Senior Financial Data Analytics Lead - Remote

Centene Corporation

California

Hybrid

USD 70,000 - 126,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
401K and stock purchase plans
Tuition reimbursement
Paid time off plus holidays

Job summary

Centene is seeking a finance-focused data analyst to support the organization with financial data analysis, reporting, and forecasting. The role combines financial analysis tools with data analytics to generate, interpret, and present insights that guide leadership decisions.

The ideal candidate has 4+ years of statistical or data analysis experience, strong Excel and SQL skills, and familiarity with government reporting and month-end close processes.

Qualifications

  • Bachelor's degree or equivalent experience.
  • 4+ years of statistical or data analysis experience.
  • Experience with financial analysis focused on month end close, government reporting, and financial forecasting.
  • General knowledge of analysis tools, SQL, and Microsoft Applications.

Responsibilities

  • Develop integrated revenue/expense analyses, projections, reports, and presentations.
  • Create and analyze monthly, quarterly, and annual reports and support accurate financial reporting and accrual analysis.
  • Identify financial trends and developments, analyze underlying drivers, and present findings to leadership.
  • Perform financial forecasting and reconciliation of internal accounts.
  • Support business initiatives through data analysis, identification of implementation barriers and user acceptance testing of various systems.
  • Diagnose problems and identify opportunities for process redesign and improvement.

Education

Bachelor's degree or equivalent experience

Tools

SQL
Excel

Job description

Centene is seeking a finance-focused data analyst to support the organization with financial data analysis, reporting, and forecasting. The role combines financial analysis tools with data analytics to generate, interpret, and present insights that guide leadership decisions.

The ideal candidate has 4+ years of statistical or data analysis experience, strong Excel and SQL skills, and familiarity with government reporting and month-end close processes.

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