Jobs Data Analyst

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.

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 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!

Service Description: As part of the grid connection assessment, data from the DSO-DP is required to provide a reliable statement regarding the grid connection point. In many cases, the necessary data is incorrectly maintained or missing in the respective data fields. An external service provider is being requested to correct this data.

The external service provider independently takes on the following tasks within the scope of the assignment:

Correction of data errors in the DSO-DP

Reconciliation of short-circuit data based on plant certificates / Zerez database

Follow-up maintenance/correction of the coupling key of grid connections for EEG plants

Updating the apparent power values of wind turbines

Location: Remote

Type: Full-Time 

Working hours: Must be available at least until 2:00 PM NYC time (Kyiv time 14:00–22:00)

Salary: Based on experience

Company Introduction

Ultiself is the #1 biohacking and self-improvement app on the App Store and Google Play. We use AI to build personalized daily routines that help people improve their health, productivity, and overall well-being.

Our primary marketing channels are Facebook, Instagram, and TikTok. As we continue to scale, we are looking for a strong Marketing Data Analyst to support and improve our analytics infrastructure, ensure data accuracy, and help drive data-informed decisions across marketing and product teams.

Who We Are Looking For

We are looking for an experienced analyst who: 

• Has strong expertise in marketing and product analytics
• Understands user acquisition funnels, attribution, and conversion tracking
• Can independently identify, investigate, and resolve tracking issues
• Is comfortable working with large datasets and transforming data into actionable insights
• Enjoys working in a fast-paced, growth-oriented environment
• Has strong analytical thinking and problem-solving skills

Main Responsibilities:

• Collaborate with developers to maintain and improve tracking and attribution systems
• Create weekly and monthly reports on marketing and product performance
• Analyze user behavior and identify opportunities to improve conversion, retention, and engagement
• Design, execute, and evaluate A/B tests across landing pages, onboarding flows, and app store listings
• Monitor analytics implementations and quickly resolve tracking discrepancies or data quality issues
• Ensure data accuracy and consistency across all reporting systems
• Conduct competitor research and provide recommendations to improve business performance and conversion rates
• Support decision-making with data-driven insights and clear reporting

Requirements:

• English level B1 or higher
• 3+ years of experience in marketing, product, mobile app, or web analytics
• Strong experience with:
• Google Analytics 4 (GA4)
• Google Tag Manager (GTM)
• BigQuery
• Google Cloud Platform (GCP)
• Amplitude
• Tableau and/or Looker Studio
• Strong understanding of attribution models, conversion tracking, KPIs, and marketing performance metrics
• Advanced Excel/Google Sheets skills
• Strong SQL skills
• Experience building dashboards and visualizing data for business stakeholders
• Ability to work independently and manage multiple priorities

Nice to Have

• Experience with Mixpanel
• Experience with Firebase or other mobile analytics platforms
• Experience integrating analytics platforms such as Amplitude or Mixpanel with AI-powered workflows, models, or automation systems
• Experience in health, wellness, self-improvement, or subscription-based mobile applications
• Experience working with CRM platforms such as ActiveCampaign, Infusionsoft, or similar tools
• Knowledge of Python or other analytical programming languages
• Additional language skills (Ukrainian, Spanish, etc.)

Interview Process:

• Interview with HR (30 mins)
• Interview with Operations Manager and Lead of Analytics (1 hour) 
• Interview with CEO (30 mins)

What We Offer

• Fully remote work with flexible hours
• 5 paid sick days per year
• 20 paid vacation days per year (after probation period)
• Opportunity to work on a fast-growing global product
• A collaborative team with real opportunities for professional growth and career development

Please send your resume and we will get back to you within 5-7 business days.

We look forward to hearing from you and potentially building something great together!

PAI3 NETWORK

Data & Systems Analyst

Make AI Work in the Real World

Mission

You ensure AI systems operate on real, structured, reliable data.

You own:

Data truth → system reality

About PAI3 Network

We build decentralised AI systems that run locally on PowerNodes.

• Data stays private
• Systems operate in real environments
• AI works with real-world complexity

How We Work

You will:

• Use AI to explore data
• Map systems and data structures
• Ensure real-world correctness

You will NOT:

• Manually write queries as your primary task

Core Responsibilities

Understand Systems

• Analyse enterprise systems (CRM, ERP, etc.)
• Understand real data flows

Map Data

• Define schemas and transformations
• Identify inconsistencies and risks

Enable AI Systems

• Ensure data is usable for agents
• Support integration with real environments

What We Expect

• Strong systems thinking
• Experience with data structures and APIs
• Ability to work across industries
• High attention to detail

Why This Role Matters

If data is wrong, AI fails.

