Senior Data Engineer / Data Analyst / Business 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 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. The Senior Data Engineering Analyst, using technical and analytical skills, is responsible for supporting members on, not limiting to, ongoing data refreshes, support requests, troubleshooting and implementations - which are delivered on time and with utmost quality. Data Analysts must have ownership of complete analysis and implementation of an issue to its final solution, including creative problem solving and technical decision making.
Implementation
Completing file mapping based on layouts and requirements provided by Business Analysts/Project Managers; Writing business logic (in SQL or other languages as appropriate to the particular business intelligence technology) for transforming data into product specifications; running and interpreting quality checks against loaded data; spinning up the product front-end; completing quality testing and articulating potential issues back to the BA/PM
End-to-end management of the ongoing data load process, including monitoring of feeds and outreach when data is delayed; creating customized reports based on specifications provided by Business Analysts; Completing configuration, mapping, or logic changes as described and prioritized by BAs; Troubleshooting issues raised by BAs from root cause identification to resolution
~ 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

In all phases of the client life cycle, the Data Engineering Analyst is responsible for writing complex SQL queries to complete business requirements. He/she must have the ability to analyze and understand data to support decision making. He/she is also responsible for working on projects focused on continuous improvement to improve team's effectiveness.
Bachelor's degree in Computer Science or any engineering

• 6+ years of experience working with ETL & Data warehousing services
• Knowledge on Relational Databases like Oracle, SQL Server, MYSQL
• Knowledge on SQL and procedural scripting
• Intermediate skills using Microsoft Excel and Microsoft word Technical aptitude for learning new technologies
• Proven passion to work with lot of data in a challenging environment
• Proven ability to participate in the ongoing invention, testing and use of tools used by the team to improve processes and bring scale

Intermediate to expert knowledge on Azure, Databricks, Scala, Spark SQL, Python(good to have)
Clinical or medical data analysis
Understanding of clinical processes and vocabulary
Ability to query large data sets using SQL and query optimization skills
Highly analytical, curious and creative
Competence with PCs and Windows Office applications
Experience with or an interest in learning to work with complex health care databases
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. 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.