Data Analyst

US /
Commercial /
Full time
At Big Health, our purpose is to help millions back to good mental health. Our “digital therapeutics” - Daylight™, for worry & anxiety, and Sleepio™, for poor sleep - are fully automated cognitive and behavioral programs that are as scalable and clinically validated as drugs. Our software combines the intimacy of the human voice, engaging animation, and clinically rigorous techniques to help people overcome their mental health challenges. Big Health’s products are backed by 50 published clinical papers including 13 randomised controlled trials (RCTs), and are cited in leading clinical guidelines including the American College of Physicians and NICE. Today, over 12 million people worldwide have reimbursed access to Big Health’s products, via leading employers in the US and the UK’s NHS

As an Analyst at Big Health, you will develop a definitive knowledge of user data for our products and use that knowledge to answer big-picture questions about how people interact with our products and what outcomes they achieve.  Your work will ensure our products reach the people who need them, inform decisions all the way up to the executive level, and keep us ahead of the curve by identifying the metrics that matter.

Responsibilities and Outcomes

    • Provide accurate reporting on user engagement and behavior to internal consumers company-wide. 
    • Consolidate frequent requests into dashboards and other on-demand resources.
    • Help the Customer Success and Sales teams make their cases with compelling quantitative claims and sound supporting evidence.
    • Identify trends in client, end user, and marketing data that make the Customer Success team more effective at driving adoption of our products. Write scripts that automate regular reporting to clients and partners.
    • Develop engaging ways to depict and present multifaceted outcomes data to clients.
    • Manage financial datasets and the processes for keeping them up-to-date and accurate.

Core Competencies

    • You should be able to write complicated SQL queries, be a power user of R or Python for data analysis and manipulation, have some experience with scripting, and have strong skills in Excel/ Google sheets.
    • Comprehensive data manipulation abilities that allow you to confidently transform data while maintaining its integrity using all the tools listed above.
    • Exceptional attention to detail - the numbers you share will have a big impact, so you will need to be sure that they reflect what you intend.
    • Strong communication and presentation skills.  Analyzing and compiling data is only the first step - you also need to be able to effectively communicate your findings to the rest of the team (including people who aren’t familiar with data analysis).
    • Experience with stakeholder management. You will need to juggle diverse requests from across the company, so the ability to set expectations and hit the hard deadlines you agree to is essential.

Life at Big Health

    • Be part of a team that includes clinical psychologists, software engineers, business leaders and even a former professional magician [shh… it’s a secret]. 
    • Surround yourself with the smartest, most enthusiastic and dedicated people you’ll ever meet, but who listen well, learn from their mistakes and when things go wrong, generously pull together to help each other out 
    • Check out our values - they’re a living, breathing part of our culture
    • Enjoy benefits including a generous vacation policy, professional development fund, flexible working locations and more.
    • Competitive salary packages including stock options.
Because we are on a mission to bring millions back to good mental health, we believe it’s essential to reflect the diversity of those we intend to serve. We’re an equal opportunity employer dedicated to building a culturally and experientially diverse team that leads with empathy and respect. Additionally, we will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance