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Senior Analytics Engineer
Updated on 1/26/2023
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Data Analysis
Git
Airflow
Redshift
Snowflake
SQL
Tableau
Python
Looker
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
  • Experience working with management to define and measure KPIs and other operating metrics
  • Understanding of SDLC and Agile frameworks
  • Project management skills and a demonstrated ability to work autonomously
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
Desired Qualifications
  • Experience working in tele-health or e-commerce
  • Previous working experience at startups
  • Knowledge of Python programming
  • Knowledge of Airflow, and modern data stack (Airflow, Databricks, dbt, Fivetran, Tableau/Looker)
  • ML training model development
hims & hers

201-500 employees

Personal telehealth wellness
Company Overview
Hims and hers offers a modern approach to health and wellness. Their mission is to eliminate stigmas and make it easier for people to access care and treatment for the conditions that impact their daily lives.
Benefits
  • Full healthcare - High-coverage medical, dental & vision coverage for individuals and families
  • Generous PTO
  • Retirement planning - Take advantage of our 401(k) plan including contribution matching
  • WFH stipend
  • Robust compensation
  • Employee discount
  • Utility stipend - An extra $75 each month to cover extra cell phone, internet, or data usage
  • Spending accounts - Options for additional HSA and FSA plans to help toward healthcare costs
Company Core Values
  • Acting with integrity
  • Working together
  • Diversity, equity and inclusion
  • Preserving trust
  • Enhancing sustainability
  • Protect employee health and safety