Jobs Data Analyst

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
 

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.

About us:
 

BetterMe — a global wellness ecosystem empowering millions to become better — physically, mentally, and emotionally. We build what makes people better and keep challenging ourselves to inspire others.

Your impact:
 

• Primarily work with Marketing team and help to make correct data-informed decisions;
• Automate the management and monitoring of marketing platforms (e.g., campaign status tracking, performance monitoring, budget control, anomaly detection);
• Build scripts and tools to interact with ad platform APIs, streamline routine tasks;
• Create AI-assisted workflows using LLM APIs;
• Develop and support dashboards and reports that provide transparency into campaign performance and business KPIs;
• Contribute to our internal BetterBI system, consolidating marketing, financial, and product data.
• Help design a scalable and maintainable analytics infrastructure and improve internal data workflows.

About you:
 

• 2+ years of experience as a Data Analyst in a product-oriented company;
• Analytical mindset; ability to structure information and dive deeper when it is needed;
• Full proficiency in SQL and Excel;
• Hands-on experience with BI tools and data visualization (e.g., Tableau);
• Confident Python skills for data manipulation and scripting;
• Strong English written/verbal communication skills.
• Practical experience using ChatGPT, Gemini, or other LLM APIs, with a good grasp of prompt engineering to solve business tasks
   

Will be a plus:
 

• Experience working with product analytics platforms (Amplitude, Firebase, AppsFlyer, etc.);
• Understanding of A/B testing methodologies and experimentation frameworks;
• Experience working with digital marketing platforms (e.g., Meta Ads, Google Ads, TikTok Ads) via APIs.

What you get at BetterMe:
 

A mission that inspires. Every line of code, every design, every idea helps millions of people become healthier and more confident.
Trust without micromanagement. You manage your time and make decisions independently. We value outcomes, not online hours.
Growth opportunities. 90% of our leads have grown within the company. There’s space for initiative, new responsibilities, and real career upgrades.
Flexible work format. Choose what works best for you — office, remote, or hybrid.
Wellness in practice. Offline: workouts with professional trainers in our corporate gym, massage, corporate lunches, sports, and team activities — everything you need to recharge and reset together. Online: regular online workouts, partner discounts, and free access to our products.
Health insurance & corporate doctor.
Open communication. Transparency across teams, honest feedback, and support for initiatives are part of our everyday culture.
Support for sports events. We cover entry fees and encourage the team to compete and participate together.
Modern equipment. We provide new hardware and everything you need for productive work.
Legal & finance support. Experienced lawyers and financial specialists are always there to help — from documents to personal consultations.
An ambitious environment that gets recognized. Over the past two years, the BetterMe team has doubled in size, and we were named among Forbes’ Top 10 Best Places to Work in 2026.

Find more about us on social media platforms: Instagram, LinkedIn.

We are looking for a CRM / Retention Analyst to support our CRM and Retention teams with data-driven insights and identify growth opportunities for LTV and player retention through behavioral and communication performance analysis.

HOW YOU WILL MAKE AN IMPACT:

• Analyze key retention metrics: FTD → repeat deposits, churn rate, retention cohorts, LTV, ARPU/ARPPU, deposit frequency.
• Build and maintain analytical reports and dashboards for CRM campaigns, player segments, and promotions.
• Evaluate the effectiveness of CRM communications (Email, SMS, Push, In-App, Onsite) including open rate, CTR, and deposit conversion.
• Conduct cohort and behavioral analysis by GEO, acquisition source, player type, and deposit patterns.
• Support player segmentation (RFM, deposit segments, churn segments, VIP logic).
• Design and analyze A/B tests for CRM campaigns.
• Identify insights and opportunities to improve retention, player lifecycle, and revenue.
• Analyze player activity, sessions, games, and content performance to understand impact on retention.
• Provide data-driven insights and recommendations to CRM, Product, and VIP teams.

WHAT WILL HELP YOU SUCCEED IN THE ROLE:

• 2+ years of experience as a Data / Product / Business Analyst
• Strong SQL skills
• Experience with BI tools (Power BI, Tableau, Looker, Metabase, or similar)
• Understanding of key product analytics metrics (LTV, ARPU, ARPPU, churn, cohorts)
• Experience with retention and cohort analysis
• Ability to work with large datasets
• Ability to translate data into clear business insights
• Experience with A/B testing or CRM analytics is a plus
• Experience in iGaming / betting / gaming / fintech / subscription products is a plus

WHY YOU’LL LOVE IT HERE:

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

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

Hey there, 

We're looking for a Senior Power BI Engineer who enjoys transforming complex data into clear, actionable insights. In this role, you'll partner closely with business stakeholders to gather and document reporting requirements, design intuitive dashboards, define KPIs and calculations, and build scalable Power BI reports that support real estate investment and lending decisions in the US market.
Our tech stack: Snowflake, dbt, Airflow, Azure, DataHub, and Power BI.

