Senior Data Analyst

As a Senior Data Analyst at Headspace, you will spearhead key projects driving performance metrics across enrollment, activation, and member retention. You'll collaborate with cross-functional teams, create scalable analytical frameworks, and provide strategic recommendations based on your in-depth statistical analysis. Your expertise will help us make data-informed decisions that align with our mission in the digital health space.

To qualify for the Senior Data Analyst role at Headspace, candidates should have over 5 years of analytics experience, ideally in the Digital Health or SaaS industries. A strong background in big data technologies, as well as experience in healthcare analytics and managing data products, will also help set you apart as a candidate.

In the Senior Data Analyst position at Headspace, you will collaborate with data stakeholders to define and specify data product requirements. Your role includes delivering automated reporting solutions and ensuring that high-quality dashboards are developed, effectively supporting our data-driven initiatives and enhancing user engagement and retention.

The work environment for a Senior Data Analyst at Headspace is collaborative and innovative. You’ll work closely with teams from various functions, including Engineering, Product Management, and Marketing, fostering an inclusive culture that emphasizes diversity and mutual respect while pushing the envelope in data and analytics initiatives.

Senior Data Analysts at Headspace can expect a competitive salary within the range of $122,400 to $195,500, alongside a comprehensive benefits package that includes stock awards, healthcare coverage, a monthly wellness stipend, a lifetime Headspace membership, and generous parental leave, among other perks designed to support overall well-being and work-life balance.

In answering this question, describe the project’s goals, your analytical approach, and the tools you used. Highlight how you collaborated with other teams and the positive outcomes achieved through data-driven decisions.

Explain your approach to understanding business objectives and how you translate them into actionable analytics initiatives. Highlight your experience working alongside executive leaders and how feedback loops integrate into your analysis.

Discuss various statistical methods that are integral to data analysis such as regression analysis, hypothesis testing, and A/B testing. Emphasize your experience applying these methods to drive meaningful business outcomes.

Articulate a structured approach, such as root cause analysis or the use of analytical frameworks to identify and resolve data discrepancies. Show your ability to investigate issues systematically while collaborating with relevant stakeholders.

Mention specific tools that are relevant to the role such as Redshift, Databricks, and Spark. Discuss how you leverage these technologies to analyze large datasets and derive insights efficiently.

Talk about how you simplified complex data insights into digestible information, using visuals or analogies to communicate your findings effectively. Illustrate the impact your presentation had on business decisions.

Discuss time management strategies and how you prioritize tasks based on deadlines and stakeholder needs. Mention tools or methodologies like Agile or Kanban that help you keep track of your projects.

Convey your commitment to continuous learning by mentioning industry publications, webinars, or professional associations you follow. Highlight how staying informed helps you bring innovative ideas to your role.

Outline your process for gathering requirements from stakeholders, considering key metrics of interest, and iterating on the design based on feedback. Emphasize the importance of clarity and usability in dashboard design.

Discuss your passion for making a difference in the mental health space and how data analysis plays a critical role in providing accessible services. Your answer should reflect your alignment with Headspace's mission.