This role is critical.

PAI3 Network

AI that works in the real world.

About the Project

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

Responsibilities

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

Requirements

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

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

   

Working Conditions

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

Hiring process

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

About Us: Fractal is a dynamic and innovative AI company that is committed to delivering cutting-edge solutions to our clients. We are currently seeking a talented and experienced Power BI developer to join our growing team.

Responsibilities: 

• Lead the effort to gather requirements and design in order to develop and implement Microsoft Power BI solutions in Microsoft Azure environment applying best practices to the development lifecycle
• Lead and manage architecture solutions as well as support and development of ad hoc and long-term Microsoft BI solutions and Power BI reports
• Working with end-users to design and build dashboards and customizations to meet their requirements
• Oversee design of data models and designs required to implement performant Microsoft BI solutions and Power BI reports
• Troubleshooting and resolving issues related to performance, environments, monitoring and operability of Power BI service (dashboards/reports)
• Build and manage relationships with key stakeholders across business and IT units
• Propose and promote design and development best practices in Power BI solutions
• Work with IT team closely to perform data extraction and data transformation processes to create the data set required for the dashboard
• Scale, maintain and improve existing solutions

• Prepare holistic documentations (process and technical) to enable proper knowledge transfer of both process and solution to the production team

   

Qualifications: 

• 3+ years in Analytics/Visualizations, with a solid project portfolio
• Strong experience in Power BI, including DAX and M languages
• Strong knowledge of SQL
• Experience of defining and implementing Power BI architecture and deployment models for a range of use cases
• Hands-on working experience with Power BI to author queries, datasets, visuals & reports
• Experience of defining and configuring the security model within Power BI deployments

• Upper-intermediate English or above, both spoken and written, is a must

   

We offer:

• Best team: a multicultural team of bright specialists and friendly, helping people (data scientists, ML/AI specialists, data engineers, developers, business analysts, QA team, as well as internal support staff);
• Challenge: plenty of complex and exciting projects with Fortune 500 clients;
• Working hours: 11:00 AM—8:00 PM, Ukraine time;
• Leave: paid leave of 27 business days per year;
• Salary review once a year, annual bonus 
• Being healthy: health insurance, reimbursement for psychological counselling
• Learning and professional development: access to company learning platforms with free courses (ie Coursera corporate), external certifications and learning programs, English classes;
• No micromanagement: we encourage self-organization and trust

Terravo Group is a performance marketing company specializing in media buying and scaling advertising campaigns.

We are looking for a Creative Data Analyst to join our Design team. In this role, you will help drive data-informed decisions by analyzing creative performance, identifying trends, and providing actionable insights to improve advertising results.

Key Responsibilities

• Analyze the performance of advertising creatives using key metrics such as CTR, CPC, CPM, CPA, CVR, ROAS, and others.
• Prepare reports and dashboards for designers and media buyers.
• Identify patterns in top-performing creatives and provide recommendations to the creative team.
• Analyze A/B test results and determine the most effective creative approaches.
• Work with large-scale marketing datasets.
• Collaborate closely with Design, Media Buying, and Analytics teams to improve campaign performance.
• Automate reporting processes and optimize data analysis workflows.

Requirements

• At least 1 year of experience as a Data Analyst, Marketing Analyst, or Product Analyst.
• Strong proficiency in Microsoft Excel or Google Sheets.
• Hands-on experience with SQL.
• Experience using BI tools such as Power BI, Looker Studio, Tableau, or similar platforms.
• Strong analytical mindset and the ability to work with large datasets.
• Understanding of digital marketing and key advertising performance metrics.
• Previous experience in performance marketing, affiliate marketing, or media buying is a strong advantage.

Nice to Have

• Knowledge of Python (Pandas).
• Experience with statistical analysis and A/B testing.
• Understanding of advertising platforms such as Meta Ads, Google Ads, TikTok Ads, and similar ecosystems.

What We Offer

• Competitive salary.
• Fully remote work.
• Flexible working hours with no office attendance requirements.
• Opportunity to work with large-scale marketing data using modern analytics tools.
• Professional growth, a supportive team, and the opportunity to make a direct impact on the development of the Creative department.
• An open and transparent company culture built on trust, ownership, and results.

