Duties: 

• Work closely with Product and Operations leads to design, execute and evaluate launches using techniques such as A/B tests and causal inference. 
• Provide guidance for cross-functional teams on learnings from launches and how to improve the product and experience for our customers.
• Build metrics, dashboards, and data sets that drive AirCover OKRs and uncover insights to improve the user experience.
• Collaborate closely with cross functional teams such as product, operations and engineering to build metric and logging specifications that can be used to develop metrics and dashboards for our partners.
• Empower Operations and Product partners to answer data questions quickly by providing data tools, data literacy, and guidance on how to use data and data products in their work.
• Communicate regular updates to senior leadership and stakeholders.
• Work with leadership to create and deliver strategic analytics roadmap.
• Work closely with operations and product teams to prioritize and deliver ad-hoc data requests to drive business value.
• Utilize and build AI tools that can be leveraged by yourself and stakeholders to accelerate time to insights.

Skills: 

• 5+ years of industry experience in business analytics and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
• Experience supporting Operation teams and/or have worked closely in that space.
• Expert skills in SQL and expert in at least one programming language for data analysis (Python or R).
• Experience with non-experimental causal inference methods, experimentation, and machine learning techniques, ideally in a multi-sided platform setting.
• Working knowledge of schema design and high-dimensional data modeling; experience with ETL best practices.
• Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision. 
• You can identify issues both within and outside of your immediate scope, and propose solutions.
• Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences.
• Ability to drive data strategies that can be leveraged to increase data literacy and insights for your stakeholders.
• Knowledge and experience in insurance industry – a plus Knowledge and experience in customer experience measurement – a plus

Education:

• Degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).

The hiring range for this position is $72 to $82 per hour. The base pay actually offered will take into account internal equity, and may also vary depending on candidate's geographic region, job-related knowledge, skills, and experience amongst other factors.

Harvest Technical Services is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or any other federal, state, or local protected class.