Analytics Engineer

Posted 22 Days Ago
Hiring Remotely in USA
Remote
123K-135K Annually
3-5 Years Experience
Healthtech • Information Technology
The Role
As an Analytics Engineer at Redox, you will be responsible for developing and evolving the analytics infrastructure to drive the organization's decision-making and growth. This includes managing data ingestion, warehousing, transformation, and analysis processes, building data marts, and engaging with business stakeholders.
Summary Generated by Built In

Redox is on a mission to accelerate healthcare’s transformation with useful data. Redox accelerates the development and distribution of healthcare products with a full-service integration platform to securely and efficiently exchange healthcare data. With just one connection, data can be transmitted across a growing network of 7,300+ provider organizations and 240+ healthcare products. Redox connections serve tens of millions of patient records per day, leveraging a single data standard compatible with more than 90 electronic health record systems.


As an Analytics Engineer, you’ll be primarily responsible for the development and evolution of our analytics infrastructure, namely our data ingestion, warehousing, transformation, and analysis. We’re looking for a curious and adaptable data enthusiast who can translate business needs from subject matter experts into usable data models that will drive the organization’s decision-making and growth.


As an Analytics Engineer, some of your responsibilities will include:

  • Manage our analytics infrastructure: ELT/ETL processes, data warehouse, data orchestration and transformation tools, and business intelligence and presentation layer.
  • Build usable and performant data marts ready for analysis and end-user consumption.
  • Engage with business stakeholders to understand the questions driving the business and distill them into the right data sets.

Background and experience needed:

  • 3+ years with SQL and a cloud data warehouse (Redshift, BigQuery, Snowflake, etc.)
  • Experience with data modeling business processes and writing performant SQL transforms in a data warehouse
  • 1+ years experience designing data pipelines using Python as well as commodity ELT (e.g., Stitch / Fivetran).
  • “Full Stack” analytics (ingestion, warehousing, transformation, analysis/BI)

Other must have skills:

  • SQL for analytics and ETL/ELT
  • dbt for building a data warehouse
  • Python for data analytics and building data pipelines

Skills that are preferred but not required

  • Data orchestration: Airflow, Luigi, etc.
  • Other scripting languages (e.g., JS)
  • Familiarity with successful data visualization principles and tools
  • AWS and/or GCP Infrastructure
  • Big data technologies: Presto, Spark, etc.

Please keep reading...

Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. So if you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat and see if you could be a great fit. https://hbr.org/2014/08/why-women-dont-apply-for-jobs-unless-theyre-100-qualified


About Redox - Take a look here: https://youtu.be/4OjENXR6UXA


What We Do

Healthcare organizations and technology vendors connect to Redox once, then authorize what data they send to and receive from partners through a centralized hub. Redox's cloud-based platform is vendor and standards-agnostic and enables the secure and efficient exchange of healthcare data.


This approach eradicates the need for point-to-point integrations and accelerates the discovery, adoption, and distribution of patient and provider-facing technology solutions. With hundreds of healthcare organizations and technology vendors exchanging data today, Redox represents the largest interoperable network in healthcare. Learn how you can leverage the Redox platform at www.redoxengine.com.


Other Stuff About Us

Redox is an EEO company. We fully support the diversity of our team! Read more about our stance on diversity and belonging: Diversity at Redox


As part of our ongoing work to build more diverse teams at Redox, you will be asked to complete a voluntary EEO survey when applying. This survey is anonymous, we cannot link your application record with your survey responses. We request that you complete this voluntary survey as we run monthly reports for each team which provides data for diversity in terms of gender and ethnic background in our Applicants and our Hired Redoxers. We take this data very seriously and appreciate your willingness and time to complete this step in the process.


We believe in holding ourselves to a high standard of conduct. Here's how we think about this: Redox Code of Conduct


Successful candidates must be eligible to be employed in the U.S. and must reside & work in the continental U.S.


Thank you for your interest in Redox!


#LI-TA1

Top Skills

Sql,Python
The Company
HQ: Madison, WI
245 Employees
Remote Workplace
Year Founded: 2014

What We Do

The short of it: Redox makes it easy to transport healthcare data between healthcare organizations and digital health companies. It's simple: you focus on innovation and caring for patients, and we take care of the nitty gritty of data exchange.

The long of it: Healthcare organizations and technology vendors connect to Redox once, then authorize what data they send to and receive from partners through a centralized hub. Redox's cloud-based platform is vendor and standards agnostic and enables the secure and efficient exchange of healthcare data. This approach eradicates the need for point-to-point integrations and accelerates the discovery, adoption, and distribution of patient and provider-facing technology solutions. With hundreds of healthcare organizations and technology vendors exchanging data today, Redox represents the largest interoperable network in healthcare. Learn how you can leverage the Redox platform at www.redoxengine.com.

Why Work With Us

In order to do revolutionary things, we need a team of strong, diverse, mission-focused people. Whether we’re physically together or in our own little corner of the country, we are all focused on getting outcomes based on experimentation, data-driven decisions, and execution—and having some fun while doing it.

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