
201 - 500 employees
Founded 2018
🛍️ eCommerce
🎮 Gaming
🏪 Marketplace
eCommerce • Gaming • Marketplace
Eneba is an online platform that offers a wide range of video games, gaming-related eCards, and gift cards. Users can easily purchase cheap games for various platforms, including PC and gaming consoles, and benefit from personalized game deals through a loyalty program. Eneba also provides an opportunity for businesses to sell their products on the platform, creating a marketplace for gamers and developers.
🔥 23 minutes ago
🇪🇺 Europe – Remote
⏰ Full Time
🟡 Mid-level
đźź Senior
📊 Analytics Engineer
đź‘» Ghost score 12%
Where this job comes from
Posted on Eneba's careers page, not through a job board
First seen by Remote Rocketship 23 minutes ago

201 - 500 employees
Founded 2018
🛍️ eCommerce
🎮 Gaming
🏪 Marketplace
eCommerce • Gaming • Marketplace
Eneba is an online platform that offers a wide range of video games, gaming-related eCards, and gift cards. Users can easily purchase cheap games for various platforms, including PC and gaming consoles, and benefit from personalized game deals through a loyalty program. Eneba also provides an opportunity for businesses to sell their products on the platform, creating a marketplace for gamers and developers.
• Create and own the analytics engineering strategy, direction, and goals. • Lead, coach, and develop a team of around 10 analytics engineers through feedback, one-to-ones, performance management, review cycles, and hiring. • Establish analytics data-modeling architecture, engineering principles, quality standards, and ways of working. • Ensure analytics engineering work addresses clear business problems and delivers trusted, usable data. • Enable self-service analytics for business teams, BI tools, and AI agents through semantic layers, metrics, discoverability, and governance. • Evaluate the analytics landscape and decide what should be improved, stopped, rebuilt, or delegated. • Partner with stakeholders across Accounting, Payments, Marketing, and senior leadership. • Translate stakeholder needs into a clear direction for the team. • Identify and empower technical experts to define and implement engineering standards. • Evaluate analytics tooling and delegate technical discovery while retaining ownership of architecture and tooling decisions.
• Proven experience leading and developing data, analytics, or analytics engineering and people-management in product-focused tech companies. • Experience defining strategy and setting direction for analytics engineering, data modeling, or a closely related function. • Track record of establishing data-modeling architecture, principles, or standards that guide how other engineers build and maintain models. • Strong business judgment focused on why data is needed and what problem it solves. • Strong stakeholder management and communication skills, including partnering with product leadership and representing data in executive-level and cross-functional discussions. • Ability to form clear, evidence-based opinions, challenge existing approaches, and lead change under sustained pressure. • Experience operating in a high-growth, fast-moving organization where data supports many business functions. • Scale-up experience is helpful. • Working knowledge of SQL and data modeling. • Hands-on experience with DBT. • Familiarity with at least one BI or dashboarding tool. • Fluent English; business proficiency required. • Resume must be submitted in English.
• Opportunity to join our Employee Stock Options program. • Opportunity to help scale a unique product. • Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. • Paid volunteering opportunities. • Work location of your choice: office, remote, opportunity to work and travel. • Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes. • International team and English business language. • Personal data handled according to the Candidate Privacy Notice.
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