Sporty Group

Data Analyst

Sporty Group

full-time

Posted on:

Location Type: Remote

Location: Anywhere in the World

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Tech Stack

AirflowETLPythonSQL

About the role

  • 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
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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythonETLA/B Testingdata visualizationdata analysisdata qualitydata integritydashboardsreporting frameworks
Soft Skills
analytical skillscommunication skillsproactiveself-drivenability to thrive in fast paced environment