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# Data Analyst

- **Company:** Sporty Group
- **Location:** UK (Remote available)
- **Experience:** Experienced
- **Salary:** £44,082.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Airflow, Amazon Web Services, Data Analysis, Information Engineering, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Relational Databases, Linux, Python (Programming Language), Machine Learning, MySQL, Standard Sql, Data Analytics
- **Published:** July 16, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5801492080

## About the Role

* 3+ years experience in a similar data-driven role
 * Excellent working knowledge of SQL
 * Familiarity with Python and a range of BI and data visualization tools
 * Strong knowledge with ETL data pipelines
 * Strong knowledge of A/B Testing
 * Familiarity with Airflow
 * Understanding of principles of relational databases and data warehouse
 * Strong understanding of sports and gaming will be beneficial
 * Proactive and self-driven with excellent analytical skills
 * Ability to thrive in a fast paced and dynamic environment
 * Great communication skills

Even better if you have

 * Hands-on experience with machine learning
 * Relevant knowledge or experience in the gaming industry
 * Working knowledge of Python
 * Experience with Airflow and Metabase

## Description

As a Data Analyst at Sporty, you'll be mining through petabytes of data to provide key insights that drive core business decisions. You'll create dashboards that are used on a daily basis by product managers, traders, and executives, as well as provide in-depth reports on various areas of the business with complete freedom on your methodology.

Furthermore, our analysts play a key role in ensuring the stability of our reporting infrastructure. They are vital in maintaining our ability to deliver accurate and consistent reporting to the various stakeholders.

Our Stack

 * MySQL
 * Python
 * AirFlow
 * AWS
 * Metabase
 * Redshift
 * Linux

What you'll be doing

 * Analysing large and complex datasets to identify trends, patterns, and actionable insights that support business decision-making.
 * Designing, defining, and monitoring core business KPIs to evaluate product and operational performance.
 * Partnering with product, marketing, and business teams to translate business questions into structured data analysis.
 * Delivering clear, concise, and data-driven insights to stakeholders and shareholders through presentations and reports.
 * Developing and maintaining dashboards and reporting frameworks that enable self-service analytics.
 * Conducting ad hoc analysis to support strategic initiatives and emerging business needs.
 * Ensuring data quality and integrity by validating datasets and collaborating with data engineering teams when needed.


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