Sr. Analytics Engineer
hims & hers
Salary
An estimate of the current salary range is: $150,000 - $180,000 USD
Location
Remote
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
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