Pay: Salary not listed in the saved posting
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Employment: Unconfirmed

What you’ll work on

As our first data hire, you will lay the foundation for our company-wide data architecture and analytics strategy.

Design robust data models and data transformation layers to turn raw operational data into clean, production-ready datasets
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

From the employer’s posting

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.

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

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

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

Tools in this posting

SQL
dbt
Google Cloud (GCP)
Python
BigQuery

Source

- 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

- 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

Nice to have - BigQuery or a GCP data stack - HubSpot as a source system

- 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

Benefits in the posting

Full benefits wording

Medical, dental, and vision, and a 401(k) with a 100% match up to 4%
Comp Philosophy
Cash for stability. Bonus for performance. Equity for ownership. Your package reflects your role, your experience, and what you deliver.

From the employer’s posting.

About Bobyard

Construction is a trillion dollar industry that still runs on manual work.

In the employer’s words · Read in context

Job description

View original posting ↗

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

Cash for stability. Bonus for performance. Equity for ownership. Your package reflects your role, your experience, and what you deliver.

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.

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Source & posting history

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Source notes

Source excerpts

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Pay: No pay amount identified in the saved description.
Location & working pattern: San Francisco, California, United States
- 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
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

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