Jobs Data & Analytics

We’re looking for an experienced BI Analyst who knows how to turn data into valuable business insights for fast-growing DTC brands. You’ll focus on building high-impact dashboards and reports that help stakeholders understand business performance and make better decisions. You know how to blend technical expertise with commercial understanding, and you’re always looking for ways to improve reporting and uncover new opportunities.

You’ll work closely with stakeholders, analyse business performance, and ensure data delivers clear insights into retention, profitability, and forecasting.

What you'll do

• Build, maintain, and optimise dashboards and reports in Tableau to provide clear insights into business performance
• Use SQL to extract, analyse, and transform data into meaningful and actionable insights
• Work with APIs and different data sources to support accurate and reliable reporting
• Develop reporting around key business metrics, including customer retention, subscription performance, profitability, and forecasting
• Translate complex data into clear visualisations and insights that stakeholders can understand and act on
• Identify trends, patterns, and opportunities to improve business performance
• Apply best practices in data visualisation and continuously improve reporting based on business needs

About you

• Several years of experience as a BI Analyst, Business Intelligence Analyst, or in a related role
• Previous experience working with DTC brands, ideally within a subscription-based business model
• Strong SQL skills and experience working with APIs
• Must have previous experience with Tableau
• Experienced in building dashboards and reports that support business decision-making
• Able to interpret data, identify trends, and turn insights into action
• Strong understanding of subscription metrics, particularly retention, profitability, and forecasting
• Exceptionally organised, able to work independently and manage priorities effectively
• Data-driven, curious, and always looking to uncover insights and improve performance
• Conversational in English

Bonus points if…

• You have experience working with subscription-based DTC brands and understand their key business metrics
• You have experience with customer retention, churn analysis, cohort analysis, or customer lifetime value (LTV)
• You enjoy translating complex data into clear, actionable insights for non-technical stakeholders
• You have experience supporting financial or commercial forecasting
• You’re proactive in identifying opportunities to improve reporting, processes, and data quality

We are looking for a Marketing Analyst (Web Acquisition). Our Analytics team is looking for someone to take ownership of how conversion signal gets delivered, measured, and trusted across our paid web traffic. You will own the full chain from server-side postbacks and click-ID capture to UTM taxonomy and affiliate reconciliation, catch measurement gaps before they hit spend, and turn conversion and funnel 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

• Own conversion signal delivery end to end: S2S postbacks per channel, event mapping, deduplication across event sources, and match-quality diagnostics
• Own identity and match quality: hashed first-party data used for matching, click-ID capture and persistence from landing page to CRM to payment
• Own what we optimize toward: value-based bidding, conversion value modelling, event taxonomy and attribution windows
• Work across channel specifics: Google Ads conversion diagnostics, Enhanced Conversions, offline conversion import, gclid/gbraid/wbraid and Consent Mode; Meta Conversions API, EMQ and deduplication; TikTok/Snapchat Events API and ttclid/sccid; AppLovin AXON Conversion API; Mintegral tracking URLs, UTM capture and S2S postbacks; affiliate postback integrations, click and sub-ID passing, conversion validation
• Build monitoring and alerts for signal errors, latency, coverage, match rates and platform-vs-internal discrepancies
• Investigate signal-related performance drops and assess the measurement impact of site releases and ad-platform changes before they hit spend
• Own UTM taxonomy and campaign naming conventions across all channels, with automated validation
• Own affiliate measurement: deduplication between partner postbacks and paid channels, attribution windows and overlap rules, conversion validation and payout accuracy, partner-level quality and fraud controls
• Analyze campaign and partner performance and traffic quality by channel, campaign, creative, geo and placement, including landing-page and checkout funnel conversion, lead quality, repeat purchase, LTV and payback
• Find growth points in CAC, ROAS and payback and turn them into recommendations the UA and affiliate teams can act on
• Test optimization hypotheses with UA: bidding strategy, which conversion to optimize for, conversion value definitions, audience and creative structures
• Build automated Tableau dashboards and ad-hoc reports on conversion values, bidding performance, signal delivery, partner payouts and funnel metrics
• Build and maintain custom marketing datasets in BigQuery on top of network, GA4, affiliate and CRM data