If you're passionate about working with data, uncovering meaningful insights, and seeing the direct impact of your work on advertising performance, we'd love to hear from you.

Send us your resume and join Terravo Group - a team that values initiative, continuous growth, and measurable results.

About the role

Our client is private equity investor backing growth-stage software companies. Their portfolio companies have strong product-market fit but, being young, lack consistent commercial KPI definitions — so there is no clear, comparable view of performance. This hands-on interim role brings standardized, board-grade commercial reporting into these companies one at a time, starting with ARR and "snowball" analytics, until the reporting is built, trusted, and handed over.

What you'll do

• One company at a time. Embed with a portfolio company and take it through the data maturity curve; each company is a discrete project, worked back-to-back with the next.
• Build the numbers. Create unified commercial reporting from the ground up, starting with ARR and snowball analysis (New, Upsell, Downsell, Churn) to give leadership an accurate view of performance.
• Find the truth. Work out who to ask and where the data lives; partner directly with the CFO or C-1 level and the company's data team where one exists.
• Get it right. Pull together, clean and reconcile data from disparate systems (billing, general ledger, contracts, CRM) into a single source of truth reconciled to the finance ledger — accuracy is the most important outcome.
• Hand over. Once built and validated, transfer ownership to the portfolio company and move to the next project.

What we expect

• Finance & data expertise. Deep expertise in finance and in data and its analysis — able to stand behind your numbers and push back with C-level stakeholders on the strength of that expertise.
• SaaS metrics fluency. Confident with ARR, NRR, churn, snowballs and billings-to-revenue reconciliation.
• Business x technical. Genuinely comfortable at the intersection of business and technical — equally at ease with a commercial conversation and a hands-on build. This matters most; it is not a pure data-engineering role.
• Hands-on delivery. Able to build analyses end-to-end on a modern data stack — Python and SQL, in environments such as Databricks, Azure or GCP — working independently across companies with or without their own data teams. Tooling around the core can be handled pragmatically, including with AI.

Engagement details

• Format. Interim contract, full-time capacity; back-to-back projects across the portfolio. Individual projects run from ~3 months to over a year depending on size and complexity.
• Location. Fully remote. Occasional travel (a few days per month) is welcome but not a hard requirement. Some companies may provide their own device.
• Team & growth. First of several sequential hires as the portfolio scales. Start ASAP; a ramp-up curve is expected.

We're hiring a Data Analyst to join a fast-growing UK-based PropTech startup transforming the residential lettings and property management industry.

The company combines modern SaaS technology with AI-driven automation to streamline property operations, tenant management, payments, maintenance, and internal workflows. As the business scales through acquisitions, the platform plays a key role in standardizing operations, improving efficiency, and delivering a better experience for landlords, tenants, and internal teams.

You'll work closely with Product, Engineering, Operations, and Commercial teams, turning complex business data into actionable insights that influence product decisions and business growth.
 

Responsibilities

• Analyze large datasets to identify trends, bottlenecks, and growth opportunities.
• Define, measure, and monitor KPIs across product and business operations.
• Build dashboards, reports, and self-service analytics for different stakeholders.
• Partner with Product and Engineering teams to evaluate feature performance and support data-driven decision making.
• Translate ambiguous business questions into structured analytical frameworks.
• Improve data quality, reporting consistency, and analytical processes.
• Present insights and recommendations to both technical and non-technical stakeholders.
   

Requirements

• 3+ years of experience in Data Analytics, Business Intelligence, or a similar role.
• Strong SQL skills (required).
• Experience with BI tools such as Looker, Power BI, Tableau, Metabase, or similar.
• Strong analytical and problem-solving skills.
• High attention to detail and commitment to data accuracy.
• Ability to communicate business insights clearly.
• Comfortable working in a fast-paced startup environment.
• Upper-Intermediate+ English.
   

Nice to Have

• Experience working with product analytics.
• Experience in SaaS, PropTech, FinTech, or other high-growth technology companies.
• Familiarity with experimentation, KPI design, and data-driven product development.

We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.


The future of Web3 starts with you: join us as a Product Analyst!

