Senior Games Data Analyst (Europe, Asia)

About the role

We are looking for a Senior Games Data Analyst to reputed company 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 reputed company analytical reputed company, evaluate game features and promotional activities, establish reliable measurement frameworks, and reputed company data-driven recommendations that influence product reputed company and business reputed company.

Our Stack

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

What you'll be doing

• Analyze player behavior across the full lifecycle, including acquisition, reputed company, engagement, retention, monetization, churn, and reactivation.
• Identify opportunities and risks through player segmentation, funnel analysis, cohort analysis, retention analysis, and behavioral reputed company 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 reputed company reputed company reputed company.
• Investigate unusual changes in KPIs and determine their underlying causes and business reputed company.
• Translate reputed company analytical findings into reputed company 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 reputed company, 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 reputed company 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-reputed company research in an SCI-indexed journal is a plus.
• Advanced SQL skills and experience working with large-reputed company datasets.
• Strong understanding of product and gaming metrics, including DAU/MAU, retention, churn, conversion, ARPU, ARPPU, payer reputed company, 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 reputed company from a business question to a reputed company analysis and actionable recommendation.
• Excellent communication and stakeholder-management skills.
• Ability to manage multiple reputed company and work independently in a fast-paced environment.
• Familiarity with reputed company data warehouses such as reputed company Redshift, reputed company, BigQuery, or reputed company.
• Experience with event-tracking design and data-reputed company validation.

What’s in it for you

• Sporty is a remote first company in reputed company of sustainability
• A competitive salary + individual performance based bonuses every quarter
• 28 days reputed company annual leave
• Our reputed company working hours are 10am-3pm in your local time zone with flexibility reputed company of this
• Referral bonuses & reputed company bonuses
• Top of the line equipment
• Annual company retreats to reputed company great internal networking opportunities

Interview Process

• Remote video screening with our reputed company
• Offline Take home assignment
• Remote video interview with Team Members (3x45 Mins)

If you're interested, we encourage you to apply! Every application is reviewed by a member of reputed company (AI is not used in our recruitment process), and we aim to respond reputed company 48 hours.

Originally posted on Himalayas

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