Senior Business Information Management Analyst
TD
ETLPythonSQLTableau
Data Analyst II
Centene Corporation
full-time
Posted on:
Origin: • 🇺🇸 United States • Illinois, Missouri
Visit company websiteSalary
💰 $62,400 - $112,400 per year
Job Level
JuniorMid-Level
Tech Stack
ETLJavaPythonSQL
About the role
- Integrates, conforms, profiles and maps data, and provides quality assurance oversight (data error detection and correction) on business processes where data is collected, stored, transformed, or used
- Examines moderately complex data to optimize the efficiency and quality of the data being collected
- Resolves data quality problems and collaborates with the business and ETL database developers to improve systems and database designs
- Interprets and analyzes data from multiple sources including claims, provider, member, and encounters data
- Identifies and assesses the business impact of trends
- Develops, executes, maintains, and troubleshoots moderately complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools
- Identifies and performs root-cause analysis of data irregularities and presents findings and proposed solutions to leadership and/or customers
- Manages multiple intermediate, variable tasks and data review processes with limited supervision within targeted timelines
- Provides business solution architecture and implementation validation
- Engages in data profiling and source to target mapping
- Works on moderately complex data integration from disparate sources
- Applies expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers
- Supports multiple functions and levels of the organization and effectively communicates findings and insights to non-technical business partners
- Engages with customers and business partners to gather requirements and validate results
- Presents data-driven insights and recommendations to both internal and external stakeholders
- Performs other duties as assigned and complies with all policies and standards
Requirements
- A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science)
- Requires 2 – 4 years of related experience, or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill
- Experience with Big Data
- Data Processing experience
- Data Manipulation experience
- Data Mining experience
- Experience with one or more of the following: C#, Java, Programming Concepts, Programming Tools, Python, SQL
- Experience with Agile Software Development
- Intermediate - Seeks to acquire knowledge in area of specialty
- Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions
- Intermediate - Ability to work independently
