Job description
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.
Originally posted on Himalayas
Who can apply
The source lists worldwide eligibility. Accepted UTC offsets: UTC-11, UTC-10, UTC-9.5, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC-4, UTC-3.5, UTC-3, UTC-2, UTC-1, UTC+0, UTC+1, UTC+2, UTC+3, UTC+3.5, UTC+4, UTC+4.5, UTC+5, UTC+5.5, UTC+5.75, UTC+6, UTC+6.5, UTC+7, UTC+8, UTC+8.75, UTC+9, UTC+9.5, UTC+10, UTC+10.5, UTC+11, UTC+12, UTC+12.75, UTC+13, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.