Data & Reporting Lead

Location: San Francisco, CA

Type: Full Time

Min. Experience: Experienced

About Zipongo

Zipongo is a digital nutrition platform that takes the guesswork out of healthy eating with personalized meal recommendations based on biometrics and food preferences. We work with employers, health plans and wellness companies to reduce chronic disease and improve the health of their employees and members. Our solution delivers real-time support for all the places a person makes food decisions – at home, at work, at the grocery story, and at restaurants. Pointing users to the healthiest recipe and menu choices reduces the likelihood of making poor food choices based on convenience, cost and other factors.

We're on a mission to reduce chronic disease by making it easy to eat well. Are you ready to join our team and make a difference?

About the Data Science & Analytics Team

The Data Science & Analytics team at Zipongo is diverse, agile, responsive to great ideas, and growing fast! If you’re passionate about using data to solve challenging problems around nutrition and wellness, then this is the place to be.

About You

You know data.  You can visualize the bits flying around in your head at a very large scale, swirl around, and can predict the shape and location and shape in which it lands where it’s most valuable.  You’re an expert in relational data technology, dimensional modeling, ETL concepts, and modern data pipelining frameworks.

You are a crack business analyst.  You know that data is worthless in a vacuum, and you habitually use it to inform operational concerns proficiently, meaningfully, and intuitively.  You can translate business questions into reusable data systems without overfitting.  You speak business language as well as engineering language, and like operating in both spaces.

You get things done.  You know how to marshall cross-functional teams across data science, engineering, product, and marketing to get things delivered.  And when there are gaps you can identify them and roll up your sleeves to pick up the slack.  You deal with ambiguity well -- and can lead teams through it.

You want to be part of a fast-moving startup environment.   You move and pivot quickly, and drop very few balls while doing so.   You can act tactically while also building strategically.  You love a challenge and thrive on opportunities to innovate collaboratively.  You have a personal interest in health and wellness and can get behind Zipongo's mission.


  • Build out our current analytic data ecosystem (currently AWS RDS & Redshift), and shape the ecosystem during the company’s next phase of growth.  
  • Manage, model, and maintain the core database assets for the company’s reporting, analytics, and data science concerns.  Ensure ongoing quality and trust in the data.
  • Own the architecture and buildout of the company’s reporting and analysis platforms (Looker & Tableau) for internal company and product analysis, as well as external client or investor assets.
  • Identify and scale out the ecosystem to encompass other high value public and / or partner datasets.
  • Conduct ongoing analysis to provide insights across all departments in the company, and extrapolate from any ad hoc work to inform and build assets for sustained repeatability.
  • Establish and mentor other Data Science team members -- as well as the broader organization -- on best practices for accessing and utilizing the data.

What we're looking for

  • A data expert with a proven track record of crafting well-engineered, resilient, high-quality data systems - and more importantly making them valuable and useful across a variety of platforms and disciplines.
  • A person who can be self-directed, initiating and driving data projects with minimal guidance.
  • Experience building elastic assets in a large cloud-centric technology environment.
  • Excellent interpersonal, teamwork, and communication skills.
  • Business acumen and leadership skills

Bonus points for

  • Nutrition/culinary/health knowledge and interest -- experience in the Health Tech field a plus. 
  • Formal experience in a scripting or programming language.
  • Statistical and modeling experience.

To all recruitment agencies (unless otherwise notified in writing): Zipongo does not accept agency resumes. Please do not forward resumes to our job alias, Zipongo employees or any other Zipongo company location. Zipongo is not responsible for any fees related to unsolicited resumes.


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