Requirements

— 5+ years in product analytics, preferably in fintech, payments, or banking products;
— Advanced SQL skills; confident working with large raw datasets from backend sources;
— Hands-on experience with PostHog — event tracking, funnel and retention analysis, feature flags analytics;
— Proficiency in Tableau — building production-grade dashboards consumed by non-technical stakeholders;
— Experience with BigQuery / Snowflake / Redshift as primary data warehouse;
— Working knowledge of dbt — understanding models, lineage, and writing/modifying transformations;
— Python / pandas for data wrangling, ad-hoc analysis, and automation of repetitive analytical tasks;
— Solid understanding of payments flows (authorization, settlement, chargebacks), conversion funnels, cohort analysis, and fraud/risk metrics;
— Ability to independently scope analytical requests, challenge vague questions, and deliver structured insigh — not just charts;
— Experience working in cross-functional teams with Product, Growth, and Risk stakeholders;
— English B2+ for documentation and async communication;

Responsibilities

◇ Analytics delivery:
— Own end-to-end analytics across user funnels, payments, risk & fraud, and growth - from request intake to insight delivery;
— Answer complex business questions using SQL queries against BigQuery/Snowflake/Redshift, dbt models, and PostHog event data;
— Build and maintain Tableau dashboards actively used by Product, Growth, and Risk teams;
— Conduct funnel, cohort, retention, and segmentation analysis to support product decisions;

◇ Collaboration:
— Work closely with Product Managers to define metrics, instrument new features in PostHog, and evaluate product performance post-release;
— Partner with the Growth & Marketing team on acquisition funnel analysis, campaign attribution, and conversion optimization;
— Support the Risk & Fraud team with behavioral pattern analysis, anomaly detection, and monitoring of fraud signals;
— Align with backend engineers on data availability, event schemas, and data quality issuesp;

◇ Proactive & structural work:
— Audit current analytical coverage and identify gaps in instrumentation or reporting;
— Propose and implement automation and self-serve solutions to reduce the volume of repetitive ad-hoc requests;
— Contribute to dbt models - write new transformations and improve existing ones as needed;
— Document analytical approaches, metric definitions, and dashboard logic to build team knowledge base;

Good to have

— Prior experience in a high-request-volume environment with a structured intake process;
— Exposure to fraud detection models or risk scoring logic;
— Experience building self-serve analytics layers to reduce ad-hoc load;

Work conditions

— Master cutting-edge technologies and become an expert in the most innovative industry;
— Work with the Fintech of the Future: develop your skills in digital finance and shape the global market;
— Take Your Professionalism to the Next Level: gain unique experience and be part of global transformations;
— Drive Innovations: influence the industry and contribute to groundbreaking solutions;
— Join a Strong Team: collaborate with top experts worldwide and grow alongside the best;

Work-Life Balance & Well-being:
— Modern equipment;
— Comfortable working conditions, and an inspiring environment to help you thrive;
— 24 calendar days of paid leave;
— Additional days off for national holidays.

We build apps that empower millions of Mac users globally. Data has always played a key role in shaping our products, from major strategic decisions to daily improvements. Now we’re seeking a Product Marketing Analyst to help us keep data clean, relevant, and actionable.
You will monitor and maintain the health of our product’s analytical ecosystem — from dashboards to ad tracking. You’ll be a key partner to marketers, helping to make sense of user behavior, evaluate experiments, and support strategic initiatives with data that matters.

Your mission will be ensuring the marketing teams always have access to reliable insights, dashboards, and reports that truly support decision-making.

Interested? Apply now and let’s create data-driven magic together💫

In this role, you will:

• Analyze sales funnels, investigate metric anomalies via segment analysis, and measure brand activity impact to drive growth
• Design and configure cross-domain tracking (GTM/SGTM) ensuring high data quality and GDPR compliance
• Proactively communicate insights and hypotheses to stakeholders, translating complex data into clear business actions
• Adapt and maintain existing dashboards and data models for continuous funnel monitoring
• Own the full website A/B testing lifecycle from hypothesis formulation to statistical analysis to boost conversion rates
• Use AI tools to accelerate exploratory analysis, code writing, and automated reporting

Skills you’ll need to bring:

• Strong critical, systemic, and analytical thinking
• Advanced SQL skills and confidence working with large datasets
• Hands-on experience with BI tools (we use Google Data Studio)
• Understanding of unit economics
• A track record of finding insights in data, investigating root causes, and building reports for different levels of decision-making
• At least upper-intermediate level of English for communication with the American office and fluent Ukrainian

As a plus:

• Solid understanding of Web Analytics & Tracking (GA/GTM)
• Familiarity with DBT, Git
• Understanding of statistics, probability theory, and A/B testing platforms (e.g., Growthbook)
• Knowledge of specifics of tracking digital marketing channels (Google Ads, ASA, Affiliate)
• Practical GDPR-compliance experience
• Leveraging AI tools (Claude Code etc) for everyday workflows