It's all about you

• 3+ years of experience in marketing or product analytics, with hands-on ownership of paid acquisition data
• Confident SQL in BigQuery
• Solid understanding of statistics: funnel conversion, sample size, telling a real difference from noise
• Python (Pandas) for analysis and automation: data validation, conversion uploads, recurring pipelines
• Hands-on Tableau, from data model to dashboards the team uses daily
• Practical experience with server-side conversion delivery on at least one platform: Meta CAPI, Google offline / Enhanced Conversions, TikTok or Snapchat Events API, or affiliate postback integrations
• Understanding of web attribution and performance marketing: click IDs and UTM, attribution windows, why platform, GA4 and internal numbers disagree and which to trust for which decision
• Understanding of consent, first-party identity and cookie limitations, and what they do to measured conversions
• 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
• Experience with affiliate / performance-partner measurement: S2S postbacks, sub-ID structures, conversion validation
   

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

Join an exciting journey to build and scale a global Media Data Foundation for a leading global organization based in Europe. This platform brings together paid media, digital analytics and marketing performance data from dozens of advertising and measurement platforms. It unlocks reliable media reporting, marketing ROI measurement and data-driven investment decisions across markets.

As a Middle Data Engineer, you will play a pivotal role in shaping and implementing the platform's architecture. The focus is on hands-on technical execution and collaboration with cross-functional teams.

Your work will turn raw media and marketing data into trusted, harmonised data products used by marketing, media and analytics teams around the world. You will use modern tools to solve complex challenges, working alongside skilled architects, engineers and business stakeholders.

Key Responsibilities:

• Hands-On Development: Build, maintain and optimize data pipelines for ingestion, transformation and delivery of media data (Meta, Google Ads, DV360, TikTok, The Trade Desk, GA4, CM360 and others).
• Create and implement scalable solutions to handle many data sources, frequent API and schema changes, and high volumes of data.
• Data Modeling & Warehousing: Design and maintain efficient, harmonised data models for cross-platform media reporting in Snowflake.
• Lead the move of transformation logic to dbt, including orchestration, testing, documentation and CI/CD.
• Collaboration: Partner with Solution Architects to translate high-level designs into detailed implementation plans.
• Work closely with Technical Product Owners, media agencies and market teams to align data solutions with business needs.
• Platform Development: Enable data readiness for media dashboards (Power BI), marketing mix modelling / ROI analytics and campaign taxonomy governance.
• Implement robust frameworks to monitor data freshness, completeness, quality and pipeline performance, with automated alerting.
• Security & Compliance: Implement robust access controls and data protection across the pipeline and for data shared with internal and external consumers.
• Ensure compliance with data privacy regulations (e.g. GDPR, CCPA) and internal data governance policies (data product tiers, tagging, naming standards).
• Monitor and address potential vulnerabilities, including service account and secret management, ensuring the platform follows security best practices.

Requirements:

• 2+ years of experience showing technical expertise and critical thinking in data engineering.
• Hands-on experience with dbt and strong Python programming skills.
• Proficiency in Snowflake and strong expertise in data modeling are essential.
• Demonstrated experience with marketing, media or advertising data (ad platform APIs, campaign hierarchies, web analytics) is required.
• In-depth understanding of security and governance in Snowflake: RBAC, secure views, data sharing, masking and row access policies, object tagging.
• Ability to design, implement and promote solution patterns and standards for complex, multi-source data platforms.
• Familiarity with multiple cloud platforms (Azure or GCP preferred, with a focus on Azure, including ADF).
• Experience with ETL/ELT and data integration tools (Adverity, Fivetran or similar) and batch orchestration.
• Competence in SQL, relational database design and efficient methods for data retrieval and preparation at scale.
• Proven ability to collect and process raw data at scale, including scripting, REST API integration and SQL querying.
• Experience with BI tools (Power BI preferred) and supporting reporting consumers.
• Experience working in global environments and collaborating with virtual teams and external agencies.
• A Bachelor's or Master's degree in Data Science, Computer Science, Economics or a related discipline.

