Data Analyst (Europe) Full Time

About the role

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 in 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 of 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 of ETL data pipelines
• Strong knowledge of A/B Testing
• Familiarity with Airflow
• Understanding of principles of relational databases and data warehouses
• A 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 10 am-3 pm 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)