Genius Sports Logo

Genius Sports

Data Business Partner - Operations

Posted Yesterday
Be an Early Applicant
Easy Apply
Remote or Hybrid
Hiring Remotely in Tallinn, Harju Maakond
45K-50K Annually
Entry level
Easy Apply
Remote or Hybrid
Hiring Remotely in Tallinn, Harju Maakond
45K-50K Annually
Entry level
Build and govern scalable Operations data products using dbt and Snowflake. Partner with senior Operations leaders to translate business processes into trusted data models, semantic layers, metrics, and datasets. Improve data quality, documentation, automation, and interoperability while enabling BI and AI-ready analytics through Sigma and other workflows. Advise stakeholders on analytics engineering, dimensional modeling, metric governance, and data-driven operational improvements.
The summary above was generated by AI


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.

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 that improve data capture, measurement and automation.
  • Identify high-value use cases where data can deliver measurable efficiency, cost, service or commercial benefits.
  • Promote strong standards in SQL, dimensional modelling, testing, documentation and metric governance.
  • Bring clear, informed opinions on analytics engineering, semantic layers and the future of AI-enabled analytics.

WHAT YOU'LL BRING:

  • Ability to understand complex business processes and translate them into practical technical solutions.
  • Confidence advising and constructively challenging senior stakeholders.
  • Strong experience in analytics engineering, BI engineering or data engineering.
  • Advanced SQL and data modelling capability.
  • Hands-on experience with dbt and Snowflake.
  • Experience designing semantic layers and governing business-critical metrics.
  • Experience with Sigma or a comparable BI platform.
  • A strong understanding of dimensional modelling, data warehousing, data quality and scalable data design.
  • Ability to explain critical data concepts clearly to non-technical audiences.
  • A strong ownership mindset, with a bias toward simplification, standardisation and measurable business impact.

IT WILL BE A BONUS IF:

  • Operations leaders trust you as their technical data advisor.
  • Operations teams rely on consistent, governed datasets and KPI definitions.
  • Reporting Analysts spend less time rebuilding logic and more time generating insight.
  • The Operations semantic layer supports trusted BI, automation and AI interrogation.
  • Data products directly improve operational efficiency, decision-making and business outcomes.
  • Data becomes a core enabler of Operations transformation rather than simply a reporting output

The monthly salary for this full-time role ranges from €3,750 to €4,160 gross. This role will also be eligible to take part in Genius Sports Group's benefits plan.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. 

One team, being brave, driving change  

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Similar Jobs at Genius Sports

13 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
23K-31K Annually
Entry level
23K-31K Annually
Entry level
AdTech • Artificial Intelligence • Machine Learning • Marketing Tech • Software • Sports • Big Data Analytics
Provide technical support for Genius Sports products by investigating user issues, identifying and escalating bugs, communicating clearly with internal teams, and maintaining knowledge-base documentation. The role requires shift-based onsite work in Tallinn, strong English communication, computer literacy, SQL and JSON knowledge, and familiarity with ticketing systems. Basic API troubleshooting and prior technical support experience are preferred.
Top Skills: APIsJSONSQLTicketing Systems

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account