We offer*:

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

*not applicable for freelancers

We are looking for a Data Analyst to take ownership of regular and clear analytics. The primary focus of this role is the efficient extraction of data from corporate databases and its visualization using Power BI.

This position involves executing clearly defined dashboard-building tasks, without involvement in deep ad-hoc research or testing product hypotheses.
 

📋 Key Responsibilities:

• Formulate and execute complex SQL queries to extract and prepare data from relational databases.
• Develop, deploy, and maintain analytical dashboards in Power BI.
• Perform data modeling in Power BI and create calculated metrics and indicators using DAX.
• Automate report refresh processes and ensure data accuracy and timeliness.
• Collaborate with cross-functional teams to clarify requirements regarding report structure and format.
   

⚙️ Qualifications & Requirements:

• Strong SQL proficiency: writing complex queries, working with aggregations, JOINs, subqueries, and window functions.
• Hands-on experience with Power BI: building reports from scratch, configuring table relationships, and intermediate DAX knowledge.
• Understanding of database design principles and query optimization.
• Knowledge of Data Visualization Best Practices to build intuitive and user-friendly reports.
• High attention to detail and accountability for the accuracy of calculated metrics.
   

🎁 What We Offer:

• Format: Remote work, 5/2 schedule.
• Payments: In USDT.
• Remuneration: Competitive salary + bonuses based on the results of the department you build.
• Growth: Opportunity for growth within the project.
• Benefits: Paid vacation and sick leave.

We are looking for a Middle AI/ML Engineer to develop and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will focus on building and iterating on machine learning and LLM-based solutions, integrating them into Foundry workflows to support analytics, automation, and decision-making. You will collaborate closely with data engineers, business analysts, and domain experts to deliver practical, production-ready AI solutions.

Responsibilities:

• Develop and enhance machine learning and AI models to support predictive analytics, classification, forecasting, and AI-assisted workflows.
• Build AI and ML solutions within Palantir Foundry, using Python and existing Foundry pipelines, Ontology objects, and workflows.
• Apply LLMs and NLP techniques (e.g. prompt engineering, fine-tuning, embeddings, retrieval-augmented workflows) using Palantir AIP for enterprise use cases.
• Collaborate with data engineers to understand data sources, ensure data quality, and prepare datasets for model training and inference.
• Conduct experiments, evaluate model performance, and iterate on features and model approaches.
• Integrate AI models into Foundry workflows to surface insights and support business processes.
• Support model deployment and monitoring by following established team standards and best practices.
• Work closely with business and domain stakeholders to translate requirements into practical AI-driven solutions.
• Document model behavior, assumptions, and limitations to support transparency and compliance.
• Stay up to date with applied AI and GenAI trends and contribute ideas under guidance from senior team members

Requirements:

• 3+ years of experience in machine learning, AI engineering, or applied data science.
• Strong Python skills; experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Hands-on experience with LLMs, NLP, or GenAI use cases (e.g. prompt design, embeddings, text classification, summarization).
• Practical understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and iteration.
• Experience working with structured data (tabular, time series); exposure to text or unstructured data is a plus.
• Familiarity with enterprise data environments and collaborative development workflows.
• Ability to clearly explain model results and AI behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to have: 

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

We offer*:

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

*not applicable for freelancers

We’re looking for a GCP data engineer with 4+ years of experience who can work independently across multiple client projects. Middle-level candidates are welcome, senior level is not required. The role involves working in US time zones.
 

