Financial Data Analyst

Senior Financial Workload Analyst – Temp-to-Perm (Onsite Phoenix)

Location:
Phoenix, Arizona (onsite/hybrid)

Employment Details:

• Contract-to-Hire (Temp-to-Perm):
  Initial 6-month contract with intent to convert to permanent based on performance and business needs.
• Work Authorization:
  Must be a
  U.S. resident authorized to work in the United States
  (no sponsorship available).
• Location:
  Phoenix, AZ (onsite)
• Pre-Employment Requirements:
  Successful completion of a
  mandatory drug screening
  .

Overview:

We are seeking a seasoned Financial Workload Analyst to join our team in Phoenix. This temp-to-perm role involves compiling and analyzing financial and operational data to inform strategic business decisions. You'll focus on workload forecasting, staffing analysis, volume trends, and performance metrics, delivering clear and actionable insights to leadership.

What You'll Do:

• Develop and maintain advanced data models and forecasts to support planning efforts.
• Analyze trends, volumes, and performance metrics to guide operational decisions and recommendations.
• Conduct scenario planning to evaluate process improvements.
• Collaborate with internal teams to identify key performance indicators and gather data.
• Prepare financial reports, perform variance analysis, and contribute to month-end summaries.
• Forecast staffing needs and salary budgets using workload models.
• Present findings and insights to leadership, supporting strategic planning.
• Document processes and ensure compliance with internal policies.
• Perform both routine and ad-hoc analysis on weekly, monthly, and annual cycles.
• Undertake other duties as assigned.

What You Bring:

• Bachelor's degree in Finance, Accounting, or a related field.
• 5+ years of experience in data analysis, modeling, and forecasting.
• Advanced skills in Excel, along with proficiency in Word and PowerPoint.
• Strong background in creating and presenting reports.

Preferred Qualifications:

• 6+ years in financial analysis roles.
• Experience with PeopleSoft, nVision, and Query.
• Familiarity working with large datasets and high-volume reporting environments.