Business Intelligence Engineer 2, Data Enablement

Become a part of our caring community   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.  Use your skills to make an impact   Required Qualifications 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 Preferred Qualifications 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 Additional Information This role is not eligible for work visa sponsorship. Work at Home Requirements: To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.   Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.   Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.   $66,800 - $91,100 per year   This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and