Data Analyst

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.

MySQL

Python

AirFlow

AWS

Metabase

Redshift

Linux

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.

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

Hands-on experience with machine learning

Relevant knowledge or experience in the gaming industry

Working knowledge of Python

Experience with Airflow and Metabase

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

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