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
Similar Jobs
21 Days Ago
Artificial Intelligence • Machine Learning • Natural Language Processing • Professional Services
Audit and improve data labeling quality in human-in-the-loop ML workflows. Coach and onboard labelers, provide actionable feedback, monitor queues, identify recurring issues, and help refine guidelines and processes.
Cloud • Security • Software • Cybersecurity • Automation
Lead and conduct complex, confidential workplace investigations; advise and coach leaders on employee relations and performance issues; develop proactive programs, policies, and scalable solutions; analyze case trends and partner with Legal and People teams to reduce risk and improve team member experience across jurisdictions.
Top Skills:
AI
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead development and implementation of Medical Insights strategy and processes across Medical Affairs. Prioritize insights use cases, translate business needs into data/functional requirements, evaluate AI and analytics solutions, embed insights into medical decision-making, monitor impact, enable adoption of insights platforms, and collaborate cross-functionally to drive value and evidence generation.
Top Skills:
Advanced AnalyticsAIDataikuTableau
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
