Senior Games Data Analyst (Europe, Asia)

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

Benefits offered by this job

Remote-first

Quarterly bonuses

28 days paid leave

Core hours 10am-3pm in local time

Referral bonuses

Top equipment

Annual company retreats

Job summary

sportygroup is seeking a Senior Games Data Analyst to transform player and product data into actionable insights that improve player experience, engagement, retention, and monetization. You will partner with Product, Game Operations, Marketing, CRM, and Engineering to lead analytical projects and establish reliable measurement frameworks.

You will build dashboards, evaluate experiments, and translate findings into clear recommendations for technical and non-technical stakeholders, while

Qualifications

• 5+ years of experience in data analytics, product analytics, business intelligence, or a related field.
• At least 3 years of experience in gaming, online entertainment, betting, or financial quantitative research, or another high-volume digital product environment.
• Having published statistics-related research in an SCI-indexed journal is a plus.
• Advanced SQL skills and experience working with large-scale datasets.
• Strong understanding of product and gaming metrics, including DAU/MAU, retention, churn, conversion, ARPU, ARPPU, payer rate, LTV, and player value.
• Solid knowledge of statistics, hypothesis testing, experiment design, and A/B testing.
• Experience using Python or R for data analysis, statistical modelling, or automation.
• Experience with BI and visualization tools such as Tableau, Power BI, Looker, or Apache Superset.

Responsibilities

• Analyze player behavior across the full lifecycle, including acquisition, onboarding, engagement, retention, monetization, churn, and reactivation.
• Identify opportunities and risks through player segmentation, funnel analysis, cohort analysis, retention analysis, and behavioral pattern analysis.
• Design and evaluate A/B tests and other experiments, including hypothesis development, sample-size estimation, metric selection, statistical testing, and result interpretation.
• Measure the performance of game features, promotions, events, bonuses, and campaigns.
• Define and maintain key product metrics and analytical frameworks for different games and player segments.
• Build dashboards and recurring reports that allow stakeholders to monitor product performance and make timely decisions.
• Investigate unusual changes in KPIs and determine their underlying causes and business impact.
• Translate complex analytical findings into clear recommendations for both technical and non-technical stakeholders.
• Partner with Product Managers and game teams to define analytical requirements before launching new features or initiatives.
• Work with Data Engineers to improve data quality, tracking coverage, data models, and analytical datasets.
• Promote consistent analytical standards and encourage data-informed decision-making across the organization.

Skills

Advanced SQL

Statistics & A/B testing

Analytical thinking

Stakeholder management

Communication

Project management

Independent work

Education

SCI-indexed statistics publication

Tools

Python

Tableau

Power BI

Looker

Apache Superset

SQL

Job description

About the role

We are looking for a Senior Games Data Analyst to transform player and product data into actionable insights that improve player experience, engagement, retention, and monetization.

In this role, you will partner closely with Product Managers, Game Operations, Marketing, CRM, and Engineering teams. You will lead analytical projects, evaluate game features and promotional activities, establish reliable measurement frameworks, and provide data-driven recommendations that influence product strategy and business decisions.

Our Stack

• Python
• Tableau/Power BI/Looker/Apache Superset
• SQL

What you'll be doing

• Analyze player behavior across the full lifecycle, including acquisition, onboarding, engagement, retention, monetization, churn, and reactivation.
• Identify opportunities and risks through player segmentation, funnel analysis, cohort analysis, retention analysis, and behavioral pattern analysis.
• Design and evaluate A/B tests and other experiments, including hypothesis development, sample-size estimation, metric selection, statistical testing, and result interpretation.
• Measure the performance of game features, promotions, events, bonuses, and campaigns.
• Define and maintain key product metrics and analytical frameworks for different games and player segments.
• Build dashboards and recurring reports that allow stakeholders to monitor product performance and make timely decisions.
• Investigate unusual changes in KPIs and determine their underlying causes and business impact.
• Translate complex analytical findings into clear recommendations for both technical and non-technical stakeholders.
• Partner with Product Managers and game teams to define analytical requirements before launching new features or initiatives.
• Work with Data Engineers to improve data quality, tracking coverage, data models, and analytical datasets.
• Promote consistent analytical standards and encourage data-informed decision-making across the organization.

What you'll bring

• 5+ years of experience in data analytics, product analytics, business intelligence, or a related field.
• At least 3 years of experience in gaming, online entertainment, betting, or financial quantitative research, or another high-volume digital product environment.
• Having published statistics-related research in an SCI-indexed journal is a plus.
• Advanced SQL skills and experience working with large-scale datasets.
• Strong understanding of product and gaming metrics, including DAU/MAU, retention, churn, conversion, ARPU, ARPPU, payer rate, LTV, and player value.
• Solid knowledge of statistics, hypothesis testing, experiment design, and A/B testing.
• Experience using Python or R for data analysis, statistical modelling, or automation.
• Experience with BI and visualization tools such as Tableau, Power BI, Looker, or Apache Superset.
• Strong analytical thinking and the ability to move from a business question to a structured analysis and actionable recommendation.
• Excellent communication and stakeholder-management skills.
• Ability to manage multiple projects and work independently in a fast-paced environment.
• Familiarity with cloud data warehouses such as Amazon Redshift, Snowflake, BigQuery, or Databricks.
• Experience with event-tracking design and data-quality validation.

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 (3x45 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.