Analytics Engineer

eMed

Miami (FL)

On-site

USD 115,000 - 145,000

Full time

9 days ago

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Health Care Plan

401k Retirement Plan

Life Insurance

Paid Time Off

Disability — Short/Long

Catered Meals

Training & Development

Wellness Resources

Job summary

eMed is seeking an Analytics Engineer to join the Global Data & Analytics team. You will build data models, pipelines, and a semantic layer powering reporting for clinical, product, marketing, and B2B operations across US and UK markets.

You’ll own core data marts and partner with engineers to ensure reliable, analytics-ready data. You will translate business questions into reusable data models, write tests and maintain lineage, and contribute to governance programs while supporting client

Qualifications

5 years in analytics engineering or related role.
Strong SQL and dbt in a modern cloud warehouse.
Experience with dimensional modeling for scalable design.
Experience with BI tools such as Tableau/Looker/Power BI.
Familiarity with Git-based workflows and CI/CD for analytics.

Responsibilities

Design, build, and maintain dbt models across staging, intermediate, and mart layers on the AWS Redshift warehouse.
Own and evolve core data marts that feed dashboards used by executives and stakeholders.
Partner with Data Engineers to ensure reliable ingestion and analytics-ready data, flagging data quality issues at the source.
Translate business questions into well-structured, reusable data models.
Write and maintain dbt tests, documentation, and lineage for governance.
Support B2B client analytics and reporting needs with modeling behind dashboards.
Contribute to data governance and global QA processes across data marts.
Participate in code reviews, deployments, and CI/CD practices to keep the warehouse scalable.

Skills

SQL

dbt

Dimensional modeling

BI tools

Git CI/CD

Data governance

Communication

Tools

Airflow

Airbyte

Python

Job description

Analytics Engineer

Location: On-Site Miami · Reports to: Director, Data & Analytics · Department: Data & Analytics

About eMed

eMed is a digital-health company built on its Empathetic AI™ Population Health Platform. We partner with large employers, health plans, unions, and government programs to reduce obesity and improve chronic disease outcomes through connected, at-home clinical care --- combining remote diagnostics, telehealth, and GLP-1 medication management at scale across the US and UK.

About the Role

We're looking for an Analytics Engineer to join our Global Data & Analytics team and help build the data models, pipelines, and semantic layer that power reporting and decision-making across eMed's clinical, product, marketing, and B2B client operations. You'll sit at the intersection of data engineering and analytics: taking raw data from our warehouse and shaping it into clean, well-tested, documented models that analysts, executives, and external partners can trust.

This role backfills a key seat on the team and offers significant ownership over how eMed defines, governs, and scales its core data marts as the company grows across new markets and B2B accounts.

What You'll Do

Design, build, and maintain dbt models across staging, intermediate, and mart layers on our AWS Redshift warehouse, following consistent naming, testing, and documentation standards.

Own and evolve core data marts (e.g. patient, prescriptions, clinical outcomes, B2B/eligibility) that feed Tableau dashboards used by Executive, Clinical, Marketing, Product, and B2B stakeholders across US and UK markets.

Partner with Data Engineers to ensure upstream ingestion (Airbyte, source systems) lands in a state that's reliable and analytics-ready, and flag/fix data quality issues at the source when possible.

Translate ambiguous business questions and stakeholder requests into well-structured, reusable data models rather than one-off queries.

Write and maintain dbt tests, documentation, and lineage so definitions (e.g. \"active patient,\" \"adherence\") are consistent, discoverable, and governed across the business glossary.

Support B2B client analytics and reporting needs — building or maintaining models behind client dashboards and eligibility/data-sharing pipelines — in coordination with client-facing analysts.

Contribute to data governance and quality initiatives, including the ongoing global data-source QA process across our foundational marts.

Participate in code review, deployment, and CI/CD practices (Git, dbt, Terraform-managed infrastructure) to keep the warehouse reliable as it scales.

What We’re Looking For

5 years of experience in an analytics engineering, data engineering, or advanced analytics role, with real ownership of production data models.

Strong SQL skills and hands‑on experience with dbt (or a similar transformation framework) in a modern cloud warehouse (Redshift, Snowflake, BigQuery, or similar).

Solid understanding of dimensional data modeling (facts/dimensions, star schemas) and how to design models that scale and stay maintainable.

Experience with a BI tool such as Tableau, Looker, or Power BI — you understand how downstream consumers will actually use what you build.

Comfort working with messy, real‑world data and a strong instinct for data quality — testing, validating, and documenting rather than assuming correctness.

Familiarity with Git‑based version control and CI/CD workflows for analytics code.

Clear written and verbal communication — you can explain a modeling decision or a data quality tradeoff to both engineers and non-technical stakeholders.