Data Analyst (Europe)

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

Benefits offered by this job

Remote-first company

Competitive salary + quarterly bonuses

28 days paid annual leave

Core hours 10am-3pm in local time

Referral bonuses & flash bonuses

Top of the line equipment

Annual company retreats

Job summary

Sporty is seeking a Data Analyst to mine large data sets and deliver actionable insights used by product managers, traders, and executives. You will design dashboards, generate in-depth reports, and help maintain stable reporting infrastructure for stakeholders.

The role requires 3+ years in a data-driven role, strong SQL, Python, BI tools, ETL pipelines, and experience with A/B testing. A fast-paced, remote-first environment with clear communication and collaboration is expected.

Qualifications

• 3+ years in a data-driven role.
• Strong experience with KPIs/OKRs.
• Excellent SQL skills.
• Proficient in Python and BI tools.
• Experience with ETL pipelines.
• Knowledge of A/B testing.
• Familiarity with Airflow.
• Understanding of relational databases and data warehouses.
• Good understanding of sports and gaming is a plus.
• Proactive, self-driven with strong analytical skills.
• Able to thrive in a fast-paced, dynamic environment.
• Great communication skills.

Responsibilities

• Analyse large datasets to identify trends and actionable insights.
• Define and monitor core KPIs to evaluate performance.
• Collaborate with product, marketing, and business teams to translate questions into analyses.
• Deliver data-driven insights to stakeholders through presentations and reports.
• Develop and maintain dashboards and self-serve analytics frameworks.
• Conduct ad hoc analyses for strategic initiatives.
• Validate data quality and collaborate with data engineering.

Skills

KPIs & OKRs

SQL

Python

BI & Visualization

A/B Testing

ETL Pipelines

Airflow

Relational Databases

Communication

Tools

MySQL

Python

Airflow

AWS

Metabase

Redshift

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)

*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.