Sr. Analytics Engineer

​​About the Role:

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 system

You Have:

• 8+ 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 of 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

Nice to Have:

• Experience working in telehealth 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

Our Benefits (there are more but here are some highlights):

• 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

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