Data Analyst III
@ Centene Corporation

Hybrid
$100,000
Hybrid
Full Time
Posted 23 days ago

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Job Details

Overview

Centene Corporation is transforming community health for 28 million members. As a Data Analyst III at Centene Corporation, you will be responsible for addressing the analytic data needs for the business unit by handling complex data projects and leading other Data Analysts.

Position Purpose

This role provides advanced analytical support for business operations in areas including claims, provider data, member data, clinical data, HEDIS, pharmacy, and external reporting. You will extract, load, model, and reconcile large amounts of data across multiple systems and ensure compliance with federal and state deliverable reporting requirements.

Key Responsibilities

  • Extract, load, model, and reconcile large volumes of data.
  • Review operational impacts and elevate issues for management.
  • Develop reports and deliverables using MS Excel, Access, SQL, and analytical tools.
  • Conduct data quality audits and ensure compliance with reporting requirements.
  • Assist with mentoring and training other Data Analysts.

Technical Requirements

Proficiency with SQL, SSIS, Snowflake, and Power BI is highly preferred. Candidates must have 4+ years of statistical or data analysis experience. Healthcare experience is a plus.

Work Schedule & Benefits

Candidates are expected to work Pacific Time Zone hours (8am to 5pm). Centene offers competitive benefits including health insurance, 401K, tuition reimbursement, paid time off, and flexible work arrangements such as remote, hybrid, field, or office.

Key Skills/Competency

  • SQL
  • Data Modeling
  • Power BI
  • Snowflake
  • SSIS
  • Data Analysis
  • Excel
  • Reporting
  • Data Quality
  • Healthcare Analytics

How to Get Hired at Centene Corporation

🎯 Tips for Getting Hired

  • Customize your resume: Align data analysis skills and project experience.
  • Highlight technical proficiency: Emphasize SQL, Power BI, and Snowflake expertise.
  • Demonstrate industry knowledge: Showcase healthcare analytics experiences.
  • Prepare detailed examples: Discuss specific data projects and results.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization techniques.
Practice Power BI dashboard creation.
Study Snowflake data warehousing fundamentals.
Brush up on SSIS integration workflows.

Behavioral Questions

Describe a challenging data project.
Explain how you mentor colleagues.
Discuss prioritization during tight deadlines.
Tell about conflict resolution in teams.

Frequently Asked Questions