What We Offer:

• We are a Ukrainian company, and we stand with Ukraine against the russian aggression
  We maintain workplaces for the mobilized Macpawians and provide financial support to colleagues or their families affected by the war. Here, you can also read about the MacPaw Foundation, which intends to help save the lives of Ukrainian defenders and provide relief to as many civilians as possible.
• We are committed to our veterans
  Our Veteran Career and Empowerment Program is designed to ensure our veterans and active military personnel receive the recognition, support, and opportunities they deserve.
• Hybrid work model
  Whether to work remotely or at the hub is entirely up to you. If you decide to mix it, our Kyiv office, which works as a coworking space, is open around the clock. The office is supplied with UPS and Starlink for an uninterrupted work process.
• Your health always comes first
  We guarantee medical insurance starting on your first working month. For those abroad, you can receive a yearly Medical insurance allowance as compensation for managing your medical expenses.
• Flexible working hours
  You can choose a schedule that is comfortable for you. No one here tracks your clock in/out because MacPaw is built on trust and cooperation.
• Space to grow both professionally and personally
  Education opportunities to grow both hard and soft skills, annual development reviews, and internal community.
• Teams we are proud of
  We build honest, transparent, and reliable relationships within teams. Every Macpawian can improve processes and implement their ideas. We encourage open and constructive feedback and provide training for Macpawians on giving and receiving feedback.
• Office designed for people (and pets)
  Our office has it all: a spacious workplace with enough room for sitting up, lying down, and running around; a gym for recreation; cozy kitchens; a sleeping/meditation room; and a terrace with a view where we throw summer parties. Also, we have two cats living in the office, and you are welcome to bring your pets to the office (we have separate floors for cats and dogs).
• Time-off policy that covers life’s needs
  Convenient personal time-off policy to help you take care of essential matters in your personal life, and parental leaves. On top of all that, sabbaticals are open after 5 years of being with MacPaw.
• Join social initiatives with MacPawCares
  MacPaw participates in numerous humanitarian aid and charity projects across many fields, and you are welcome to jump in to make the world a better place.
• We’re an equal-opportunity employer. Here is a safe place for applicants of all backgrounds
  We are hiring talented humans. Meaning with all our variety of backgrounds and identities, including service members and veterans, women, members of the LGBTQIA+ community, individuals with disabilities, and other often underrepresented groups. MacPaw does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
  
  *Some benefits are under development, and new adjustments are possible.

About the Company and Product

We develop a legal product in the online betting and gambling industry for Asian markets. Our product ranks among the top 3 most recognizable brands in the countries where we operate. Our database contains millions of records, with hundreds of thousands of monthly active users.

Retention, monetization, and reactivation of such a large user base require a technological and data-driven approach.

Who We Are Looking For

• We are looking for a strong CRM Lead to join the CVM department, who will take full ownership of managing an established and fully functional CRM team.
• Our CRM team is not just about sending campaigns. It is a department where processes are structured according to user lifecycle stages. We have implemented a transparent grading system (from Junior to Senior), and the team works closely with the analytics department (including an ML unit), data enrichment through CDP, and complex cascading A/B tests.
• We are looking for a leader with strategic vision who can manage this expertise, act as a facilitator within the team, and drive global product metrics growth.

Responsibilities
Team Management
Setting goals, monitoring task execution, and allocating resources
Employee development, mentorship, and improving the professional maturity of the team
Strategy & Customer Journey Map (CJM)
Development and optimization of the global CRM communication strategy
Synchronizing lifecycle streams (Onboarding, Churn, Loyal) into a seamless Customer Journey Map
Performance Management
Monitoring key metrics across the entire funnel
(from STD, onboarding completion, and deliverability to LTV, GGR of the loyal segment, and reactivation conversion)
Designing and running A/B tests
Technical Infrastructure Development
Supervising integration of new channels and providers
Monitoring communication channel deliverability
Managing automation and data enrichment via CDP
Cross-Functional Collaboration
Close collaboration with the product team, analytics, and development teams
Initiating improvements to the admin panel, working on predictive models, and automating BI reporting
Budgeting & Unit Economics
Monitoring CRM budgets
Controlling target action costs (Cost per Went Online, Cost per Reactivation)
Calculating communication ROI

Candidate Requirements (Hard & Soft Skills)
 

