[Hiring] Business Analytics Analyst @CVS Health

Role Description

As a member of the Strategic Intelligence and Automation team you will be part of a nimble team that lives in and amongst data. We specialize in automating the movement of data, integrating data analysis to create new business processes, and reporting out the findings of our analysis. As part of the team you will:

• Build ETL workflows using Dataiku and Python to receive, manipulate and populate data
• Collaborate with cross-functional teams, including product managers, clinical support, and designers, to gather and document product requirements
• Support direct team members in testing and troubleshooting and documenting work
• Aid in retaining our client base by researching and resolving client issues by writing queries and analyzing data
• Answer internal questions by investigating the data sets
• Contribute to knowledge management initiatives to ensure that knowledge and best practices are understood and shared across the organization
• Actively contribute to team meetings, brainstorming sessions, and collaborative projects, including sharing ideas, providing feedback, and contributing to the overall goals and objectives of the team
• Assist in maintaining our integrated high-performance culture

Qualifications

• Intermediate understanding of SQL language
• 2+ years experience in ETL work with Dataiku or Alteryx
• 2+ years’ experience with Python
• 2+ years’ experience in data engineering
• Awareness of problem solving and decision-making skills
• Ability to work well independently as well as in a team environment
• Excellent communication skills
• Ability to work with large data sets from multiple sources

Requirements

• 4+ years with multiple SQL dialects (T-SQL, Google BigQuery, Oracle)
• 4+ years’ experience with Python
• 4+ years’ experience with ETL work using Dataiku or Alteryx
• 4+ years in a data engineering role
• 2+ years using Azure Devops for project management
• Awareness of problem solving and decision-making skills
• Ability to work well independently as well as in a team environment
• Excellent communication skills
• Ability to work with large data sets from multiple sources

Education

• Bachelor’s Degree or equivalent years of experience

Benefits

• Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families
• Medical, dental, and vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources, based on eligibility