eneba - Analytics Engineering Manager
Requirements
• 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. • A track record of establishing data-modeling architecture, principles, or standards that guide how other engineers build and maintain models. • Strong business judgment: you focus 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. Scale-up experience is helpful. • Working knowledge of SQL and data modeling, hands-on experience with DBT, and familiarity with at least one BI or dashboarding tool. • Fluent English (business proficiency required) • What it’s like to work at Eneba • 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. • We’re an international team and our business language of choice is English. Good English level is required, proficiency is preferred. Please submit your resume in English • To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice
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 teams such as Accounting, Payments, and Marketing, as well as senior leaders. • Build a strong understanding of Eneba’s 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.
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