Data Business Partner - Operations

🏢 Geniussports · 📍 Tallinn, Harjumaa, Estonia

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Position Summary & Responsibilities

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com.

We're upfront about where we use AI in our hiring process. Our guidelines cover our approach to the use of AI, as well as what you can expect during the interview process. Read our full guidelines here.

THE ROLE

As a key member of our Enterprise Analytics function, you will be the technical Data Partner for Operations and play a critical role in its data-driven success. This is a hands-on analytics engineering role for a talented technician who can combine deep technical expertise with strong business judgement. You will work closely with Operations VPs to understand how the function operates, identify where better data can improve performance, and build the trusted data products needed to support decision-making, automation, and AI-enabled insights. You will develop scalable datasets in dbt on Snowflake, maintain the Operations semantic layer, and enable trusted consumption through Sigma, other BI workflows, and AI applications. This is not a reporting role. Your focus is building clean, governed, and reusable data that allows Operations teams and analysts to make better decisions with confidence.

WHAT YOU'LL DO:

Act as the trusted technical data partner to Operations VPs and senior leaders.
Translate operational processes and business priorities into scalable data models, metrics, and datasets.
Design, build, and maintain high-quality dbt models on Snowflake.
Own and evolve the Operations semantic layer, ensuring metrics and business definitions are consistent, trusted, and AI-ready.
Create intuitive, well-documented datasets for Reporting Analysts and operational users in Sigma.
Improve data quality, reliability, performance and interoperability across domains.
Review existing operational processes and recommend changes

🎯 Candidate Preparation Guide For Geniussports Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Assessors focus heavily on sports data ecosystem fluency, B2B enterprise monetization scale, and real-time operational agility.

📋 Preparation Priorities (Key Areas to Clarify):

1. Treating sports tech purely as a consumer media play rather than a B2B data infrastructure business
2. Lack of awareness regarding international regulatory landscapes in sports betting
3. Failing to demonstrate cross-functional leadership between product, engineering, and sports federation stakeholders

✨ Recommended Role Alignment Hook:

I scale B2B data monetization engines at the exact intersection of live sports, official rights, and high-stakes fan engagement.

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