Golf GameBook Data Insights

6 days ago


Espoo, Uusimaa, Finland GameBook Inc. Full time
Role Overview
The Product Analyst will play a critical role in driving data-informed decision-making across Golf GameBook's product and business strategy. This position requires collaboration with cross-functional teams to ensure data accuracy, optimize user engagement, and drive revenue growth.

Your key responsibilities will include:
  • Validating and maintaining data quality across key product and business metrics.
  • Implementing accurate tracking and troubleshooting data inconsistencies with development teams.
  • Identifying user behavior to inform strategic opportunities and drive engagement.
  • Creating critical reporting and dashboards to showcase company KPIs and product metrics.
  • Collaborating with product owners and designers to ensure data considerations in product decisions.
  • Assisting in analyses needed for management, strategy, finance, or other departments.

Requirements
To succeed in this role, you will need:
  • A Master's degree in Engineering, Data Science, Analytics, Business, or equivalent.
  • Proven experience (5+ years) as a Data Analyst, Data Scientist, Product Analyst, or Business Analyst, preferably in a product-driven environment with a subscription-based business model.
  • Expertise in data integrity and validation: strong understanding of data integrity best practices, including experience in validating, auditing, and maintaining data quality.
  • Ability to collaborate with development teams to implement accurate tracking and troubleshoot discrepancies.
  • Strong analytical skills with experience using SQL, Google Analytics, Amplitude, Mixpanel, Tableau, Power BI, and Google BigQuery.
  • Proficiency in working with large data sets, including pulling and joining data using SQL and performing analysis with Python, R, or Excel.
  • Clear and effective communication skills to present data insights to different stakeholders.
  • Ownership mindset to drive independent analyses and deliver actionable insights.
  • Experience with subscription revenue models, such as in-App Purchases, SaaS, Subscription business models.


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