Senior Data Analyst

Posted 7 Days Ago
San Francisco, CA, USA
In-Office
140K-160K Annually
Senior level
Information Technology • Internet of Things
AI Landscaping Takeoffs & Estimates
The Role
Build and maintain the company’s data warehouse, ELT/ETL pipelines, data models, metric definitions, dashboards, reporting, and data quality governance. Partner with leadership and cross-functional teams to answer strategic questions and enable data-driven decisions. This role is the company’s first data hire and will establish the foundational analytics architecture and practices.
Summary Generated by Built In


About Bobyard

Construction is a trillion dollar industry that still runs on manual work. Contractors measure and count materials off drawings by hand, and it takes forever. Bobyard uses AI to automate takeoffs and estimates so bids get done 10x faster. We're Series A, backed by 8VC, Primary, and Pear, and revenue is doubling quarter over quarter.

About the role

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

What we're looking for

  • 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

What we offer

  • $140K–$160K base + equity

  • Medical, dental, and vision, and a 401(k) with a 100% match up to 4%

  • The whole data function to build, with the CEO reading what you ship

  • On-site in SF at 101 Second Street — we build together


Comp Philosophy

We are proud to offer competitive, top-of-market compensation because we want to celebrate the dedicated people who ship amazing work and drive our success. Our individual compensation is thoughtfully tailored based on your role, experience, and contributions, alongside performance-based rewards.

Skills Required

  • 5+ years of experience 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 skills and hands-on data modeling with dbt or an equivalent transformation framework
  • Python experience for ETL and ELT work, including API pulls, scripts, and scheduled jobs
  • Experience building a data warehouse and its pipelines from scratch at a company with fewer than a few hundred employees
  • Fluency in B2B revenue funnel concepts, including pipeline, CAC, and net revenue retention
  • Ability to define and defend metrics and gain adoption from business leaders
  • Experience with BigQuery or a GCP data stack
  • Experience using HubSpot as a source system
  • Experience building financial or data controls or supporting a SOC 2 audit
  • Previous experience as the first data hire at a company

Bobyard Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bobyard and has not been reviewed or approved by Bobyard.

  • Healthcare Strength Benefits are described to include health, dental, and vision insurance, indicating a solid core medical offering.
  • Retirement Support A 401(k) is advertised, suggesting foundational retirement benefits are in place.
  • Career-Linked Recognition & Rewards Bonuses are tied directly to exceptional performance across roles, signaling rewards linked to impact.

Bobyard Insights

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The Company
HQ: San Francisco, California
30 Employees

What We Do

Construction is one of the largest industries in the world, but it is also one of the least technologically innovative spaces. Conducting fast and accurate cost estimates is a massive pain point. Bobyard automates the construction takeoff process with CV and NLP models to make cost estimates 10x faster while eliminating mistakes.

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