Data Analyst (Europe)

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.

What you'll bring

• • 3+ years experience in a similar data-driven role

• • Strong experience in working with KPIs and OKRs

• • 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

• What’s in it for you

• • Sporty is a remote first company in pursuit of sustainability

• • A competitive salary + individual performance based bonuses every quarter

• • 28 days paid annual leave

• • Our core working hours are 10am-3pm in your local time zone with flexibility outside of this

• • Referral bonuses & flash bonuses

• • Top of the line equipment

• • Annual company retreats to provide great internal networking opportunities

• Interview Process

• • Remote video screening with our Talent Acquisition Team

• • Offline Take home assignment

• • Remote video interview with Team Members (90 Mins)

• If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

• #LI-remote