Data Analyst

Global - Remote

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 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 
  • 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

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