Must-have skills

• Advanced BigQuery SQL, including scheduled queries, data transfers and incremental loads
• Python
• GCP services: Cloud Run, Cloud Scheduler, Cloud Functions, Secret Manager, IAM and Monitoring, managed across many projects at the same time
• REST APIs, webhooks and SFTP
• Git and Docker
• LLM APIs (OpenAI, DeepSeek, Perplexity) and prompt writing
   

Nice to have

• Terraform
• n8n
• Supabase and Postgres
• Clay
• Google Meridian
• Experience in lead scoring or marketing tech
• Experience optimizing GCP and LLM costs

Requirements:

• 4+ years of experience in Business Analysis, Solution Engineering, or related roles;
• Working in the GMT+0/+1 time zone
• Strong technical mindset with the ability to think in systems, workflows, and implementation approaches;
• Ability to independently design solutions based on high-level business requests;
• Experience working closely with developers and understanding software architecture principles;
• Practical experience using AI tools in daily work, especially Claude Code and similar AI-assisted development tools;
• At least Upper-Intermediate proficiency in both written and spoken English;
• Proficiency in eliciting and documenting business requirements;
• Ability to break down large and complex tasks into simple and manageable components;
• Ability to describe implementation logic and algorithms for developers;
• Experience integrating with third-party systems (APIs, file exchange, webhooks);
• Experience using Jira, Trello, browser Developer Tools, Figma, Postman, Slack, and graphic editors;
• Confident understanding of various file formats (CSV, JSON, XML);
• Basic knowledge of SQL;
• Ability to model processes and data using UML diagrams;

• High level of mastery of Google Workspace or Microsoft Office tools.

   

   

 Nice to have:

• Development background or hands-on coding experience;
• Understanding of system architecture and backend processes;
• Experience working in AI-first or automation-driven environments;
• Experience with low-code/no-code tools and AI-assisted workflows;
• Experience in CRM/Fintech.

Hiring Process

1. HR Screening (30 min)
2. Technical Interview (45 min)
3. Offer 

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are looking for a business analyst to join our project to migrate from 1C to Odoo. The primary responsibilities of this role include analyzing current business processes, defining requirements, and overseeing the migration of data and processes to the new ERP system.

Full-time, long-term position.

Responsibilities:

— At least 2 years of experience as a business analyst or systems analyst;
—  Practical experience working with 1C;
—  Understanding of ERP systems and company business processes;
—  Experience participating in system automation or migration projects;
—  Skills in describing business processes (BPMN; UML is a plus);
—  Experience writing technical specifications and documentation;
—  Ability to work with large volumes of data;
—  Experience working with Odoo;
—  Experience migrating from 1C to Odoo;
—  Basic understanding of SQL (a plus);

— English intermediate.

What we offer:

— Competitive salary;

— Paid vacation and sick leaves;

— Paid day off (Ukrainian holidays);

— Ability to work from our cozy office;

— 8 hours working day, 5 days a week;

— Career growth potential;

— Free snacks, fruits, and drinks;

— Friendly team and corporate events.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

Job Responsibilities:

• Configure and maintain sandbox environments (Zendesk / Intercom / Gorgias, etc.);
• Test AI solutions (chatbots, translation tools, CRM/helpdesk AI features);
• Run real customer support scenarios and evaluate system performance and quality;
• Configure chatbots and conversational flows within AI platforms;
• Compare and test AI vendors, prepare practical recommendations;
• Provide troubleshooting in test and client environments;
• Support Digital Transformation initiatives and tasks assigned by the team lead;

Candidate Requirements:

• Experience in customer support / BPO (Team Lead, Quality Control, or Senior Agent);
• Strong understanding of support operations (SLA, tickets, communication channels);
• Hands-on experience with CRM / helpdesk systems (Zendesk / Intercom or similar);
• Ability to quickly learn and navigate new systems independently;
• Strong analytical thinking and autonomy;
• English level B2+;

Nice-to-have:

• Basic understanding of APIs / integrations;
• Experience with no-code automation tools (Zapier, Make, etc.);
• Experience with AI tools, chatbots, or LLM-based solutions.
   

About the role
AI and agentic systems are changing how companies build software. Many clients can now build a simple app on their own with AI tools. What they need is a partner who understands their business, sees where AI and automation create real value, and proposes a solution that makes sense for them.

We are rethinking how we work with potential clients, and we are looking for a Senior Pre-sale Business Analyst to join our team and become part of this change. You will drive the pre-sale process and act as a business consultant for our clients.
 

