Senior Data Analyst - QV

Job Description

The Opportunity Ahead:

As a Senior Data Analyst on the EAX Quality Verification Data team you will play a key role in analyzing our operational data to improve the Quality Verification (QV) strategies. You should be a sharp, curious, and analytical individual who has a real passion for diving into data to solve business problems. Your insights will influence how we build and verify the quality of our games.

What a Senior Data Analyst does at EAX QV team:
• Evaluates and interprets data to extrapolate risks and opportunities.
• Designs and develops statistical analysis models for quality verification testing, prediction, or inference.
• Prepares thorough and detailed reports that help the team identify key areas of insights and opportunities to drive future decision-making.
• Presents analysis conclusions to clients in a clear, understandable, and valuable way.
• Communicates clearly (and as often as needed) with team members and business partners.
• Outgoing champion for data quality; crafting data quality policies and data governance.
• Drives methodologies in tools and visual technologies for building live project data dashboards that provide key data for project monitoring and decision-making.
• Develops and maintains scripts and queries to import, clean, transform, and augment data.
• Designs, evaluates, and monitors key metrics with business partners.
• Acts as mentor and provides development tools to the team of data analysts.
Our Next Senior Data Analyst needs:

Experience:
• 4+ years of work experience in a past analytical role, demonstrating their expertise with data to drive process improvements.

Tools:
• Ability to work with different types of data (relational, big data, textual, etc.), and accessible through different means (SQL, REST API, etc.)
• Strong knowledge of different data software analytics and visualization tools such as New Relic, Redshift, Elasticsearch, Google Analytics, PowerBI, Kibana, Grafana, etc.
• Understands well how data is stored in databases and can write fast and reusable SQL code to retrieve it.
• Crafts performant and intuitive data models that can be further used for visualization by the team.
• Visualizes high readability data insights using software tools like Power BI, Tableau, or Excel.
• Writes efficient Python or R code to answer data analysis questions with a high degree of confidence.
• Must be very familiar with developing and implementing machine learning
• Understands the requirements of the of Agile/Waterfall process and adjusts their work as needed.
• Produces polished and engaging presentations that rally the support of business partners.

Education:
• Bachelor's/Master's degree in a technical field (e.g. Computer Science, Statistics, Engineering, Mathematics, Economics) and successful completion of post-secondary level Math and Statistics courses.

Skills:
• Extraordinary problem solving, creative thinking, and analytical skills.
• Ability to initiate and maintain close collaborative partnerships with coworkers and business partners.
• Ability to take ownership of projects and look for new problems to solve and new concepts to implement.
• Very good foundation of math and statistical knowledge including an understanding of probability, correlation, regression, classification, and the development of statistical models.
• Quick learner with an innate desire to continually learn, adapt, and develop abilities.
• Skillful communicator who is not afraid to ask questions and brings new insights to light.
• Teamwork in working with business clients and working in a larger team environment.
• Can establish a sense of urgency and prioritize effectively to manage multiple tasks.
• Able to work independently and drive for solutions with all business partners.

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Jobcode: Reference SBJ-r0yexm-13-59-195-118-42 in your application.