hims & hers is hiring a
Sr. Analytics Engineer

Summary

Hims & Hers is looking for an experienced Senior Analytics Engineer to build data products and collaborate with various teams. The engineer will develop scalable data models, manage data transformations, create data inventories, define quality standards, document data sources, and meet with business partners to understand and solve data needs. The candidate must have experience with SQL, building scalable data models, using dbt, and be familiar with BI tools and version control.

Requirements

• 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

Responsibilities

• 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

Benefits

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats