Higharc

Analytics Engineer

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

About Us
Higharc is a VC-backed startup that is changing how new homes are designed and built. Join a founding team who’ve shipped products for Autodesk, Electronic Arts, Nike, and Apple. We have raised over $175M with support from top-notch venture capital firms and more than 18 strategic investors—industry leaders in construction, building products manufacturing, and distribution.
Higharc is seeking an expert Analytics Engineer to own how data is structured, understood, and surfaced across our platform for the builders who use our product and for the Product and Customer Success teams who depend on their own internal analytics. This is a net-new role on the Software Engineering team, created because our largest customers are asking harder analytics questions than anyone currently owns.
What You'll Do
You own the data itself: the analytics models, the metric definitions, and the views built in tools like Looker and Observable. You decide what belongs in front of which audience, and you direct the work our infrastructure and engineering teams need to do to get the right data into the system in the first place. You'll turn current workflows into a coherent plan, then build against it.
Expect to:
Design, build, and maintain scalable data models and views in Looker/Observable that serve both customer-facing and internal analytics

Partner with engineering to design and ship polished customer-facing data views for enterprise builders

Work with Product and Customer Success to define the metrics they need to make decisions, then build the reporting behind them

Set direction for our analytics stack and decide where each piece of reporting should live

Own decisions about data infrastructure and instrumentation, including how data flows between systems like BigQuery and S3, and where product analytics tracking such as PostHog needs to change

Use data modeling, statistics, and analytical techniques to identify trends, patterns, and anomalies across large datasets

Build a triage process for incoming analytics requests across the org so priorities are clear and the queue doesn't run you

Serve as the clear, trusted owner of "what the data says"

About You
You know what data matters to builders versus internal stakeholders, not just how to report it. You're comfortable walking into a messy, competing set of requests and turning it into a plan without being handed one. You earn buy-in from infra, integration, and frontend teams you don't manage, and you're fine directing engineering priorities without owning the build yourself. You treat the org's data needs as your responsibility rather than a ticket queue.
You can translate cleanly in both directions: explaining a model to an engineer and explaining an insight to someone who will never open a SQL editor.
You have:
6+ years in analytics, data science, or business intelligence, owning work end-to-end from modeling through presentation

Proven expertise writing and optimizing SQL in a business context, with strong data modeling fundamentals

Hands-on experience with a BI/visualization tool such as Looker or Observable

Experience with data warehouses and pipelines (BigQuery, S3, or equivalent) and product analytics tools (PostHog or similar)

A track record building both internal and customer-facing dashboards and reporting

Strong ability to manage fast-paced, ambiguous projects with a high degree of organization and independence

Sharp judgment about what data belongs in front of which audience

A major plus if you also bring:
Experience delivering analytics to large enterprise customers with their own reporting requirements

Background in construction tech, homebuilding, or another complex physical-world domain

Working at Higharc
Higharc has been remote first since our founding in 2018. We offer flexible hours so you can do your best work without missing out on life. Higharc offers competitive salaries with significant equity, in a fast-growing, well-funded company.

Personal healthiness is an important value for us- we provide comprehensive medical, dental, and vision coverage, with flexible PTO, and meaningful maternity/paternity leave to all U.S based employees that are full-time. You'll also have access to other big-company benefits such like short and long-term disability plans and a 401K. Haven't worked remotely before? We provide a stipend to create the ideal home office.

Please note: we are seeing an uptick of fraudulent recruiting activity claiming to be associated with Higharc. All communication and outreach from our in-house team will come from an @higharc.com email address.
Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT API integration Data Analysis MySQL Remote Collaboration SQL remote

Likely questions

  1. Tell us about work you have done that is close to the Analytics Engineer role.
  2. How would you approach your first 30 days at Higharc?
  3. Which of API integration, Data Analysis and MySQL have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with API integration, Data Analysis and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Analytics Engineer role because I can bring practical experience in API integration, Data Analysis and MySQL, learn the team quickly, and contribute to the outcomes Higharc needs from this hire.

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