Skip to content

Sr. Analytics Engineer

hims & hers Logohims & hers
View Organization

We're looking for a savvy and experienced Senior Analytics Engineer to build seamless data products in collaboration with our data engineering, analytics, engineering, business, and product management teams.

You Will:

  • Take the data products to the next level by developing scalable data models
  • Manage transformations of data after load of raw data through both technical processes and business logic
  • Create an inventory of the data sources and documents needed to implement self-service analytics
  • Define quality standards of the data and partner with the analytics team to define minimum acceptance criteria for the data sources
  • Data cataloging & documentation of the data sources
  • Regularly meet with business partners and analytics teams to understand and solve data needs, short-term and medium-term
  • Build trust with internal stakeholders to encourage data-driven decision-making
  • Work with all organizations to continually grow the value of our data products by onboarding new data from our backend and 3rd party systems

You Have:

  • 5+ years of experience with SQL, preferably for data transformation or analytical use cases
  • 4+ years of experience building scalable data models for analytical and BI purposes
  • 3+ years solid experience with dbt
  • Mastery of data warehouse methodologies and techniques from transactional databases to dimensional data modeling, to wide denormalized data marts
  • Solid experience with BI tools like Tableau and Looker
  • Experience using version control (command-line, Git)
  • Familiarity with one of the data warehouses like Google Big Query, Snowflake, Redshift, Databricks
  • Domain expertise in one or more of the Finance, Product, Marketing, Operations, Customer Experience
  • Demonstrated experience engaging and influencing senior leaders across functions, including an ability to communicate effectively with both business and technical teams
  • Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions and recommendations to drive actions
  • Ability to articulate vision, mission, and objectives, and change the narrative appropriate to the audience

‌