This role is designed for a "Hub-and-Spoke" organizational model. The Head of Data will not manage the day-to-day tickets of embedded analysts but will own the Data Strategy, Infrastructure, and Standards that allow those analysts to be successful and consistent across the company.

Role Mission

As the Head of Data, the mission is to transform a decentralized data landscape into a unified, high-performance ecosystem. Head of Data will bridge the gap between autonomous product squads and a centralized data vision. Head of Data is the architect of our data culture, ensuring that while analysts sit within different business units, they operate with a common language, world-class tools, and uncompromised data integrity.

Key Responsibilities

Strategic Leadership & Governance

• Unified Data Strategy: Define and execute a global data roadmap that aligns with company-wide OKRs.
• Standardization: Define universal metrics (e.g., "Active User," "Revenue") to ensure a single source of truth across all departments.
• Data Governance: Set policies for data privacy, security, and compliance (GDPR) without bottlenecking the speed of the product teams.

Platform & Infrastructure

• Modern Data Stack: Own the selection and maintenance of our data warehouse (e.g., Snowflake/Redshift), transformation layers (dbt), and BI tools (Looker/Tableau).
• Data Engineering Oversight: Lead the core data engineering efforts to ensure a robust ETL/ELT pipeline that serves the decentralized "spokes."
• Self-Service Enablement: Build the infrastructure that allows non-technical stakeholders to access insights without needing an analyst for every query.

Functional Excellence & Community

• The Data Guild: Create and lead a "Data Guild" or "Community of Practice" to facilitate knowledge sharing, peer reviews, and mentorship among embedded analysts.
• Talent Bar: Define the hiring standards, leveling rubrics, and career paths for all data roles across the company. 
• Best Practices: Drive the adoption of version control (Git), documentation, and automated testing (Data Quality) within the analytic workflows.

Business Impact & Culture

• Data Literacy: Act as an evangelist for data-driven decision-making, coaching C-suite and Product Leads on how to better leverage data.
• Resource Allocation: Partner with Department Leads to identify where data gaps exist and advocate for the placement of analysts in the highest-impact areas.

Key Requirements

Strategic Leadership & Organizational Design

• Architectural Strategy: 6+ years of experience in Data/Analytics, with a proven track record of scaling "Hub-and-Spoke" or Data Mesh models. Demonstrated ability to balance centralized governance with decentralized execution speed.
• Strategic Influence: Proven ability to influence and align senior stakeholders (C-level, Product Leads) who do not have a direct reporting line to this role. Ability to lead through expertise and professional authority.
• Data-as-a-Product Mindset: A strategic approach to treating the data platform, tooling, and core datasets as internal products, where embedded analysts and business units are the primary customers.
• Change Management: Experience in leading organizational transitions (e.g., from centralized to decentralized) and establishing a high-performance data culture across distributed teams.

Technical Excellence & Methodology

• AI Modernization & Tooling: Lead the evaluation and strategic implementation of cutting-edge AI-driven data extraction solutions, ensuring selected technologies align with cross-departmental requirements and scale seamlessly across the organization’s data infrastructure.
• Modern Data Stack Mastery: Expert-level knowledge of cloud data warehousing (e.g., Snowflake, Redshift), transformation layers (dbt), and orchestration.
• Advanced Analytics & Modeling: Proficiency in SQL and Python/R for complex data modeling and predictive analytics. Deep understanding of version control (Git) and CI/CD practices in data workflows.
• Statistical Rigor & Experimentation: Extensive experience in designing and analyzing A/B tests, causal inference, and applying advanced statistical methods to drive business decisions.
• Operational Intelligence: Background in high-scale operational analytics, including forecasting, capacity planning, efficiency analysis, and automated quality assurance.

Functional Management & Governance

• Talent Development & Bar Raising: Experience in defining hiring standards, career frameworks, and mentorship programs for Data Analysts and Data Scientists.
• Data Governance & Quality: Proven ability to establish global data standards, master data management, and unified metric definitions to ensure a "Single Source of Truth" across the organization.
• Storytelling & Communication: Exceptional ability to translate complex technical findings into persuasive, executive-level narratives that drive operational and strategic improvements.
• Pragmatic Problem Solving: A results-oriented mindset with the ability to bridge the gap between high-level data science and pragmatic, actionable business solutions.

What we believe

At TransferGo, we offer competitive rewards to all people. We know that recognition is about more than just money, and we’ve fostered a culture of kudos to shine a light on the great work throughout the business, and the people making it all happen. We hold regular in-person events to connect with each other and help all our TransferNauts to grow with a generous training allowance. We believe that empowering people makes for a happier and more effective workforce. This means we enable anyone who wants to pursue initiatives that deliver real value for our migrant customers. 

