Key skills
AirflowETLPythonSQLData EngineeringAnalyticsBIA/B TestingCommunication
About this role
Role Overview
- 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.
Requirements
- 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
Tech Stack
- Airflow
- ETL
- Python
- SQL
Benefits
- 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