Experience
3–5+ years of experience in CRM marketing working with databases of several million users
Leadership Experience
Proven experience managing a team
Ability to delegate tasks, estimate resources and timelines, and provide developmental feedback
Analytics & Metrics
Strong understanding of cohort analysis and unit economics
Experience working with metrics such as Churn Rate and ARPU
Ability to make decisions strictly based on data

Technical Expertise
Deep understanding of communication channels
Knowledge of deliverability principles and channel mechanics
(SMS, Push, In-App, Email, Call Center, etc.)
Experience working with CDP platforms and complex trigger chains
Strategic Thinking (Helicopter View)
Ability to see the big picture, identify risks, and design long-term testing and automation strategies
Maturity & Leadership
Ability to take responsibility for strategic decisions
Build a trust-based team environment
Act as a driver of innovation

What We Offer
Established Infrastructure
You will not be building from scratch. You will be managing an already well-established and high-performing CRM system and taking it to the next level.
Professional Team
Your team consists of Junior, Middle, and Senior specialists who are autonomous, capable of writing technical specifications for analysts, setting up complex flows, and clearly understanding their responsibilities.
Resources
Access to top industry tools, budgets for testing new hypotheses and channels, and strong support from the product and development teams to implement complex CRM infrastructure initiatives.

Job Description

• Minimum 5–6 years of experience as a Product Analyst, Product Data Analyst, Data Analyst, BI Analyst, or similar role, preferably in a SaaS, video, sports tech, or high-volume event-based product.
• Strong SQL skills and experience working directly with data warehouses such as Snowflake, BigQuery, Redshift, or similar.
• Hands-on experience with product analytics tools such as Mixpanel, Amplitude, GA4, or similar.
• Experience with event-based tracking, product instrumentation, event taxonomy, funnels, cohorts, retention models, and feature adoption analysis.
• Experience with BI/dashboarding tools and ability to build clear, reliable reports for Product, Marketing, Management, and other stakeholders.
• Strong understanding of product metrics, including activation, engagement, retention, conversion, feature adoption, customer-facing KPIs, and north-star metrics.
• Ability to translate ambiguous business and product questions into clear analytical frameworks, metrics, dashboards, and actionable insights.
• Experience working with Agile software development teams and collaborating with Product Owners, Business Analysts, Engineering, Marketing, and Management teams.
• Excellent communication and presentation skills in English. Ability to explain complex analytical findings to both technical and non-technical stakeholders.

Job Responsibilities

We are looking for a talented Senior Product Analyst who will take the following responsibilities:

• Own and improve product analytics across customer-facing products.
• Analyze user behavior, product usage, funnels, retention, cohorts, user flows, and feature adoption.
• Define and maintain product KPIs, success metrics, and reporting frameworks for new and existing features.
• Build and maintain dashboards, recurring reports, and ad-hoc analysis for Product, Marketing, Management, and other stakeholders.
• Work with Product Owners, Business Analysts, and Engineering teams to define tracking requirements and ensure proper product instrumentation.
• Maintain and improve event taxonomy, user properties, funnel definitions, and metric consistency.
• Validate that product events, properties, and metrics are tracked correctly, consistently, and reliably.
• Build or support data models that transform raw product events into reliable product metrics.
• Support feature and roadmap decisions with usage data, impact analysis, adoption insights, and clear recommendations.
• Identify user drop-off points, adoption issues, leading indicators, and opportunities for product improvement.
• Present insights proactively and provide narrative context, not just numbers.
• Contribute to improving data quality, documentation, analytics processes, and cross-team understanding of product metrics.

Department/Project Description

The platform combines AI-powered sports capture, automated video production, live streaming, and performance analysis tools into a single product ecosystem. It enables teams, clubs, leagues, schools, broadcasters, and sports organizations to capture and distribute games without the need for a full on-site production crew.

Using fixed or portable camera systems and computer vision algorithms, the product automatically follows the flow of play, produces broadcast-ready video, and helps generate clips, highlights, and coaching material. This allows customers to scale sports coverage across many venues and events while reducing the cost and operational complexity of traditional broadcasting.

The product portfolio includes solutions for live production, video analysis, game breakdowns, highlight creation, content distribution, and team performance review. It supports multiple sports and serves a broad range of users, from grassroots and amateur organizations to professional clubs, leagues, and media partners.

For the Product Analyst role, this creates a rich data environment with high-volume event streams, user behavior data, video usage patterns, feature adoption metrics, and customer-facing KPIs across several product areas.