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.
*We are committed to maintaining a fair, secure and authentic recruitment process. Applications submitted using false, misleading or fraudulent information, including impersonated or fake profiles, will not be considered. Where reasonably necessary to protect the integrity and security of our recruitment process, we may verify a candidate’s identity and/or the accuracy of information provided during the recruitment process. Any such checks will be carried out in a proportionate and appropriate manner and in accordance with applicable data protection and employment laws.
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