Business Intelligence Engineer 2, Data Enablement

Humana

2d • $66,800 - $91,100 • Remote

About The Position

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As a Business Intelligence Engineer 2 on the Data Enablement Team, you will have the opportunity to work on key datasets, pipelines, and automation in support of Care Management, Value Based Operations and other clinical programs focused on conditions including kidney disease, cancer, and heart disease.
If you've ever come across someone with kidney disease, cancer, or heart disease, you know the importance of getting them the specialized care they need in a timely fashion. The Data Enablement team is dedicated to providing the data needed to help members qualify for Care Management programs that guide and support members as they deal with these conditions. As a Business Intelligence Engineer 2 on this team, you will be responsible for maintaining key data products, pipelines, and automation that are utilized by the rest of the enterprise to develop and manage these programs. The data you provide helps key decision makers understand the clinical, operational, and financial impact these programs have on our members' health and wellbeing.
As part of your daily responsibilities, you will investigate and analyze multiple data sources, bringing them together into a single source of truth, while serving as a subject matter expert for our partner teams in understanding and utilizing the data. You will also build and maintain pipelines and automation to allow our data products to scale rapidly and efficiently as we continue to grow the number and range of programs that we offer. This job is a one-part creative thinker and one-part problem solver, so if that sounds like you, we'd love to hear from you.

Requirements

• Bachelor's Degree
• Less than 5 years of technical experience in data analysis and/or data engineering
• Comprehensive knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint
• 1 or more years of experience in SQL or SAS
• 1 or more years of experience in Python or PySpark
• 1 or more years of experience in Databricks, building automated pipelines
• Expertise in assessing complex data sets and performing root cause analysis
• Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Nice To Haves

• Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
• Ability to use data to drive business outcomes and decisions

Responsibilities

• Maintaining key data products, pipelines, and automation.
• Investigating and analyzing multiple data sources, bringing them together into a single source of truth.
• Serving as a subject matter expert for partner teams in understanding and utilizing the data.
• Building and maintaining pipelines and automation to allow data products to scale rapidly and efficiently.

Benefits

• medical
• dental
• vision benefits
• 401(k) retirement savings plan
• time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
• short-term and long-term disability
• life insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level