# Analytics Engineer

**Company:** [Higharc](https://hotfix.jobs/companies/higharc)
**Location:** Remote
**Role:** Data Analytics
**Experience:** 6+ years
**Skills:** SQL, Looker, observable, BigQuery, S3, posthog, Data Modeling, data warehouses, BI Tools, Product Analytics, Statistics, analytics engineering
**Posted:** 2026-07-27

> Analytics Engineer owning data models, metrics, and reporting in Looker/Observable for both customer-facing enterprise builders and internal Product/Customer Success teams. Requires 6+ years end-to-end analytics ownership, strong SQL/data modeling, BI tools, and the ability to set analytics direction in an ambiguous environment.

## Job Description

## Responsibilities
- 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".

## Requirements
- 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.

## Nice-to-Haves
- Experience delivering analytics to large enterprise customers with their own reporting requirements.
- Background in construction tech, homebuilding, or another complex physical-world domain.

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