Business Analytics Analyst

CVS Health•Work At Home-Ohio, OH

20h•$43,888 - $102,081•Remote

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary 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 Contributes to knowledge management initiatives to ensure that knowledge and best practices are understood and shared across the organization Actively contributes to team meetings, brainstorming sessions, and collaborative projects, including sharing ideas, providing feedback, and contributing to the overall goals and objectives of the team Assists in maintaining our integrated high-performance culture

Requirements

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

Nice To Haves

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

Responsibilities

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
Contributes to knowledge management initiatives to ensure that knowledge and best practices are understood and shared across the organization
Actively contributes to team meetings, brainstorming sessions, and collaborative projects, including sharing ideas, providing feedback, and contributing to the overall goals and objectives of the team
Assists in maintaining our integrated high-performance culture