Analytics Engineer
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Role details
Tech stack
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Job description
We are looking for a Senior Analytics Engineer to help us build best-in-class data products that deliver high-quality, trustworthy data and keep pace with our accelerated growth. These products must be built and maintained using best practices so they stay scalable and earn stakeholder trust as we grow in both size and scope. This person will work cross-functionally with technical and business stakeholders across the company, and will optimize our data stack to deliver trustworthy, discoverable, impactful data, served to both people and the AI tools they increasingly rely on. What will you do?
- Employ your strong SQL and data modeling skills to propose, design, and build trusted tables in our data warehouse via dbt, serving as a single source of truth for business intelligence, data science, and machine learning use cases.
- Lead end-to-end dimensional modeling efforts, from requirements gathering through implementation, testing, and delivery, creating high-quality data experiences and collaborating directly with stakeholders to support their analytical success.
- Design and extend our semantic layer: the governed, metric-driven interface (built as Snowflake semantic views in dbt) that powers Looker and our natural-language BI chatbot, so stakeholders and AI agents get the same trusted answer to the same question. This includes defining canonical metrics, relationships, and verified queries grounded in real business questions.
- Use your experience with business partners and your empathy for users to translate stakeholder needs into well-structured data models and downstream experiences in Looker.
- Act as a subject matter expert (SME) for cross-functional teams, enabling data-driven decision-making through dashboards, self-serve tooling, and ad-hoc analyses, especially for data-forward teams like marketing, international growth, and insurance.
- Uphold data governance and privacy in a healthcare environment, applying PII/PHI classification, masking policies, and data contracts so our data assets stay trustworthy and protected as they scale.
- Build for performance and cost at βbig dataβ scale, using incrementality patterns, sound warehouse and clustering choices, and query optimization so our models stay fast and efficient as volume grows.
- Contribute to BetterHelpβs data-driven culture by supporting self-service, improving data discovery and lineage, and fostering trust in our data assets.
- Partner closely with data and machine learning engineers in our modern data stack, which includes dbt, Looker, Snowflake, Airflow, Snowplow, and Fivetran.
- Enjoy great teamwork, collaborate with data-minded colleagues who care deeply about mental health, and take pride in building a world-class product that makes a difference in peopleβs lives.
What will you NOT do?
- You will NOT worry about βrunwayβ, βcash leftβ, or βhow much time we have until the next roundβ. We have the startup DNA but weβre fully backed and funded, all the way to success.
- You will NOT be confined to your βjobβ. You will get involved in product, marketing, business strategy, and almost everything we do.
- You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
- You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really., Designs and maintains scalable data pipelines, integrations, and foundational data models using Snowflake, dbt, and AWS. Establishes data quality, testing, governance, and documentation standards while supporting analytics, financial systems, and reporting. Partners with Engineering, Analytics, Finance, and Operations, leads technical decisions, improves development workflows, mentors teammates, and incorporates AI coding agents into engineering processes.
Requirements
- 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 (BI) tools, preferably Looker or Omni
- At least 3 years of experience using dbt for in-warehouse data transformations
- Strong technical abilities in SQL, including βbig dataβ scale query design, incrementality patterns, and performance optimization
- Deep understanding of frameworks and tradeoffs in building analytical data models (for example 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 (PR) 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.
Bonus (Great to have, but not required)
- BS/MA in a quantitative discipline such as Computer Science, Statistics, Mathematics, or Engineering
- Significant experience with dimensional modeling, including building fact and dimension tables at βbig dataβ scale using Kimball-style or denormalized design patterns
- Experience building or maintaining a semantic or metrics layer (for example Snowflake semantic views, the dbt Semantic Layer, or LookML as a semantic layer), or otherwise designing data for AI and natural-language analytics
- Familiarity with data privacy and governance in a regulated or healthcare setting
- Hands-on experience with data pipelines and analytics using a scripting language, preferably Python
- Background working with web-based B2C products, especially in healthcare or marketing analytics
- Experience serving as an agile or technical lead within a data-driven organization
- Strong familiarity with stream event analytics and web event tracking tools (for example Snowplow, Mixpanel, or Amplitude)
Benefits & conditions
Build and maintain scalable analytics data products using SQL, dbt, Snowflake, and dimensional modeling. Design trusted warehouse tables, semantic layers, metrics, dashboards, and self-service tools for BI, data science, machine learning, and AI use cases. Partner with stakeholders, optimize performance and costs, enforce data governance and privacy, improve data discovery and lineage, and mentor teammates through collaborative development and code reviews. The summary above was generated by AI Who are we and why should you join us?, * Remote work with regular in-person bonding experiences sponsored by the company
- Competitive compensation
- Holistic perks program (including free therapy, employee wellness, and more)
- Excellent health, dental, and vision coverage
- 401k benefits with employer matching contribution
- The chance to build something that changes lives - and that people love
- Any piece of hardware or software that will make you happy and productive
- An awesome community of co-workers
The base salary range for this position is $135,000 - $155,000. In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2025. Total compensation is based on several factors - including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.
At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status. Notice to Candidates, 172K-172K Annually Senior level 172K-172K Annually Senior level AdTech * Marketing Tech * Software Owns sales and creator-commerce data end to end, building tested and documented dbt models, semantic-layer metrics, and Omni dashboards. Partners with Sales, RevOps, Product, and data engineering to model CRM, pipeline, funnel, commerce, and product-usage data. Establishes trusted metric definitions, improves self-service reporting, enables AI-assisted data querying, reviews code, documents decisions, and serves as the primary owner of Kitβs sales data domain. Top Skills: Amazon RedshiftClaude CodeCodexCursorDbt CloudGitHightouchHubspotLinearMcpNotionOmniPythonSlackSQL Extend, Remote United States 142K-208K Annually Senior level 142K-208K Annually Senior level Productivity * Software * Conversational AI Design and maintain Twilioβs R&D analytics data layer using AWS and analytics modeling tools. Define metrics and data lineage, build automated reconciliation and quality checks, investigate anomalies, and communicate solutions. Collaborate with Product and Engineering, mentor analytics team members, and establish best practices for data modeling, testing, documentation, and code review. Top Skills: AthenaAws GlueCi/CdData ObservabilityDbtHiveLookerLookmlPrestoPythonSparkSQLTableau
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
About the company
BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the worldβs largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And weβre not stopping there - as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.
As a Senior Analytics Engineer at BetterHelp, youβll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our teamβs well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, youβll carve your own path, make an immediate impact, and be challenged every day - with a supportive community behind you the whole way. What are we looking for?
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