Analytics Engineer

Analytics Engineer

This job is no longer open
What is Trusted Health?

Trusted is a technology platform that connects healthcare professionals with flexible job opportunities at caregiving facilities across the country. Founded in 2017, Trusted has grown rapidly in pursuit of its mission to help people everywhere get care. In just a few short years, Trusted has become one of the fastest growing companies in the history of the healthcare staffing industry and was recognized as one of Forbes’ “Next Billion Dollar Companies.” Hundreds of thousands of clinicians have already signed up for Trusted’s platform, connecting with & working at healthcare facilities in all 50 states and the District of Columbia.

Trusted’s platform isn’t just a labor marketplace, it’s also an end-to-end employment system allowing the company to scalably serve as the employer-of-record for the healthcare professionals that they work with. This encourages deep relationships between Trusted and its clinicians and provides Trusted with the opportunity to create a best-in-class experience throughout the entire candidate lifecycle, from acquisition through retention, while eliminating stressful, employment-related overhead from both our clinical professionals and healthcare partners.

Trusted’s headquarters is located in San Francisco’s Financial District, though it has taken a digital-first approach to building its workforce and the majority of their team resides outside the Bay Area.

What we’re looking for:

We’re looking for an Analytics Engineer to manage our ELT (Extract, Load, Transform) process and create high integrity and easy to use data-sets.  SQL should be your native language with a touch of Python and you’ll be helping us make the most out of a state-of-the-art tech stack composed of Fivetran, Segment, Snowflake, DBT, and Looker. You’ll excel in a startup environment dealing with ambiguity and making conscious decisions with an eye on scaling, but an understanding that when things move fast sacrifices need to be made.  What type of data doesn’t matter to you, the structure and quality of the data is what is of the utmost importance for you to do your job well.

Your responsibilities:

    • Ensure the integrity of transformed data so that stakeholders are using the highest quality data available.
    • Manage the middle of the stack for analytics, partnering closely with engineering and data analysts
    • Become a systems expert for data flows, data quality checks, and the data analytics stack

Who you are:

    • You’re able to deal with ambiguity and drive clear outcomes
    • You can pick up and understand data flows of new systems easily
    • You’ve got a keen eye for detail and are able to problem solve discrepancies and issues 
    • You’re able to learn from industry experts to help them identify the best metrics and structures to assist their goals

You have:

    • 4+ years of analytics oriented experience
    • 1+ year focus on data modeling, ELT, or ETL
    • 1+ year of Python experience
    • 3+ years of SQL experience

Trusted Health provides equal employment opportunity for all applicants and employees. All qualified applicants will be considered regardless of an individual’s race, color, sex, gender identity or expression, religion, age, national origin, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, military or veteran status, or any other basis protected by federal, state or local laws. If you cannot submit your application due to a disability, please email hello@trustedhealth.com; we will reasonably accommodate individuals with disabilities to the extent required by applicable law.
This job is no longer open
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