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Senior Analytics Engineer, Marketing Sciences

SimplePractice
Location
United States
Posted
1 month ago
Department
Marketing
What they actually want (must-haves)
  • Expert proficiency in Snowflake and DBT
  • Proficient in Python and SQL
  • Proven experience handling semi-structured API data (JSON) from marketing sources
  • Expertise in designing, implementing, and managing Segment event pipelines
  • Ability to lead a technical vision impacting business-critical metrics like LTV, CAC, and ROAS
  • Experience working in an Agile (SCRUM/Kanban) environment
Nice to have
  • Experience with Reverse ETL tools (e.g., Census, Hightouch)
  • Familiarity with Real-time ETL (Kafka streaming, AWS Kinesis)
  • AWS DevOps experience (Terraform, Kubernetes, Docker)
What the job really is

As a Senior Analytics Engineer at SimplePractice, you will lead the development of the Marketing Sciences data ecosystem, focusing on building scalable data pipelines and enabling predictive models for growth initiatives. Your role will involve collaborating with various teams to ensure accurate data for marketing attribution, demand modeling, and A/B testing, while also integrating marketing technology platforms to maintain data consistency across the organization.

Benefits
  • Medical, dental, vision, life & disability insurance
  • 401(k) plan with company match
  • Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays
  • Mental health resources
  • Paid parental leave & Backup Care
  • Tuition reimbursement
Things to weigh
  • No salary listed in the posting, but a range of $160,000 - $200,000 is mentioned
  • The role requires a strong technical background in modern data stacks and marketing data, which may be demanding for some candidates
Job score3.2/5
Benefits4/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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