Business and Systems Analytics - Data Analyst 2
Role details
Job location
Tech stack
Job description
- Collaborate with cross-functional partners to capture requirements and deliver reporting and analysis.
- Query, transform, and aggregate large datasets to produce insights that inform decisions.
- Build and maintain Power BI dashboards to enable self-service analytics.
- Conduct ad hoc analysis and write product-focused insights on player behavior and features.
- Perform quality assurance on datasets, dashboards, and reports to ensure accuracy and consistency.
Requirements
We are seeking a Data Analyst to join our team supporting analytics and reporting for game development and business operations. The ideal candidate will have strong experience in SQL and Python/PySpark, data visualization with Power BI or Tableau, and dashboard development and a proven ability to deliver actionable insights, build scalable reporting assets, and inform product decisions. Top Hard Skills: 1-3+ years in the following: 1.SQL experience (if they only have Python experience, that is acceptable but SQL is preferred)
- Familiarity with building dashboard, preferably with power BI but Tableau or similar is acceptable
- Basic statistics and analytical skills
- Portfolio is required !!, + Proficiency in SQL and Python or PySpark for data extraction, transformation, and analysis.
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Experience building dashboards and visualization solutions in Power BI, Tableau, or similar tools.
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Strong analytical and problem-solving skills with attention to data quality.
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Excellent written and verbal communication with the ability to present findings to stakeholders.
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Bachelor's degree in Computer Science, Data Science, Statistics, Economics, or a related field.
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3+ years of professional experience in an analytical role. Preferred Skills:
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Experience with Azure Synapse or Databricks.
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Background in the gaming domain and familiarity with player analytics.
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Familiarity with Python/PySpark for data processing and automation.
Benefits & conditions
- Competitive compensation and benefits.
- Opportunities for growth with global clients.
- A supportive, inclusive culture that values innovation and people.
- Exposure to modern data platforms and analytics projects.