Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.
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.
#LI-remote
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