What We Offer:

• Competitive Salary: Starting from 6480-9720€ (gross) per month, depending on experience. Salary is just one part of the conversation – if you’re excited about the role but the range feels slightly off, don’t hesitate to apply. We’re open to discussing based on your experience and potential.
• Comprehensive Benefits: Including a generous holiday allowance, competitive healthcare insurance, and a wellbeing package from day one.
• Annual Development Budget: €1,000 to invest in your personal and professional growth.
• Hybrid Working Environment: Flexibility to work from home and in the office, with most team members in the office two days a week.
• Pet-Friendly Office: If you’re near one of our offices, bring your furry friend along!
• Inclusive Culture: Regular in-person events, fostering a strong sense of community and collaboration.
• Empowerment and Ownership: We believe in empowering our people to take initiative and drive meaningful change.

This role is designed for a "Hub-and-Spoke" organizational model. The Head of Data will not manage the day-to-day tickets of embedded analysts but will own the Data Strategy, Infrastructure, and Standards that allow those analysts to be successful and consistent across the company.

Role Mission

As the Head of Data, the mission is to transform a decentralized data landscape into a unified, high-performance ecosystem. Head of Data will bridge the gap between autonomous product squads and a centralized data vision. Head of Data is the architect of our data culture, ensuring that while analysts sit within different business units, they operate with a common language, world-class tools, and uncompromised data integrity.

Key Responsibilities

Strategic Leadership & Governance

• Unified Data Strategy: Define and execute a global data roadmap that aligns with company-wide OKRs.
• Standardization: Define universal metrics (e.g., "Active User," "Revenue") to ensure a single source of truth across all departments.
• Data Governance: Set policies for data privacy, security, and compliance (GDPR) without bottlenecking the speed of the product teams.

Platform & Infrastructure

• Modern Data Stack: Own the selection and maintenance of our data warehouse (e.g., Snowflake/Redshift), transformation layers (dbt), and BI tools (Looker/Tableau).
• Data Engineering Oversight: Lead the core data engineering efforts to ensure a robust ETL/ELT pipeline that serves the decentralized "spokes."
• Self-Service Enablement: Build the infrastructure that allows non-technical stakeholders to access insights without needing an analyst for every query.

Functional Excellence & Community

• The Data Guild: Create and lead a "Data Guild" or "Community of Practice" to facilitate knowledge sharing, peer reviews, and mentorship among embedded analysts.
• Talent Bar: Define the hiring standards, leveling rubrics, and career paths for all data roles across the company. 
• Best Practices: Drive the adoption of version control (Git), documentation, and automated testing (Data Quality) within the analytic workflows.

Business Impact & Culture

• Data Literacy: Act as an evangelist for data-driven decision-making, coaching C-suite and Product Leads on how to better leverage data.
• Resource Allocation: Partner with Department Leads to identify where data gaps exist and advocate for the placement of analysts in the highest-impact areas.

Key Requirements

Strategic Leadership & Organizational Design

• Architectural Strategy: 6+ years of experience in Data/Analytics, with a proven track record of scaling "Hub-and-Spoke" or Data Mesh models. Demonstrated ability to balance centralized governance with decentralized execution speed.
• Strategic Influence: Proven ability to influence and align senior stakeholders (C-level, Product Leads) who do not have a direct reporting line to this role. Ability to lead through expertise and professional authority.
• Data-as-a-Product Mindset: A strategic approach to treating the data platform, tooling, and core datasets as internal products, where embedded analysts and business units are the primary customers.
• Change Management: Experience in leading organizational transitions (e.g., from centralized to decentralized) and establishing a high-performance data culture across distributed teams.

Technical Excellence & Methodology

• AI Modernization & Tooling: Lead the evaluation and strategic implementation of cutting-edge AI-driven data extraction solutions, ensuring selected technologies align with cross-departmental requirements and scale seamlessly across the organization’s data infrastructure.
• Modern Data Stack Mastery: Expert-level knowledge of cloud data warehousing (e.g., Snowflake, Redshift), transformation layers (dbt), and orchestration.
• Advanced Analytics & Modeling: Proficiency in SQL and Python/R for complex data modeling and predictive analytics. Deep understanding of version control (Git) and CI/CD practices in data workflows.
• Statistical Rigor & Experimentation: Extensive experience in designing and analyzing A/B tests, causal inference, and applying advanced statistical methods to drive business decisions.
• Operational Intelligence: Background in high-scale operational analytics, including forecasting, capacity planning, efficiency analysis, and automated quality assurance.

