What are the primary responsibilities of this role? 

• Collaborate with Data Architect, Data Engineers, and Analytics team to develop a data quality monitoring framework
• Collaborate with Analytics Engineering and Data Engineering on governance strategy
• Subject matter expert on selected data domains, and an active participant in data governance, including contributing to metadata, documentation, and definitions.
• Design and execute analyses to evaluate data quality from the perspective of completeness, consistency, and timeliness.
• Create dashboards to track, report, and monitor data quality
• Identify and troubleshoot data quality issues; communicate data quality issues to users as needed.
• Demonstrate a flexible, yet precise, approach to communication adapting to both technical and non-technical audiences.
• Contribute to an inclusive and supportive learning environment in the Analytics team through mentorship and training roles.
• Lead in developing scalable and dynamic analytics frameworks, by identifying, scoping, and leading the execution of projects.

What are the specific tasks that will be performed and what percentage of time will the individuals in this role spend doing each task? 

(total should sum to 100)

• (60%) Data coding and mining in SQL, python, R and/or excel
• (20%) Meeting and collaborating with team members and other departments 
• (10%) Running, debugging, and refining regularly scheduled reports 
• (10%) Communicating your analytical results verbally and in writing with stakeholders

Qualifications:

• 4+ years experience in a complex, fast-paced, quantitative environment with a high bar for attention to detail and quality of work
• Experience planning, developing, and executing test strategy across products and platforms.
• Led quality assurance efforts that align with product objectives and develop scalable solutions.
• Implement and evolve QA processes to get effective test signals and scale testing efforts across multiple products.
• Define quality metrics and implement measurements to determine test effectiveness, testing efficiency, and measure the overall quality of the product.
• An education in mathematics, economics, statistics or other quantitative field, or equivalent experience
• Experience in at least one coding language such as Python, SQL, R, Stata, or other data processing and analytics environment.  Strong preference for SQL.
• Fast learner, takes initiative, and eager to own projects
• Strong passion for learning and making things better, particularly in healthcare
• Experience mentoring others and contributing to an inclusive and supportive learning environment
• Above all, you are self-sufficient, intellectually curious and take ownership for everything you do
• Someone who has shown an interest in helping others with their analytics skill set particularly in the healthcare industry
• Lead quality assurance efforts that align with product objectives and develop scalable solutions.
• Help solve cross-platform engineering challenges and contribute creative ideas to improve quality.
• Implement and evolve QA processes to get effective test signals and scale testing efforts across multiple products.
• Define quality metrics and implement measurements to determine test effectiveness, testing efficiency, and measure the overall quality of the product.
• Partner with engineering and infrastructure teams to leverage automation for scalable solutions to prevent regressions and ensure reliability of product.