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
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead end-to-end business development for Hivemind in Greece, managing territory and capture strategies, building relationships with defense/government stakeholders, driving proposals and cross-functional alignment, and closing complex procurement opportunities.
Top Skills:
Ai/MlAutonomyCRMHivemindSaaSUas
Cloud • Security • Software • Cybersecurity • Automation
The Business Development Representative is responsible for generating qualified leads and pipeline through prospecting and outreach, collaborating with multiple teams to achieve sales targets.
Top Skills:
OutreachSales NavigatorSalesforce
Artificial Intelligence • Computer Vision • Hardware • Machine Learning • Robotics • Software • Agriculture
Identify, diagnose, and resolve model and dataset performance issues using high-resolution imagery. Audit and validate data, run field experiments, collect and translate farmer feedback, coordinate rapid investigations with support and engineering, and document solutions to improve system performance.
Top Skills:
AIComputer VisionConfluenceData AnnotationDeep LearningGoogle SuiteLasers
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