Functional Management & Governance

• Talent Development & Bar Raising: Experience in defining hiring standards, career frameworks, and mentorship programs for Data Analysts and Data Scientists.
• Data Governance & Quality: Proven ability to establish global data standards, master data management, and unified metric definitions to ensure a "Single Source of Truth" across the organization.
• Storytelling & Communication: Exceptional ability to translate complex technical findings into persuasive, executive-level narratives that drive operational and strategic improvements.
• Pragmatic Problem Solving: A results-oriented mindset with the ability to bridge the gap between high-level data science and pragmatic, actionable business solutions.

What we believe

At TransferGo, we offer competitive rewards to all people. We know that recognition is about more than just money, and we’ve fostered a culture of kudos to shine a light on the great work throughout the business, and the people making it all happen. We hold regular in-person events to connect with each other and help all our TransferNauts to grow with a generous training allowance. We believe that empowering people makes for a happier and more effective workforce. This means we enable anyone who wants to pursue initiatives that deliver real value for our migrant customers. 

What We Offer:

• Competitive Salary: Starting from 19 930-29 920 PLN (gross) per month, depending on experience. Salary is just one part of the conversation – if you’re excited about the role but the range feels slightly off, don’t hesitate to apply. We’re open to discussing based on your experience and potential.
• Comprehensive Benefits: Including a generous holiday allowance, competitive healthcare insurance, and a wellbeing package from day one.
• Annual Development Budget: €1,000 to invest in your personal and professional growth.
• Hybrid Working Environment: Flexibility to work from home and in the office, with most team members in the office two days a week.
• Pet-Friendly Office: If you’re near one of our offices, bring your furry friend along!
• Inclusive Culture: Regular in-person events, fostering a strong sense of community and collaboration.
• Empowerment and Ownership: We believe in empowering our people to take initiative and drive meaningful change.

Job Overview

Wargaming is looking for a proactive, excited and determined Senior Game Data Analyst to strengthen the World of Tanks product analytics team.

We collect all kinds of information about the player behavior and the events in the ‘WoT universe’: from economic, financial and detailed combat data to the precise coordinates of each shot and tank movement, interface telemetry and many others. All of them are routed to a singular database and are available for analysis 24/7.

You will be working with the WoT Product Team responsible for decision-making process, with the Data Warehouse team responsible for data storage, reports system and our infrastructure, as well as 60 analytics all over the world united under Wargaming Global Analyst Network.

What will you do?

• Helping deliver important analytical insights to managers and other product teams necessary for decision-making

• Use quantitative analysis to understand how the game is played and identify impact and growth opportunities

• Participating in analytical maintenance for features, game events and modes throughout all development and release stages:

  • Pre-Production Analytics: modeling likely outcomes and risks from implementing new features, game modes and events into the game; predict the future events, product KPIs and metrics; providing analysis of their full development cycle (from concept to release)

  • Production Analytics: developing and preparing analytical reports, metrics and methodologies for evaluating features, game modes and events in operation; looking for anomalies and insights that help increase effectiveness of the product and its parts

• Operation Analytics: creating and supporting analytical tools and interfaces (dashboards) for rapid updates on the status of the product and its subsystems delivered to the management and the responsible teams

• Gather and formulate requirements, conduct analytical research from producers, PMs, UX/UI and game designers, developers, QA and artists

• Presenting the research results and filling the product analytics knowledge base to share with other teams

What are we looking for?

• 5+ years experience on a similar position

• Understanding the principles of formalizing business tasks in research plans, as well as experience writing analytical reports and presenting their results

• Advanced SQL knowledge

• Experience with at least one data visualization solution (Tableau / Qlik / Microsoft Power BI, etc)

• Experience with Python/R and popular libraries for data processing and analysis

• Great communication skills, both written and spoken, especially for non-technical audience

• Written and spoken English (B2 and higher)

What additional skills will help you stand out?

• Being prepared to learn, take in and systemize vast amounts of data within a short time

• Experience working with Cloudera Impala / Hive, Oracle SQL, Snowflake

• Knowledge and practical application of machine learning algorithms

• Rich gaming experience in different games and over 1000 World of Tanks battles

The salary range for this position is 4000-6500 € (gross) per month.

Note that this salary range is valid for Lithuania, for other locations it might be different.

Work Mode

• Hybrid (2-3 days of work from the office)

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Vilnius include:

• Additional paid time off 

• Sick Leave Compensation

• Pregnancy and Childbirth Leave Benefit  

• Career development and education opportunities within the company

• Meal Allowance

• Premium Private Health Care 

• Mental well-being program (iFeel)

• Perks discounts platform (over 450 exclusive discounts)

• Personal Gaming Account

• Coffee, fruits, and snacks in the office

• Company events 

• Seniority Awards  

• Referral program - You can recommend the best talents to the company and receive a reward  

Please submit your CV in English to ensure smooth processing and review.