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Eneba

Multi-sided digital marketplace for game keys

Analytics Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Proven experience leading and developing data, analytics, or analytics engineering teams and managing people in product-focused technology companies.
  • Experience defining strategy and setting direction for analytics engineering, data modeling, or a closely related function.
  • A track record of establishing data-modeling architecture, principles, or standards that guide how other engineers build and maintain models.
  • Strong business judgment, focusing on why data is needed and what problem it solves, not only how models are built.
  • Strong stakeholder management and communication skills, with proven experience partnering closely 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, including recommending that work be stopped or rebuilt when needed.
  • Experience operating in a high-growth, fast-moving organization with low approval layers, where data supports many business functions.
  • Working knowledge of SQL and data modeling, hands-on experience with dbt, and familiarity with at least one business intelligence or dashboarding tool.
  • Business-proficiency fluency in English is required.

Responsibilities

  • Create and own the analytics engineering strategy, direction, and goals.
  • Lead, coach, and develop a team of around 10 analytics engineers through regular feedback, one-to-ones, performance management, review cycles, and hiring, helping them become increasingly autonomous.
  • Establish the analytics data-modeling architecture, engineering principles, quality standards, and ways of working that guide how the team builds and maintains models.
  • Ensure analytics engineering work begins with a clear understanding of the business problem and delivers data that people can use with confidence.
  • Enable reliable self-service analytics by making curated data usable by business teams, BI tools, and AI agents, with appropriate semantic layers, metrics, discoverability, and governance.
  • Evaluate the current analytics landscape and make pragmatic, evidence-based decisions about what should be improved, stopped, rebuilt, or delegated.
  • Partner directly with stakeholders across the company, including Accounting, Payments, and Marketing teams, as well as senior leaders.
  • Build a strong understanding of the business and translate varied stakeholder needs into a clear direction for the team.
  • Identify and empower technical experts within the existing team to help define and implement engineering standards.
  • Evaluate analytics tooling and delegate technical discovery where appropriate, while retaining final ownership of analytics engineering architecture and tooling decisions.

Desired Qualifications

  • Scale-up experience is helpful.

About the Company

Eneba

Multi-sided digital marketplace for game keys

Eneba is a digital marketplace for video games and related digital products. It operates a multi-sided platform that connects gamers, game publishers, and third-party sellers, offering a broad catalog of game keys for Steam, Xbox, PlayStation, DLCs, and in-game currencies. Transactions on Eneba are facilitated through the platform, with revenue mainly coming from commissions or service fees charged on each sale. Sellers use Eneba’s listing tools and API integrations to reach a large audience, while publishers gain an additional distribution channel without managing their own storefronts. Eneba differentiates itself through competitive pricing and frequent deals, an extensive catalog, and an emphasis on secure, accessible transactions that support international expansion and localization. The company’s goal is to provide a convenient, trusted place where gamers can buy digital goods, while helping publishers reach new markets and enabling third-party sellers to grow their reach.

Company size
201-500
Company stage
Debt Financing
Total funding
$21.8M
Headquarters
Vilnius, Lithuania
Founded
2018

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