Senior Analytics Engineer

BetterHelp

. Propose, design, and build trusted tables in the data warehouse via dbt for business intelligence, data science, and machine learning use cases .

Posted 11/9/2026full-timeRemote • United StatesSenior💰 $135,000 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics engineering and data modeling, with a strong focus on using dbt for data transformations and Looker for business intelligence. Proficient in SQL and data governance practices, ensuring high-quality data assets and effective collaboration across teams.

Highest-signal resume keywords

Analytics EngineeringData ModelingSQL Query DesignDbt TransformationsLooker Business Intelligence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDimensional ModelingData TestingIncrementality PatternsPerformance OptimizationStar SchemasData GovernanceData ContractsVersion ControlData Discovery

Soft Skills

Communication SkillsAttention to DetailTime ManagementMentorshipCollaboration

Tools & Technologies

DbtLookerSnowflakeAirflowSnowplowFivetran

Industry Keywords

Business IntelligenceData EngineeringData AnalyticsBig DataMental Health Product

Tech Stack

Tools & technologies

AirflowSnowflakeSQL

About the role

Key responsibilities & impact

Propose, design, and build trusted tables in the data warehouse via dbt for business intelligence, data science, and machine learning use cases
Lead end-to-end dimensional modeling from requirements gathering through implementation, testing, and delivery
Design and extend the semantic layer using Snowflake semantic views in dbt for Looker and a natural-language BI chatbot
Define canonical metrics, relationships, and verified queries grounded in business questions
Translate stakeholder needs into structured data models and downstream Looker experiences
Serve as a subject matter expert for cross-functional teams through dashboards, self-service tooling, and ad-hoc analyses
Uphold data governance and privacy using PII/PHI classification, masking policies, and data contracts
Optimize performance and cost at big-data scale through incrementality patterns, warehouse and clustering choices, and query optimization
Improve data discovery and lineage and foster trust in data assets
Partner with data and machine learning engineers using dbt, Looker, Snowflake, Airflow, Snowplow, and Fivetran
Collaborate with colleagues to build a world-class mental health product

Requirements

What you’ll need

At least 5 years of experience in analytics engineering, data engineering, data analytics, or a related field
At least 4 years of experience working with business intelligence tools, preferably Looker or Omni
At least 3 years of experience using dbt for in-warehouse data transformations
Strong technical abilities in SQL, including big data scale query design, incrementality patterns, and performance optimization
Deep understanding of analytical data models, including star schemas, analytics-ready design patterns, and dimensional modeling
Excellent communication skills, strong attention to detail, and effective time management
Experience providing mentorship, supporting collaborative development, and conducting team pull request reviews
Strong knowledge of data testing, including assertion design, coverage, orchestration, and data contracts
Experience with version control using Git in a collaborative team environment
Authorized to work in the U.S.

Benefits

Comp & perks

Remote work with regular in-person bonding experiences sponsored by the company
Competitive compensation
Holistic perks program, including free therapy and employee wellness
Excellent health, dental, and vision coverage
401k benefits with employer matching contribution
Any piece of hardware or software that will make you happy and productive
Company-sponsored travel expenses for travel to the San Jose office and company-wide offsite
Reasonable accommodations for those under unique circumstances who cannot travel
Performance bonus eligibility
Extensive benefits, subject to eligibility requirements