Business & Data Analytics Job Openings At Optum

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

Job Duties & Responsibilities:

• 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.