BI Analyst

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.

Originally posted on Himalayas