Associate Data Analyst

Job Description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

We are looking to onboard a data analyst with an AI Builder persona-someone who goes beyond traditional analytics to architect and implement intelligent systems. This role will contribute to building predictive models, automating data pipelines, and deploying AI-driven tools such as recommendation engines, anomaly detection systems, and NLP-based insights extraction. Their ability to translate analytical outcomes into scalable AI solutions will be pivotal in accelerating our team's impact across business functions.

As a Medicare Risk Adjustment Data Analyst, you'll play a crucial role in supporting the development and enhancement of new analytical applications related to Medicare risk adjustment as well as supporting existing applications such as Coding Transformation Modernization, Attribution Analytics, Financial Risk Adjustment and Management Engine.

You will be part of dynamic team working on developing and delivering Best in-class Analytics for end users. Your work will focus on understanding CMS Medicare Advantage business and developing best in-class Analytics for OI Clinical Solutions - Decision Intelligence team according to Business/Technical requirements. Here are the key responsibilities, qualities and experience we will look for in an ideal candidate:

Primary Responsibilities:

- Gather and analyze business and/ or functional requirements from 1 or more client business teams
- Validate requirements with stakeholders and day to day project team, provide suggestions and recommendations in line with industry best practices
- Developing and delivering Best in-class Analytics for end users using Big Data and Cloud platforms
- Document, discuss and resolve business, data, data processing and BI/ reporting issues within the team, across functional teams, and with business stakeholders
- Present written and verbal data analysis findings, to both the project team and business stakeholders as required to support the requirements gathering phase and issue resolution activities
- Manage changing business priorities and scope and work on multiple projects concurrently Self - motivated and proactive with the ability to work in a fast - paced environment
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

- Tech Skills/Experience

- 1+ years of solid work experience with python, spark and HIVE and solid experience in developing Analytics at scale using Python, Spark and HIVE

- 1+ years of solid work experience in developing E2E Analytics pipeline on Hadoop/Bigdata platform

- 1+ years of solid work experience in SQL or associated languages

- 1+ years of solid work experience - Ability to convert Business requirements into technical requirements and ability to develop Best in class code as per Technical/Business requirements

- Proven interpersonal, collaboration, diplomatic, influencing, planning and organizational skills
- Consistently demonstrate clear and concise written and verbal communication
- Proven ability to effectively use complex analytical, interpretive and problem-solving techniques
- Proven relationship management skills to partner and influence across organizational lines
- Demonstrated ability to be work under pressure and to meet tight deadlines with proactive, decisiveness and flexibility

Preferred Qualifications:

- Domain Experience

- Understanding of Medicare risk adjustment programs

- Understanding of CMS datasets such as MMR/MOR/EDPS etc.

- AWS/GCP or any other cloud-based platform development experience

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