What you will do

Pre-sales and discovery

• Lead discovery with new leads: stakeholder interviews and workshops to understand business goals, constraints and opportunities for AI and automation
• Design solution options and MVP scope, backed by a clear business case, high-level requirements, assumptions and risks
• Build quick demos and prototypes with AI and no-code tools to show clients what is possible
• Prepare commercial offers together with Sales and Delivery, and present them to clients

Sales process improvement

• Formulate and test hypotheses on how we work with leads and use the results to shape our approach
• Turn our project experience and AI expertise into clear, reusable offers, case studies and templates

• Try new AI tools first-hand and share what matters with the team

   

What we expect

• 5+ years in IT, including solid experience as a Business Analyst: requirements elicitation, decomposition and prioritization, process modelling, wireframing and solution documentation
• Hands-on experience in pre-sales and discovery, and a good understanding of how B2B sales work in IT services
• Experience in a product company or on a long-term outsourcing project; strong product thinking and the ability to dive deep into a client’s business problems
• Daily, practical AI fluency (e.g. Claude, ChatGPT, agentic workflows, prompt engineering): you follow new releases, have built something yourself (an agent, an automation, an open-source setup or a no-code prototype) and understand what AI can and cannot do today
• Good understanding of software architecture and integrations
• Excellent communication, facilitation and presentation skills; confident with C-level stakeholders
• English: Upper-Intermediate or higher, fluent in spoken business communication
• Proactive, result-oriented, comfortable with uncertainty and ready for challenging tasks

• Readiness for occasional business trips

   

Nice to have

• Consulting background is a strong plus
• Experience on AI / ML / LLM projects or AI-related pre-sales
• Experience in consulting or in a Product Owner / Product Manager role
• Experience improving a sales or pre-sales process

Why Join Us? 

    🌍 Remote-first & flexible work

• Fully remote working model.
• Access to an office if there is one available in your location.
• Monday–Friday, 40-hour working week.

• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)

  🏖️ Vacation & sick leave

• 20 paid working days of vacation during the first year.
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary.

• Public holidays are days off by default.

  ❤️ Health & family benefits

• Medical insurance or medical insurance compensation.
• Company gifts for:
  • Birthday
  • Wedding
  • Birth of a child
• Paid lunches at the office.
• Family days etc.
• 📑 FOP / Individual Entrepreneur Support if needed
  🔄 Paid Bench period between projects
  🤝 No time-tracking software — transparent and trust-based time reporting.
  🎁 Referral Program

About the role
AI and agentic systems are changing how companies build software. Many clients can now build a simple app on their own with AI tools. What they need is a partner who understands their business, sees where AI and automation create real value, and proposes a solution that makes sense for them.

We are rethinking how we work with potential clients, and we are looking for a Senior Pre-sale Business Analyst to join our team and become part of this change. You will drive the pre-sale process and act as a business consultant for our clients.
 

What you will do

Pre-sales and discovery

• Lead discovery with new leads: stakeholder interviews and workshops to understand business goals, constraints and opportunities for AI and automation
• Design solution options and MVP scope, backed by a clear business case, high-level requirements, assumptions and risks
• Build quick demos and prototypes with AI and no-code tools to show clients what is possible
• Prepare commercial offers together with Sales and Delivery, and present them to clients

Sales process improvement

• Formulate and test hypotheses on how we work with leads and use the results to shape our approach
• Turn our project experience and AI expertise into clear, reusable offers, case studies and templates
• Try new AI tools first-hand and share what matters with the team
   

What we expect

• 5+ years in IT, including solid experience as a Business Analyst: requirements elicitation, decomposition and prioritization, process modelling, wireframing and solution documentation
• Hands-on experience in pre-sales and discovery, and a good understanding of how B2B sales work in IT services
• Experience in a product company or on a long-term outsourcing project; strong product thinking and the ability to dive deep into a client’s business problems
• Daily, practical AI fluency (e.g. Claude, ChatGPT, agentic workflows, prompt engineering): you follow new releases, have built something yourself (an agent, an automation, an open-source setup or a no-code prototype) and understand what AI can and cannot do today
• Good understanding of software architecture and integrations
• Excellent communication, facilitation and presentation skills; confident with C-level stakeholders
• English: Upper-Intermediate or higher, fluent in spoken business communication
• Proactive, result-oriented, comfortable with uncertainty and ready for challenging tasks
• Readiness for occasional business trips
   

