Data Analyst (Europe)

Sporty Group; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Remote-first company

Bonuses quarterly

28 days annual leave

Core hours 10am-3pm local time

Referral bonuses

Top-of-the-line equipment

Annual company retreats

Job summary

Sporty Group is seeking a Data Analyst to mine massive datasets and deliver actionable insights that drive product and business decisions.

You will build dashboards used by product managers, traders, and executives, while ensuring reporting reliability and data quality across the organization.

Qualifications

• 3+ years experience in a data-driven role.
• Strong experience with KPIs and OKRs.
• Excellent SQL skills.
• Familiarity with Python and BI tools.
• Strong ETL pipeline knowledge.
• Solid understanding of A/B testing.
• Familiarity with Airflow.
• Knowledge of relational databases and data warehouses.
• Sports and gaming interest is a plus.

Responsibilities

• Analyze large datasets to identify trends and insights to support decision-making.
• Define and monitor core KPIs to evaluate performance.
• Collaborate with product, marketing, and business teams to translate questions into analyses.
• Deliver clear data-driven insights to stakeholders via presentations and reports.
• Develop and maintain dashboards and self-service analytics.
• Conduct ad hoc analyses for strategic initiatives.
• Ensure data quality and coordinate with data engineering as needed.

Skills

SQL

Python

BI Tools

ETL Pipelines

A/B Testing

Airflow

Data Warehouse

Tools

MySQL

Redshift

AWS

Metabase

Linux

Airflow

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)