Data Analyst
Quick Summary
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.
About the Role
~1 min readAs 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
Responsibilities
~1 min read- →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
Location & Eligibility
Listing Details
- First seen
- April 9, 2026
- Last seen
- April 28, 2026
Posting Health
- Days active
- 19
- Repost count
- 0
- Trust Level
- 35%
- Scored at
- April 28, 2026
Signal breakdown
Sporty Group is a global leader in digital entertainment, specializing in sports media, gaming, and fintech, impacting millions worldwide.
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