Nice to have

• Consulting background is a strong plus
• Experience on AI / ML / LLM projects or AI-related pre-sales
• Experience in consulting or in a Product Owner / Product Manager role
• Experience improving a sales or pre-sales process
   

We offer

• A key role in how the company sells, with freedom to experiment
• Access to our project knowledge and current AI initiatives
• Work with motivated professionals
• Professional growth and support of your personal improvement goals
• Medical insurance

About the Company

We are a European IT company with 200+ specialists delivering SaaS platforms, enterprise solutions, and cloud-native products for clients worldwide. We focus on building strong, long-term teams and supporting continuous professional growth.

About the Project

The project is a rapidly growing international FinTech platform transforming the restaurant payment experience through QR-code payments, bill splitting, digital menus, mobile ordering, and payment solutions.

The product is already live and backed by $72M in funding. With established BI and Data Engineering teams, the next step is to scale A/B testing across Product, Sales, and Operations.

You'll play a key role in building a scalable experimentation framework, improving data-driven decision-making, and helping teams turn hypotheses into measurable business outcomes.

Responsibilities

• Own and scale A/B testing and experimentation processes across multiple business functions.
• Configure and optimize GrowthBook and expand experimentation capabilities to mobile applications.
• Establish statistical testing standards, including power analysis, variance reduction, and sequential testing.
• Define experiment success metrics, guardrails, and evaluation methodologies.
• Develop experimentation playbooks and train Product, Sales, and Operations teams.
• Analyze experiment results and provide actionable recommendations to stakeholders.

Requirements

• 5+ years of professional experience in Product Analytics.
• 2+ years of hands-on experience with A/B testing and experimentation.
• 1+ year of experience with GrowthBook, Statsig, Optimizely, or similar experimentation platforms.
• 1+ year of hands-on experience with SQL.

Why Join This Project?

• High Impact: Shape the experimentation strategy of a rapidly scaling international FinTech product.
• Ownership: Build and improve experimentation processes rather than simply execute existing tests.
• Cross-functional Collaboration: Work closely with established BI and Data Engineering teams, as well as Product, Sales, and Operations.
• Modern Tooling: Work with GrowthBook, BigQuery, and AI-powered tools.

We Offer

• 20 paid vacation days per year.
• 5 paid sick leave days per year without medical documents.
• Personalized development plan with training compensation.
• English courses compensation.
• Work equipment if needed.
• Flat and transparent internal communication.
• Opportunity to switch between projects and technologies within Digis.
• Full accounting and legal support.
• Free access to corporate psychologist services.

If this opportunity sounds like a good fit, we'd be happy to hear from you. Apply now!

We are seeking a Product Analytics Lead to own and elevate our data-driven decision-making process through behavioral analytics, hypothesis testing, and user insights. In this role, you will build robust analytics frameworks, set the standard for evaluating new feature launches and A/B tests, and work closely with Product Managers, Data Science, and Analytics teams. Beyond technical leadership, you will mentor analysts and foster a strong data-driven culture across the company.

Responsibilities

• Lead the product analytics function and drive data-informed product decision-making across the organization.
• Build and continuously improve the product analytics framework, including methodologies, standards, and best practices.
• Partner closely with Product Managers, Data Science, and Analytics teams to identify opportunities, validate hypotheses, and support product strategy.
• Design, evaluate, and interpret A/B tests, experiments, and product releases, ensuring statistically sound conclusions and actionable recommendations.
• Define and monitor key product metrics, including funnels, retention, cohorts, LTV, conversion, and user behavior metrics.
• Translate complex datasets and analytical findings into clear business insights and product recommendations.
• Proactively identify trends, root causes, growth opportunities, and potential product risks.
• Challenge assumptions and help teams make better decisions through structured analytical thinking.
• Mentor and develop Product Analysts, strengthening analytical expertise and raising the overall quality of analytics within the team.

