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# Data Analyst

- **Company:** BOBBY YORK CONSTRUCTION
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), BigQuery, Data Architecture, Data Validation, Data Control, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Python (Programming Language), Operational Data Store, SQL Databases, Sql Optimization, Information Technology, Hubspot, Data Pipelines
- **Published:** September 10, 2026
- **Apply:** https://startup.jobs/senior-data-analyst-bobyard-10017715

## About the Role

* 5+ years in analytics, analytics engineering, or business intelligence
 * Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Data Science, or a related quantitative field
 * Advanced SQL and hands-on data modeling with dbt or an equivalent transformation framework
 * Python for ETL and ELT work - API pulls, scripts, scheduled jobs
 * You've built a data warehouse and its pipelines from scratch at a company under a few hundred people
 * Real fluency in a B2B revenue funnel - you know what pipeline, CAC, and net revenue retention mean and why they move
 * You can define a metric, defend the definition, and get a sales leader to adopt it

Nice to have

 * BigQuery or a GCP data stack
 * HubSpot as a source system
 * Experience building financial or data controls, or supporting a SOC 2 audit
 * You were the first data hire somewhere before

## Description

As our first data hire, you will lay the foundation for our company-wide data architecture and analytics strategy. You will design, build, and maintain our data pipeline and warehousing infrastructure, centralize fragmented data sources, and establish reliable metric definitions across the organization. In this role, you will work closely with cross-functional leadership to deliver actionable insights, build high-impact dashboards, and enable data-informed decision-making at every level of the business.

What you'll do

 * Architect, scale, and maintain our central data warehouse and scalable ELT/ETL pipelines across internal systems
 * Design robust data models and data transformation layers to turn raw operational data into clean, production-ready datasets
 * Establish, document, and standardize core business metrics and KPIs to ensure organizational alignment
 * Deliver executive- and operational-level reporting, performance tracking, and analytical models for company leadership
 * Develop intuitive BI dashboards and self-service analytics tools for teams across business operations, product, and strategy
 * Partner directly with key stakeholders across departments to identify analytical needs and answer strategic business questions
 * Write clean, efficient, and well-tested SQL and code to automate ingestion, data quality monitoring, and reporting
 * Implement automated data validation, quality assurance tests, and governance practices as our data ecosystem matures


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