BI (Analytics) Engineer

The Role: (Base in San Franscisco)

My client in San Francisco, US, is looking for a BI/Analytics Engineer with 4+ years of experience to own data modeling and pipelines at a rapidly scaling data company disguised as a healthcare platform. You'll join a lean but high-impact data team (currently just 3 people supporting 70+ engineers) and be responsible for building the foundational data layer that powers customer-facing reporting and future ML/AI products. This is a hands-on-deck role where you'll shape messy, complex data models into something reliable and scalable – working closely with product, operations, and engineering teams. The ideal candidate thrives in ambiguity, can quantify their impact, and brings the pace and ownership mindset of a high-growth startup

.
What you will be doi

ng
Owning and maturing the data modeling practice – building critical models and pipelines that power customer-facing reporting and analyt

ics
Scaling and cleaning up existing data infrastructure to support increasingly large and complex enterprise customer integrat

ions
Partnering closely with product management and internal operations teams to understand data needs and deliver accurate, trusted ou

tputs
Deep diving with engineers to understand complex production data and ensuring visualization platforms (Metabase) are accurate and ava

ilable
Setting the foundation for future ML and AI products by improving data quality, governance, and pipeline reli

ability
Visa Sponsorship

DetailsOpen to visa transfers (e.g. OPT, H1B tr

ansfers)Open to visa sponsorships (e.g. new

H1B, TN)
Req

• uirements
  3 - 7 years of experience in analytics/data science at a high- grow
• th companyBuilt data models and pipelines at a VC- backed startup or big tech company founded after 2005 (e. g. , not FAANG, but companies like Uber, Lyft, Stripe

• , Datadog)
  Experience partnering with product and operations teams on

• data needs
  Experience working in highly regulated industries (e. g. , fintech, shipping/logistics, insurance) dealing with large, compl

ex data s

ets
EducationBachelor's in CS, Math, Engineering, or

hard scienc

• es
  Hard skills
  Advanced SQL in complex production da

• ta environments
  Hands on experience with common data warehouses (e. g. , Snowflake, BigQue

• ry, or Redshift)
  Hands- on dbt experience for data model

• ing in production
  Familiarity with GCP/BigQuery, Py

thon, or Terr

aform

MiscellaneousAble to work 4 days/week in- office i

n Denver, SF, or NYC

****Must also have experience in VC fun

ded start up companies