• Promote a strong data-driven culture and ensure analytics is embedded into the product development lifecycle.

   

Requirements

• 2+ years of experience in a Product Analytics Lead, Lead Product Analyst, or similar leadership role.
• Strong / Advanced SQL skills, including complex queries, query optimization, and data modelling.
• Strong knowledge of mathematical statistics, including hypothesis testing, confidence intervals, sample-size calculation, and statistical significance.
• Hands-on experience designing, running, and evaluating A/B tests and product experiments.
• Strong experience evaluating product launches and incremental releases.
• Deep understanding of product analytics and key metrics, including funnels, retention, cohort analysis, LTV, conversion, and behavioral metrics.
• Hands-on experience with BI and visualization tools such as Tableau, Looker, or similar platforms.
• Experience using Python for data analysis.
• Strong product mindset with the ability to connect analytical findings to business objectives and product strategy.
• Strong stakeholder-management and communication skills, including the ability to explain complex analytical and statistical concepts to non-technical audiences.
• Strong critical thinking and a proactive approach to hypothesis validation, root-cause analysis, and challenging assumptions.

• Proven mentoring or leadership experience with junior and mid-level analysts.

   

Nice to Have

• Experience within iGaming / Gambling.
• Experience in a product-driven technology company developing its own digital product.
• Experience working with large-scale user and behavioral datasets.
   

Our Benefit Cafeteria is Packed with Goodies:

• Children Allowance
• Mental Health Support
• Sport Activities
• Language Courses
• Automotive Services
• Veterinary Services
• Home Office Setup Assistance
• Dental Services
• Books and Stationery
• Training Compensation
• And yes, even Massage!

Ready to Take the Leap?

Join a team where every day is an opportunity to take a RISK and come out on top. Follow us on LinkedIn and Instagram, and let us be your hub for turning ambitious ideas and extraordinary solutions into reality.

At RISK, we believe that our people are the driving force behind our success. Together, we can achieve great things and push the boundaries of what's possible in the iGaming industry.

Our Customer:

Our customer is a technology company developing data-driven solutions for digital advertising and real-time campaign optimization. The team works with large-scale data and Machine Learning to support automated advertising decisions and improve campaign performance.

Your tasks:

• Develop, improve, and operate ML models used in production advertising systems.
• Work on ML problems related to bidding, bid optimization, and real-time advertising decision-making.
• Develop models for CTR/CVR prediction.
• Optimize campaign performance, budget allocation, and pacing.
• Work on ranking and decisioning models for advertising systems.
• Analyze large-scale advertising data and identify opportunities for optimization.
• Translate business and advertising problems into practical Data Science / ML solutions.
• Evaluate model performance and business impact using relevant advertising KPIs.
• Conduct experiments and A/B testing to validate and improve ML solutions.
• Collaborate with engineering and product teams to deploy and continuously improve production models.

Required experience and skills:

• 5+ years of commercial experience in Data Science / Applied Machine Learning.
• Hands-on experience in AdTech / Programmatic Advertising.
• Direct experience with RTB / real-time bidding systems.
• Commercial experience applying ML/Data Science to advertising optimization.
• Hands-on experience with bidding or bid optimization.
• Experience with CTR/CVR prediction, campaign optimization, ranking, pacing, budget allocation, or advertising decisioning.
• Experience developing, improving, or operating ML models in production.
• Strong Python skills.
• Strong SQL skills and experience working with large-scale datasets.
• Experience translating business problems into ML/Data Science solutions.
• Strong analytical and problem-solving skills.
• Strong English communication skills.

Would be a plus:

• Experience with DSP platforms.
• Experience with bidder logic, bidding algorithms, or bid-price optimization.
• Knowledge of OpenRTB and auction dynamics.
• Experience with real-time decisioning or pre-bid optimization/filtering.
• Experience with user acquisition, retargeting, or performance advertising.
• Experience with large-scale real-time ML.
• Experience with online experimentation / A/B testing.
• Experience with contextual bandits, online learning, or reinforcement learning.

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 assessment
3. Python assessment 
4. Technical interview
5. Client interview