Analytics Engineer

Higharc

Analytics Engineer at Higharc, handling data structure and insights for builders and internal teams. Collaborating on analytics models and customer-facing data views in a remote-first environment.

Posted 7/28/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics, data modeling, and business intelligence, with a strong focus on building and optimizing data views and dashboards using Looker and Observable. Proven ability to manage complex projects and collaborate with cross-functional teams to deliver actionable insights.

Highest-signal resume keywords

SQL OptimizationData ModelingLooker/Observable ProficiencyData Warehouse ExperienceDashboard Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AnalyticsData ScienceBusiness IntelligenceSQLData ModelingData WarehousingData PipelinesDashboard BuildingReportingProduct Analytics

Soft Skills

Project ManagementOrganizational SkillsJudgment

Tools & Technologies

LookerObservableBigQueryS3PostHog

Tech Stack

Tools & technologies

BigQuerySQL

About the role

Key responsibilities & impact

own the data itself: the analytics models, the metric definitions, and the views built in tools like Looker and Observable
decide what belongs in front of which audience
direct the work infrastructure and engineering teams need to do to get the right data into the system
turn current workflows into a coherent plan, then build against it
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 analytics stack and decide where reporting should live

Requirements

What you’ll need

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.

Benefits

Comp & perks

comprehensive medical, dental, and vision coverage
flexible PTO
meaningful maternity/paternity leave to all U.S based employees that are full-time
access to other big-company benefits such like short and long-term disability plans
401K
stipend to create the ideal home office