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What is the role of a Senior Analytics Engineer at Jobgether?

The Senior Analytics Engineer position at Jobgether is a Full-time or part-time position opportunity in the Engineering field.

Where is this Senior Analytics Engineer job located?

United States, Other / Non-US, United States

What type of employment is offered for this Senior Analytics Engineer role?

Full-time or part-time position

What is the expected salary for this Senior Analytics Engineer job?

Compensation will be discussed during the hiring process.

Senior Analytics Engineer job near me in United States, Other / Non-US at Jobgether

Senior Analytics Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Analytics Engineer in United States.

This role sits at the intersection of analytics engineering and advanced data analysis, combining technical depth with strong business partnership. You will own the full data lifecycle, from raw ingestion through transformation, modeling, and visualization, enabling reliable and decision-ready insights across the organization. Acting as a strategic partner to cross-functional stakeholders, you will translate ambiguous business questions into structured analyses and scalable data models. The position requires hands-on expertise in dbt, SQL, and modern cloud data platforms, alongside the ability to design semantic layers and intuitive BI experiences. You will also contribute directly to Looker development, ensuring data is accessible, accurate, and aligned with business needs. This is a high-impact, autonomous role where you will influence both data architecture and strategic decision-making in a fast-moving digital health environment.

Accountabilities:

Design, build, and maintain analytics-ready data models, dbt transformations, semantic layers, and Looker dashboards to support business intelligence needs

Own the end-to-end analytics engineering lifecycle, from raw data sources through transformation and final reporting layers
Develop and optimize dbt models, including testing, debugging, lineage tracking, and implementation of scalable data architecture patterns
Define modeling decisions such as grain, incremental strategies, and data contracts to ensure reliable and consistent datasets
Partner closely with business stakeholders to translate complex questions into structured analyses and actionable insights
Collaborate with core data engineering teams to enhance foundational data models and improve overall data reliability
Build and maintain LookML models and explores to enable self-service analytics for business users
Conduct deep-dive analyses to support strategic initiatives, including cohort analysis, experimentation, and performance evaluation
Evaluate data limitations, challenge assumptions, and communicate insights clearly to both technical and non-technical audiences
Ensure data solutions are well-documented, version-controlled, and aligned with governance and quality standards

Requirements:

5–7 years of experience spanning analytics engineering, data engineering, and/or advanced data analysis roles

Strong proficiency in SQL and hands-on production experience with dbt, including modeling, testing, and deployment workflows
Experience working with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift
Solid understanding of semantic layers and metric definitions in BI tools
Strong LookML expertise with ability to build, optimize, and refactor scalable Looker models and explores
Experience working with version control systems and CI/CD workflows in data environments
Ability to independently manage end-to-end analytics projects with minimal supervision
Strong stakeholder management skills with the ability to translate ambiguous requirements into structured solutions
Excellent communication skills with the ability to present complex insights clearly and effectively
Experience in digital health, healthcare data, or regulated environments is a plus
Familiarity with HIPAA, PHI governance, and healthcare data ecosystems is highly valued
Experience with experimentation, cohort analysis, or product analytics is a strong advantage

Benefits:

Competitive annual salary ranging from $115,000 to $130,000
Fully remote work within the United States
Opportunity to work at the intersection of healthcare and advanced analytics
High-impact role with ownership of end-to-end data workflows
Collaboration with cross-functional teams in a mission-driven environment
Exposure to modern data stack technologies including dbt, Looker, and cloud warehouses
Inclusive workplace culture focused on diversity and equal opportunity
Opportunity to contribute to meaningful healthcare outcomes through data

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Senior Analytics Engineer in United States at Jobgether

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