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Lead Analytics Engineer

Treatment Technologies & Insights

El Segundo (CA)

On-site

USD 120,000 - 170,000

Full time

30+ days ago

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Job summary

A leading health tech company is seeking an Analytics Engineer to enhance their data infrastructure. The role involves building dbt models in Snowflake, maintaining ETL processes, and collaborating with cross-functional teams to derive insights. Ideal candidates will have strong SQL skills and a background in data engineering or analytics. The position offers full-time employment with healthcare benefits and opportunities for growth.

Benefits

Healthcare benefits
Growth opportunities

Qualifications

  • 4+ years of experience in analytics and/or data engineering roles.
  • Expertise in Snowflake for data storage, transformation, and management.
  • Proficiency in dbt for data modeling and creating scalable data workflows.

Responsibilities

  • Build and maintain dbt models and stored procedures in Snowflake.
  • Enhance and maintain ETL ecosystem, integrating new sources.
  • Develop and maintain documentation for data models and analytics processes.

Skills

SQL
Data Analysis
Data Engineering
Collaboration

Education

Computer Science
Data Science

Tools

Snowflake
AWS
dbt
Tableau
Python

Job description

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Wave Health, powered by Treatment Technologies & Insights, Inc. (TTI), aims to improve treatment experiences and outcomes for cancer and chronic illness patients.

We are an innovative health tech company focused on transforming patient outcomes through data. Our ePRO platform empowers patients to track symptoms, medications, behaviors, and health metrics while providing actionable insights to healthcare professionals and researchers. We are in the early stages of building our data product, and we’re looking for an Analytics Engineer to join our team. This role is critical in shaping our data infrastructure and enabling data-driven decision-making across the company.

About The Role:

As an Analytics Engineer, you will play a hybrid role combining data analytics and data engineering. You will work primarily with Snowflake to build dbt models that power internal dashboards, external partner deliverables, as well as ad-hoc analyses. Your work will support cross-functional teams, including product and marketing, to uncover insights into user engagement and feature usage. You will also maintain and enhance our ETL processes, integrate new data sources, document requirements for future projects, and help evaluate KPIs for the value and adoption of our platform in clinical settings.

This role is ideal for someone with strong technical skills, a background in computer science, data engineering, or data analytics, and a self-starter mentality. You will work closely with various teams, bridging the gap between raw data and actionable insights.

Key Responsibilities:

Data Analysis and Modeling (70%)

  • Build and maintain dbt models and stored procedures in Snowflake to support various data outputs, including:
  • Internal dashboards for key metrics and user engagement insights.
  • Data exports and analyses for external partners.
  • Work closely with product and marketing teams to derive insights on user engagement, feature usage, and retention trends.
  • Document data requirements for future product and analysis initiatives, ensuring alignment with stakeholder needs.
  • Support the development of KPIs to evaluate the value and usage of our platform in clinical settings.
  • Translate data into insights that are easily understood by technical and non-technical stakeholders.

ETL and Data Integration (30%)

  • Enhance and maintain our ETL ecosystem, integrating new sources and writing into both AWS S3 and Snowflake.
  • This involves automating data ingestion and transformations using AWS Glue and other AWS tools as needed.
  • Collaborate with our development team to ensure data quality, governance, and compliance with GDPR and HIPAA standards.
  • Monitor and troubleshoot ETL pipelines to ensure data integrity and reliability.

Process and Documentation

  • Develop and maintain detailed documentation for data models, ETL pipelines, and analytics processes.
  • Proactively identify opportunities to improve workflows and establish best practices for data governance.
  • Provide guidance on long-term data strategy, including technology evaluations and recommendations.

Qualifications:

Must-Have Skills

  • 4+ years of experience in analytics and/or data engineering roles.
  • Strong SQL skills with the ability to create efficient queries, views, and data models.
  • Expertise in Snowflake for data storage, transformation, and management.
  • Proficiency in dbt for data modeling and creating scalable data workflows.
  • Experience working with AWS tools, including Glue, Lambda, and S3.
  • Familiarity with Tableau or other BI/data visualization tools.
  • Ability to collaborate with non-technical stakeholders to gather requirements and present insights.
  • Background in Computer Science, Data Science, or Data Engineering, with the ability to work independently and solve complex problems.

Preferred Skills

  • Knowledge of GDPR, HIPAA, and best practices for handling sensitive data.
  • Experience working with EHR/ePRO or other healthcare data.
  • Knowledge of Python or R for additional data manipulation or analysis.
  • Experience deriving actionable insights from clinical or healthcare data.
  • Familiarity with early-stage data product development, including building foundational processes.

This is a full-time position, with healthcare benefits and future growth opportunities. If you are interested in joining a fun and dynamic work culture, we encourage you to apply and be part of a growing team dedicated to improving the lives of patients with chronic illnesses.

We look forward to meeting you and discussing your potential fit for this role.

-Wave Health Team

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Hospitals and Health Care

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