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Genius Sports Ltd

Data and Reporting Analyst - Support Services

Tallinn, Harjumaa, Estonia

Pay
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Excel macros or automation. The monthly salary for this full-time role ranges from €2790 to €3376 gross. This role will also be eligible to take part in Genius Sports Group's benefits plan. You will work Monday to Friday, 8-hour days, with a start time between 10:00 and 20:00 (for example 10:00–18:00, 11:00–19:00 or 12:00–20:00).
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What you’ll work on

Full posting
  • Develop, maintain and improve dashboards, reports and analytical solutions in Sigma Computing for multiple internal and external stakeholders.

  • You will work Monday to Friday, 8-hour days, with a start time between 10:00 and 20:00 (for example 10:00–18:00, 11:00–19:00 or 12:00–20:00).

From the employer’s posting
Use SQL to query, validate, combine and investigate data, primarily through the company's data warehouse. Develop, maintain and improve dashboards, reports and analytical solutions in Sigma Computing for multiple internal and external stakeholders. Contribute to data modelling and transformation activities.
The monthly salary for this full-time role ranges from €2790 to €3376 gross. This role will also be eligible to take part in Genius Sports Group's benefits plan. You will work Monday to Friday, 8-hour days, with a start time between 10:00 and 20:00 (for example 10:00–18:00, 11:00–19:00 or 12:00–20:00). 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.

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Tools in this posting

  • python
  • sql
  • dbt
  • excel
  • sigma
Source — Tool mentions in context
As a Support Services Data and Reporting Analyst, you'll help teams across Support and Operations use data to make informed decisions, improve performance and automate recurring processes. You'll work hands-on across data analysis, reporting, platform integrations and automation - gathering requirements, analysing data from multiple sources, building data models, and helping teams establish reliable metrics and structures for internal stakeholders and clients. This role increasingly works with data held in a cloud data warehouse, using modern data-transformation practices, so SQL is essential. WHAT YOU'LL DO:
- Gather, clarify and document reporting and analytics requirements from stakeholders, including account management, customers, product development and other relevant teams. - Use SQL to query, validate, combine and investigate data, primarily through the company's data warehouse. - Develop, maintain and improve dashboards, reports and analytical solutions in Sigma Computing for multiple internal and external stakeholders.
- Use SQL to query, validate, combine and investigate data, primarily through the company's data warehouse. - Develop, maintain and improve dashboards, reports and analytical solutions in Sigma Computing for multiple internal and external stakeholders. - Contribute to data modelling and transformation activities.
- Contribute to data modelling and transformation activities. - Integrate and reconcile information from relevant systems, which may include Microsoft Power BI, Excel, Salesforce, Monday.com and warehouse data. - Automate recurring reporting and operational tasks to improve accuracy, consistency and efficiency.
WHAT YOU'LL BRING - Working knowledge of SQL, with the ability to write queries for data extraction, filtering, joins, aggregation and validation. - Experience in data analysis and analytics, including interpreting business requirements, investigating data and communicating useful findings.
- Experience in data analysis and analytics, including interpreting business requirements, investigating data and communicating useful findings. - Experience with Microsoft Power BI, plus Sigma Computing or another business-intelligence/data-visualisation platform. - Knowledge of relational databases and core data concepts, with confidence working with structured data.
- Knowledge of relational databases and core data concepts, with confidence working with structured data. - Experience handling complex Excel workbooks, including advanced formulas. - Experience integrating, comparing or reconciling data from multiple sources.
WHAT YOU'LL BRING - Snowflake, dbt, Python or R. - Excel macros or automation.
- Snowflake, dbt, Python or R. - Excel macros or automation. The monthly salary for this full-time role ranges from €2790 to €3376 gross. This role will also be eligible to take part in Genius Sports Group's benefits plan.

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Pay
- Excel macros or automation. The monthly salary for this full-time role ranges from €2790 to €3376 gross. This role will also be eligible to take part in Genius Sports Group's benefits plan. You will work Monday to Friday, 8-hour days, with a start time between 10:00 and 20:00 (for example 10:00–18:00, 11:00–19:00 or 12:00–20:00).
Location & working pattern

Tallinn, Harjumaa, Estonia

You will work Monday to Friday, 8-hour days, with a start time between 10:00 and 20:00 (for example 10:00–18:00, 11:00–19:00 or 12:00–20:00). 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.
Work authorization

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Posting history
Status in our records
Active
First seen by us
Sep 4, 2026
Recorded sightings
1
Last seen by us
Sep 7, 2026

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Job description

 

 

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 Support Services Data and Reporting Analyst, you'll help teams across Support and Operations use data to make informed decisions, improve performance and automate recurring processes. You'll work hands-on across data analysis, reporting, platform integrations and automation - gathering requirements, analysing data from multiple sources, building data models, and helping teams establish reliable metrics and structures for internal stakeholders and clients.

This role increasingly works with data held in a cloud data warehouse, using modern data-transformation practices, so SQL is essential.

WHAT YOU'LL DO:

  • Analyse data generated by Support and Operations activities, as well as data required by other business teams, to identify trends, answer operational questions and support evidence-based decisions.
  • Gather, clarify and document reporting and analytics requirements from stakeholders, including account management, customers, product development and other relevant teams.
  • Use SQL to query, validate, combine and investigate data, primarily through the company's data warehouse.
  • Develop, maintain and improve dashboards, reports and analytical solutions in Sigma Computing for multiple internal and external stakeholders.
  • Contribute to data modelling and transformation activities.
  • Integrate and reconcile information from relevant systems, which may include Microsoft Power BI, Excel, Salesforce, Monday.com and warehouse data.
  • Automate recurring reporting and operational tasks to improve accuracy, consistency and efficiency.

WHAT YOU'LL BRING

  • Working knowledge of SQL, with the ability to write queries for data extraction, filtering, joins, aggregation and validation.
  • Experience in data analysis and analytics, including interpreting business requirements, investigating data and communicating useful findings.
  • Experience with Microsoft Power BI, plus Sigma Computing or another business-intelligence/data-visualisation platform.
  • Knowledge of relational databases and core data concepts, with confidence working with structured data.
  • Experience handling complex Excel workbooks, including advanced formulas.
  • Experience integrating, comparing or reconciling data from multiple sources.
  • Strong documentation discipline and experience applying clear, consistent analytical standards.

WHAT YOU'LL BRING

  • Snowflake, dbt, Python or R.
  • Excel macros or automation.

The monthly salary for this full-time role ranges from €2790 to €3376 gross. This role will also be eligible to take part in Genius Sports Group's benefits plan.

You will work Monday to Friday, 8-hour days, with a start time between 10:00 and 20:00 (for example 10:00–18:00, 11:00–19:00 or 12:00–20:00).

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.