyiv or Remote

🧲We cover 50% of the cost for individual courses, training, and language programs

🧲We cover 100% of the cost for team courses

🧲Free consultations with our lawyers and an additional 50% discount on any type of legal services.

🧲Health insurance

🧲Flexible schedule

🧲Regular salary reviews

🧲Team buildings in Ukraine

Ready to build analytics that drive real product decisions? Join Magnetics and let's grow together. Send us your CV!