Sporty Group
Sporty Group~19d ago

Data Analyst

Global - RemoteRemotemid
Data ScienceData AnalystDataData & AI
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Quick Summary

Overview

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.

Technical Tools
Data ScienceData AnalystDataData & AI

About the Role

~1 min read

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. 

  • 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

Where is the job
Worldwide
Fully remote, anywhere in the world
Who can apply
Open to applicants worldwide
Listed under
Worldwide

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

freshnesssource trustcontent trustemployer trust
Sporty Group
Sporty Group
greenhouse

Sporty Group is a global leader in digital entertainment, specializing in sports media, gaming, and fintech, impacting millions worldwide.

Employees
750
Founded
2013
View company profile
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Sporty GroupData Analyst