Senior Data Analyst

#communityhealth #healthcare

About Us:

Cityblock Health is the first tech-driven provider for communities with complex needs—bringing better care to where it’s needed most, block by block. Founded in 2017 on the premise that “health is local” and based in Brooklyn, we are backed by Alphabet’s Sidewalk Labs along with some of the top healthcare investors in the country.

Our mission is to improve the health of underserved communities. Importantly, our solutions are designed specifically for Medicaid and lower-income Medicare beneficiaries, and we meet our members where they are, bringing care into the home and neighborhoods through our community-based care teams and Virtual Care offerings.

In close collaboration with community-based organizations, local providers, and leading health plans, we are reorganizing the health system to focus on what matters to our members. Equipped with world-class, custom care delivery technology, we deliver personalized primary care, behavioral health, and social services to deliver a radically better experience of care for every member and community we serve.

Over the next year, we’ll grow quickly to bring better care to many more members and their communities. To do this, we need people who, like us, believe that everyone should have good care for what matters to them, in their community. 

Our work is grounded in a belief in the power of a diverse community. To close gaps in care and advance equity in the communities we serve, we have to start with making our own team diverse and inclusive. Our ways of working are characterized by creativity, collaboration, and mutual learning that comes from bringing together a community from diverse backgrounds and perspectives. We strive to ensure that every person on the Cityblock team, and every Cityblock member, feels supported and included as a part of our community.

Our Values:

• Aim for Understanding
• Be All In
• Bring Your Whole Self
• Lean Into Discomfort
• Put Members First

About the Role:

We are seeking a curious, experienced data analyst to bridge between product, clinical, and operational teams. This analyst will be directly embedded on a product team for close collaboration with other technical and clinical experts within a domain.

To succeed in this role, a candidate should have a strong sense of curiosity, a propensity towards action, and a desire to work in agile, flexible teams. In this role, you should feel comfortable working with and advising experienced business executives, technical stakeholders, engineers, product managers, and clinical teams. This analyst could find themself supporting clinical leaders designmember care models, analyzing member intervention experiments, designing user-focused database tables with data engineers, and building new data-based tools to solve complex operational problems all in the same week.

Healthcare data is complex and vast, so you must be excited about sinking your teeth into complex problems, untangling them and carefully communicating your findings across a diverse array of stakeholders. You should have a willingness and desire to learn new technical skills and domain knowledge. Behind every datapoint is a real neighbor, friend, or family member. The Analytics team is responsible for delivering accurate and timely insights and tools to steer our larger care efforts.

If you have a passion for health care data, advising executives on data-driven solutions, driving value with analytical insights, learning new skills, and working with and for folx from all backgrounds and identities, we want to hear from you!

Requirements for the Role:

• 4 years experience in delivering actionable insights in big data environments resulting in:
• Fluency with SQL for multiple databases (BigQuery, standard MSSQL, PL/SQL, MySQL, PostgreSQL, Teradata)
• An understanding of relational database structures, theories, principles, and practices
• Experience in creating independent testing protocols to ensure accuracy of queries and analyses.
• Ensure data quality and validation and utilize a range of data cleansing techniques to correct both ad hoc and systemic issues.
• A desire to operate in a development environment using GitHub
• 3 years experience with business intelligence tools resulting in:
• A high-degree of familiarity with at least one business intelligence tool (Looker preferred).
• A strong understanding of data visualization best practices both for explanatory and exploratory reporting
• Comfort in creating operational sources of truth, tools, and guides for daily data end users.
• 2 years running experimentation analysis and testing in a business setting resulting in: