Analytics Manager

About the role

In this fully remote position, we are looking for an experienced analytics leader who is passionate about using data to help people feel better and be their best selves. This role offers the opportunity to touch a diverse set of functional areas and knowledge domains data science, product, care, research, marketing and customer success. Key responsibilities will include building data models that provide relevant and intuitive analytics to both internal and external stakeholders, and leading and growing a team of data analysts.

Responsibilities

• Mentor and develop analysts on the team, helping them advance in their careers and achieve impact.

• Orchestrate our analytics project lifecycle for the whole team. Work with organizations in Ginger to translate needs to solutions, build statistical models, and present findings and insights. Examples include:

  • Measuring treatment effectiveness, assessing operational efficiency, forecasting both supply and demand.

  • Understanding product engagement, feature use patterns, etc.

  • Synthesizing Ginger and Headspace data and data from third party vendors to create a whole greater than the sum of the parts

• Foster a culture of broad access to data. Surface and join data from various locations and build dashboards that make this data accessible and actionable.

• Develop expertise on mental healthcare data sets and lead their modeling to enable insights.

• Partner with machine learning engineers to validate and evaluate model outputs, providing quantitative recommendations that inform next steps.

• Build and prototype new analysis tooling (e.g. Looker + Python connector) that unlock deeper insight into our treasure trove of data

• Use appropriate tools (e.g. Python, R) to analyze and visualize data.

• Maintain and add to existing analytics infrastructure (Looker).

Requirements

• 2+ years of experience in managing other team members in a formal or informal capacity

• MS with 4+ years of experience (or BS with 5+ years of experience) in statistics, data science or appropriate quantitative fields.

• Experience leading cross-functional projects with different teams and disciplines across the organization

• Experience in querying large and complex SQL databases and doing ETL across systems and databases (Plus: Redshift, Spark/Hadoop, AWS).

• Experience in analyzing data statistically using Python.

• Strongly prefer someone with industry experience working with healthcare data,, product teams, or customer facing teams.

• Experience preparing, modeling, and transforming business data to better understand the needs and performance of the company.

• Experience with building visualizations, trend analysis, forecasts, statistical testing, and data-storytelling.

• Development experience in business intelligence, data warehouses, and related technologies (Plus: Looker or Tableau).

• Strong communication skills and business acumen.