Senior Manager, Data Analytics
SimplePractice
AWSCloudETLPythonSQLTableau
Analytics Engineer
Tavus
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSCloudETLPythonSQL
About the role
- Own data pipelines: Design, build, and maintain reliable ETL/ELT pipelines to ensure the right data gets to the right place, fast and accurately.
- Build the data foundation: Architect resilient, maintainable dbt models and schemas that serve as the trusted source of truth across the business.
- Shape the modern data stack: Help evolve our tools, infrastructure, and architecture to meet the needs of a rapidly scaling AI startup.
- Bridge science and business: Partner with Leadership, growth, and GTM teams to proactively build datasets and models that unlock experiments, insights, and product features.
- Improve quality and discoverability: Establish best practices for data validation, governance, documentation, and metric definitions to drive consistency and trust.
- Enable self-service: Create intuitive data products and tools that empower non-technical teams to answer questions and make decisions independently.
- Push the frontier: Experiment with emerging AI/ML and data tools, integrating them into our workflows and shaping the future of data at Tavus.
Requirements
- 5+ years of experience in analytics engineering, data engineering, or adjacent roles
- Expertise in SQL, Python, and cloud infrastructure (AWS preferred)
- Hands-on experience with Metabase, Orb, Salesforce, Snowflake, and ETL tools
- Strong statistical and data science skills (experimentation, modeling, forecasting, ML workflows)
- A builder’s mindset: you care about scalability, reusability, and speed of iteration
- Intellectual curiosity and resourcefulness: you love digging into problems and finding elegant, pragmatic solutions
- A track record of bias to action: you don’t just analyze, you drive change and impact
- Excitement about working in a fast-paced, research-driven environment where the boundaries of human–machine interaction are being rewritten
- Bonus points if you’re using AI in your current workflows
- Strongly preferred: experience working with Salesforce (CRM and revenue data), Orb (usage & billing), and Stripe (payments & financial data)
