Job Summary:

• Collaborate with QC stakeholders to provide analytical solutions based on a variety of data sources.
• Handle and analyze complex game test data and visualize it in a simple manner using various visualization tools.
• Using data analytics expertise to provide innovative solutions to various problem statements

Job Responsibilities:

Core Responsibilities

1. Interprets raw data to provide analytics on QC team performance for a variety of AAA and mobile games.
2. Creating dashboards for the QC teams internally and the WWQC teams externally
3. Working with the Project Managers and QC Leads to defining relevant KPIs for measuring game performance.
4. Working with the team in data collection and identifying the right data source to refer
5. Analyze QC team coverage using gameplay data
6. Ensuring continuous communication of KPIs to the QC teams, and maintaining an updated summary of the current view
7. Maintain and constantly enhance tools, bring new ideas, and employ best practices that define industry standards.
8. Implementation of analytics tools, best practices, and novel ideas
9. Query databases to extract relevant data for reporting and analytics
10. Constantly improving the KPIs to ensure they are relevant and useable in everyday work
11. Implementation of analytics tools, best practices, and novel ideas
12. Identify the tools that should be used to analyze data and ensure that they are installed and available to the team
13. Determine best practices and areas for improvements and automation.

Core Competencies:

1. Proven ability to determine the best method to place products in the market & experience with metrics-driven decision making
2. 4+ years of experience doing quantitative analysis or comparable (manipulation and analysis of large data sets)
3. Solid understanding of fundamental statistical approaches for developing intelligent tools
4. Excellent SQL Skills (experience with MySQL is preferred!)
5. Good experience with visualization and reporting tools such as Tableau, Power BI, MicroStrategy, and others.
6. Experience of developing and implementing predictive models
7. A good quantitative background (mathematics, statistics, computer science, etc...) is highly desired.

Technical Competencies:

1. Excellent quantitative and analytical abilities with attention to detail
2. Ability to balance technical and business views
3. Analytical thinking
4. Think outside the box to create unique solutions
5. Good Knowledge of R software / Python.
6. Knowledge of statistical techniques and data science

Behavioral Competencies:

1. Highly driven, with a passion for social media and video games
2. Open for feedback and enjoys working in a fast-paced environment
3. Excellent organizational skills, self-starter, and autonomy
4. Excellent verbal and written communication abilities
5. Ability to work alone on a project or in a collaborative environment
6. Good interpersonal skills