Data Analyst

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 

• 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.