Analytics Engineer, Corporate Reporting
Bellingham, Arizona, United States of America
Full Time
2 hours ago
$100,000 - $110,000 USD
No H1B
Key skills
PythonSQLAnalyticsBIPower BIDatabricksdbtVersion ControlSaaSSales
About this role
Role Overview
- Corporate metrics + modeling (dbt + Databricks): Build and maintain dbt models (marts and intermediate layers) in Databricks that power corporate reporting.
- Executive dashboards + semantic model ownership (Power BI): Own the Power BI semantic model and the dashboards used by senior leaders and functional teams.
- Data quality + operational excellence (Elementary): Implement and maintain Elementary tests and monitoring for freshness, volume, schema changes, and key metric integrity.
- Analytics that matures toward data science (SQL + Python): Use SQL and Python to answer business questions beyond dashboards: segmentation, cohorts, funnel analysis, churn drivers, onboarding performance, and product usage patterns.
- Cross-functional partnership and clarity: Collaborate with Finance, Product, Marketing, Sales Ops, and Engineering to reconcile definitions and edge cases.
Requirements
- Strong experience with SQL (complex joins, window functions, performance tuning, and debugging).
- Strong experience with Python for analysis (data wrangling, validation, notebooks, basic modeling workflows).
- Hands-on experience with Databricks (Delta tables, notebooks/jobs, working with large datasets).
- Experience building and maintaining Power BI dashboards and semantic models (DAX, modeling, performance).
- Comfort owning production-grade reporting: reliability, stakeholder expectations, and ongoing iteration.
- Familiarity with Elementary (or equivalent data observability/testing tools).
- Statistics foundation (confidence intervals, sampling bias, regression basics, experimentation literacy).
- Experience with SaaS metrics (retention, churn, ARR/MRR, cohorts, conversion funnels).
- Experience operationalizing analysis (scheduled outputs, monitored metrics, version control, basic CI practices).
Tech Stack
- Python
- SQL
Benefits
- Competitive medical, dental, and vision insurance
- Company-paid basic life, long-term, and short-term disability
- Flexible paid time off
- 10 company-paid holidays per year
- 4 weeks' paid sabbatical after 10 years of service with an additional stipend
- Paid maternity and paternity leave policy
- Health Savings Account and Flexible Spending Account options
- 401(k) plan (Includes an employer match of up to 4%)
- Awards and recognition program