Skills & Experience

• Bachelor's degree in Computer Science, Engineering, or related field;
• At least 5 years of hands-on work with Power BI.
• Experience with user stories, mockups, and agreeing on what success looks like for dashboards and reports.
• Good skills in data modeling, data catalog, working with different data sources, and making sure data relationships are set up right in Power BI.
• Solid knowledge of SQL and connecting Power BI to databases.
• Great at writing DAX formulas for calculations and custom measures.
• Background in data warehousing and pipelines, working closely with data engineers for complex tasks.
• Experience with Snowflake especially when using them with Power BI. Airflow and DBT is a plus.
• Experience making clear documentation for dashboards: showing data sources, calculations, filters, KPIs, and visual details.
• Able to quickly make mockups and drafts, sharing ideas with teammates and others.
• Strong communication skills with both technical and business people.
  
   

Responsibilities

• Build, update, and manage Power BI dashboards and reports so business users get clear visuals and answers.
• Work with others to collect needs, write user stories, make mockups, and agree on success criteria.
• Break down each dashboard into clear pieces: showing data sources, calculations, KPIs, visuals, and filter options.
• Keep all documentation organized and easy for others to read and follow.
• Make sure reports are reliable, quick, and protected, using Power BI best practices and security features.
• Work closely with stakeholders by sharing drafts, explaining changes, collecting feedback, and adjusting dashboards so they’re really useful.
• Help set and improve standards for documentation and best practices.
  
   

We are looking for a Senior Data Analyst to join our global team. This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place.

 Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.
  
  Responsibilities:
• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.
   

Requirements:

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus (one or more)

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.
   

Nice to have:

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If scoring quality drifts or a provider degrades, you notice it and drive the fix without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If external data shifts or an API changes, you build around it instead of blaming the provider.
• Get It Done: You prioritize shipping answers. You know when to send a rough estimate and when to build a proper framework.

Openness: You share findings and admit mistakes openly — both wins and failures travel across the team. If you spot a better way to do something, you volunteer it without being asked.

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 👉Final Interview 👉 Reference Check 👉 Job Offer

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

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

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

📋 Key responsibilities and your contribution:

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

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

   

📚 Your qualifications:

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

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

   

➕ Nice to have:

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

• Familiarity with Git.

   

Benefits:

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

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

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

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

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

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

The opportunity

Love the space where business questions meet hands-on data work? You'll work across a portfolio of fast-growing software companies backed by a private equity investor, building the revenue reporting their founders and finance leaders rely on — one company at a time. A rare chance to sit close to the top of the business, learn how SaaS companies really make money, and grow fast at the intersection of commercial and technical.

This could be a great fit if you're…

• From QA or data quality — you love making data clean, accurate and trustworthy. Reconciliation and getting the numbers right are at the heart of this role.
• A Product Owner / Manager in SaaS or FinTech — you already know the metrics and the stakeholders, and you want to go deeper and more hands-on with the data itself.
• A Business / Data Analyst or RevOps person — ready to step up into real ownership of commercial reporting.
• Comfortable at the intersection of business and technical — and you want to make that your core role, not a side skill.

What you'll do

• Build clear, unified commercial reporting from the ground up for one company at a time — starting with ARR and “snowball” analytics (new, upsell, downsell, churn).
• Pull data together from different systems (billing, CRM, contracts, finance), clean and reconcile it, and turn it into one trusted source of truth. Getting it accurate is the whole point.
• Work out who to talk to and where the answers live; partner directly with each company's finance/commercial leaders and data team.
• Once it's built and trusted, hand it over and take on the next company.

What you bring (core)

• Business × technical. You’re equally happy in a commercial conversation and in the data. This matters most.
• Hands-on builder. Proficient in Python and SQL — able to take raw source data through to clean, validated output tables and reporting cubes, working fairly independently. Everything around the core can be handled pragmatically, including with AI.
• Commercial curiosity. A fast grip on how businesses make money; comfortable translating business questions into a technical implementation. SaaS metrics exposure is a plus, and you’re keen to master them.
• Sharp and accurate. Detail-driven, with the confidence to ask good questions and explain your numbers clearly.

The ideal profile we’re targeting (a plus, not all required)

• Commercially oriented. Ideally 2+ years in a consulting, advisory or deal-support environment (e.g. Big 4 or a boutique analytics consultancy), used to turning business questions into practical data solutions.
• System & data migration. Experience with ERP, CRM or billing platform migrations (e.g. Salesforce, NetSuite, Chargebee) — understanding the data-quality pitfalls (duplicate customers, broken historical linkages) and how to reconcile pre- vs. post-migration data to keep the numbers continuous.
• Accounting or SaaS exposure. Either an accountant by trade, or someone with SaaS revenue-analytics exposure — familiar with subscription metrics (ARR, NRR, churn), snowballs and billings-to-revenue reconciliations.
• Handy to have. Familiarity with platforms like Databricks, Azure or GCP, and with project management across stakeholders.

