Data Analyst
Duration: 18 months
Location: Remote
REQUIRED SKILLS AND EXPERIENCE
• Data analytics (Data Visualization, Building KPIs, preferably has worked with Kusto (KQL), with large, complicated data sets)
• 5+ years of professional experience with SQL, KQL, or Azure DevOps.
• Experience working with Azure services like Azure Data Factory, Azure function, Storage Account, and Logic Apps.
• Experience with PowerBI and Python is a plus.
• Game Industry Analytics Experience
• Has worked in games in some other capacity (understands game development\production and or testing)
JOB DESCRIPTION
• Purpose of the Team: The purpose of this team is to create and maintain analytics, Insights, and basic data orchestration that complies with the organization's security and privacy requirements, as well as takes group standardization into account
• Key projects: This role will contribute to multiple unannounced gaming projects. A AAA game studio is looking for a skilled Data Analyst/Engineer to join their team. In this role, you will be responsible for developing, monitoring, and maintaining robust data engineering solutions and ETL pipelines. Your work will involve extracting data from various sources, transforming it to meet requirements, and loading it into target systems. You will help ensure data quality, integrity, and compliance with data regulations and security policies. These systems will empower informed decision-making through data analysis, automate the detection of defects, instill confidence in game quality, and promote the ability to advocate for an optimal player experience that aligns with the business objectives across the organizations gaming products.
Key Responsibilities:
• Develop, monitor, and maintain ETL pipelines to extract, transform, and load data.
• Help ensure data quality, integrity, and compliance with data regulations and security policies.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Implement and maintain data engineering solutions that support data analysis and decision-making.
