Associate Data Analyst

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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

Positions in this function are responsible for the management and manipulation of mostly structured data, with a focus on building business intelligence tools, conducting analysis to distinguish patterns and recognize trends, performing normalization operations and assuring data quality. Depending on the specific role and business line, example responsibilities in this function could include creating specifications to bring data into a common structure, creating product specifications and models, developing data solutions to support analyses, performing analysis, interpreting results, developing actionable insights and presenting recommendations for use across the company. Roles in this function could partner with stakeholders to understand data requirements and develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization. Other roles involved could include producing and managing the delivery of activity and value analytics to external stakeholders and clients. Team members will typically use business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data. Positions in this function work on predominately descriptive and regression-based analytics and tend to leverage subject matter expert views in the design of their analytics and algorithms. This function is not intended for employees performing the following work: production of standard or self-service operational reporting, casual inference led (healthcare analytics) or data pattern recognition (data science) analysis; and/or image or unstructured data analysis using sophisticated theoretical frameworks.

Primary Responsibilities:

• Basic, structured, standard approach to work
• 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 regards 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:

• 1+ years of work experience with python, spark and HIVE and solid experience in developing Analytics at scale using Python, Spark and HIVE
• 1+ years of work experience in developing E2E Analytics pipeline on Hadoop or Bigdata platform
• 1+ years of work experience in SQL or associated languages
• 1+ years of work experience – Ability to convert Business requirements into technical requirements and ability to develop Best in class code as per Technical/Business requirements

Preferred Qualifications: 

• 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

Qualities:

• 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

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.