Why you’ll like it · Engagement

• Exposure across many fast-growing software businesses with a direct line to their leadership — real ownership, and a fresh challenge every few months.
• Interim / contract, full-time capacity. Back-to-back projects (~3 months to a year each). Fully remote, occasional optional travel. Mentored by an experienced data leader. Start soon.

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 Growth Data Analyst to join our team!

Requirements:

• 4+ years of experience in product/ data analytics.
• Strong proficiency in SQL (including advanced queries and window functions).
• Hands-on experience with BI tools (e.g., Tableau, Power BI).
• Expertise in A/B testing: setup, monitoring experiments, and result analysis.
• Understanding of relational database architecture (ClickHouse, PostgreSQL, BigQuery, etc.).
• In-depth knowledge of statistics and hypothesis testing methods.
• Skills in hypothesis validation and data-driven analysis.

Will be plus

• Experience with Data Science tools for automating A/B test analysis is a plus.
• Experience in iGaming or B2C related industry (preferably whale-driven).

Responsibilities:

• A/B test post-analysis (including statistical review and deep dive);
• Researching for insights, opportunities and growth points aligned with department KPIs;
• Micro-segmentation, offer personalization;
• Customer behavior and product usage analytics (including product, website and mobile app data);
• KPI monitoring and alerting, finding 'why?';
• Developing and maintaining BI dashboards;
• Adhoc analytical requests (segmentation, data export, metric snapshots);
• Brainstorming and collaboration with different business streams;
• Automate recurring analysis tasks to reduce manual overhead.

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
- Free internal English courses
- In-house Travel Service
- Multiple internal activities
- Other benefits could be added based on your location

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:

* 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.

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
- Free internal English courses
- In-house Travel Service
- Multiple internal activities
- Other benefits could be added based on your location

About the Role

We are seeking a skilled Power System Modelling Engineer / Software Developer to join our team and contribute to the full lifecycle of power system modelling, simulation, and analysis projects. You will focus primarily on steady-state and dynamic power system simulations, network analysis, grid integration studies, and power flow calculations, while also engaging in data handling, scripting, automation, and toolchain development.

This role combines deep power systems expertise, analytical thinking, and software development skills to deliver high-quality modelling results and technical insights for our clients across the European energy sector.

Key Responsibilities

• Lead and participate in the design, implementation, testing, and analysis of power system models using commercial tools such as PSS/E (Siemens) or DigSilent PowerFactory, and open-source tools such as PyPSA, PyPowSyBl, or pandapower.
• Perform load flow, contingency analysis, short-circuit calculations, dynamic simulations, and grid stability assessments to support transmission and distribution system planning.
• Develop and maintain automated workflows, data pipelines, and scripting tools (Python) to support power system modelling and simulation processes.
• Conduct grid integration studies for renewable energy sources, including hosting capacity analysis, voltage regulation, and protection coordination.
• Collaborate with client teams (TSOs, DSOs) to ensure accuracy and consistency in network data collection, validation, and model maintenance.
• Communicate modelling results, methodologies, and assumptions clearly to both technical and non-technical stakeholders.
• Contribute to technical documentation, reports, and presentations.

Required Qualifications & Experience

• 2–7 years of relevant professional experience in power system modelling and simulation.
• 2+ years of hands-on experience with at least one commercial power system simulation tool (PSS/E, PowerFactory, ETAP, PowerWorld) or open-source equivalent (PyPSA, PyPowSyBl, pandapower).
• Proficiency in Python for scripting, automation, and power system analysis workflows.
• Solid understanding of power system fundamentals: load flow, fault analysis, dynamic stability, voltage regulation, and protection systems.
• Strong skills in data handling, processing, and visualization of network and simulation data.
• English language proficiency at B2 level or higher.
• MSc degree in Electrical Engineering, Power Engineering, Power Systems, or related field.

Desirable Skills & Assets

• Experience with PSS/E automation (Python/IPLAN) or PowerFactory DPL/Python scripting.
• Knowledge of CIM/CGMES data exchange standards and network model interoperability.
• Familiarity with European grid codes, ENTSO-E methodologies, and TSO/DSO operational frameworks.
• Experience with market modelling tools such as PLEXOS or Antares is a plus.
• Knowledge of optimization theory and mathematical programming (LP, MILP).
• Proficiency in R for statistical analysis or simulation post-processing.
• Familiarity with Git or other version control systems.
• Ability to translate customer requirements into actionable modelling tasks and deliverables.
• Experience in applying AI tools to support programming and analytical work.
• Strong communication and teamwork skills, with the ability to meet deadlines.

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 othersimilar analytics position
• Economic, math or technical education
• Proficient knowledge of SQL
• Strong experience with Viz tools like Tableau, PowerBI
• 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

   

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

   

Will be a plus:

Experience with GC services, Tableau, DBT, Python

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!