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Data Analyst

Job in Mechanicsville, Hanover County, Virginia, 23116, USA
Listing for: Mbi Llc
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Key Responsibilities

  • Analyze and interpret IT financial data across Azure and VITA environments, including consumption, billing, and chargeback models.
  • Develop and maintain Power BI dashboards and reports to visualize cost trends, server migration impacts, and workload optimization opportunities.
  • Perform variance analysis on monthly and annual IT spend, identifying anomalies and opportunities for savings.
  • Manually maintain and enhance datasets from Apptio, Azure Portal, and SharePoint sources to ensure accuracy and completeness.
  • Document processes and procedures for financial reporting and analysis.
  • Collaborate with the technical cloud team, I&O team and finance stakeholders to align cost models with operational realities.
  • Support Azure migration planning by modeling server cost scenarios and forecasting reserve capacity needs.
  • Contribute to Fin Ops strategy development by providing insights on cost drivers and utilization patterns.
Required

Skills & Qualifications
  • Bachelor’s degree in Finance, Data Analytics, Information Systems, or related field.
  • Advanced proficiency in Power BI, including Power Query and DAX, Excel (advanced), and data visualization best practices.
  • Some data modeling and data manipulation skills to maintain data sets from multiple, heterogenous sources.
  • High familiarity with Azure cost management, Apptio, and cloud billing structures.
  • Understanding of server migration strategies and workload cost modeling.
  • Ability to translate technical data into insights for technical teams and managers.
Preferred Qualifications
  • Fin Ops certification or training.
  • Experience with Azure Reserved Instances and Just-In-Time (JIT) capacity planning.
  • Knowledge of enterprise architecture and strategic IT planning frameworks.
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