Data Analytics Engineer

Heyclau

San Francisco (CA)

On-site

USD 125,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision coverage
Gym reimbursement
Home office build-out budget
Flexible time off
Learning and development stipend
HSA and FSA plans
Fertility benefits

Job summary

Heyclau is seeking an Analytics Engineer in San Francisco to own data models, analytics pipelines, and reporting surfaces for business and product teams.

You will improve data quality for operational and AI‑assisted workflows and collaborate with finance, marketing, product, and operations to translate questions into trusted data assets.

Qualifications

  • Experience in analytics engineering and data modeling.
  • Strong SQL skills and experience with production data workflows.
  • Ability to translate business questions into maintainable data assets and reports.

Responsibilities

  • Build reliable data models, analytics pipelines, and reporting surfaces for business and product teams.
  • Improve the quality and accessibility of data used in operational and AI‑assisted workflows.
  • Partner with finance, marketing, product, and operations to meet measurable data needs.

Skills

Analytics engineering
Data modeling
SQL
Production data workflows
Cross-functional collaboration

Job description

Own data and analytics engineering for Alchemy's internal AI‑ready data layer across finance, marketing, product, and operations.

What you’ll do
  • Build reliable data models, analytics pipelines, and reporting surfaces for business and product teams.
  • Improve the quality and accessibility of data used in operational and AI‑assisted workflows.
  • Partner with finance, marketing, product, and operations stakeholders on measurable data needs.
Requirements
  • Experience with analytics engineering, data modeling, SQL, and production data workflows.
  • Ability to translate business questions into maintainable data assets and reports.
  • Comfort working with cross‑functional teams that rely on trusted data for decisions.
Benefits
  • Medical, dental, and vision coverage
  • Gym reimbursement
  • Home office build‑out budget
  • Flexible time off
  • Learning and development stipend
  • HSA and FSA plans
  • Fertility benefits
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