Data Analyst

Description

We are looking for a Data Analyst to join a Contract assignment in Mechanicsville, Virginia. This position focuses on evaluating financial and operational data tied to Azure cloud services and on-premises infrastructure, helping teams make informed decisions around forecasting, budgeting, and cost efficiency. The ideal candidate brings strong analytical capability, comfort with financial reporting, and the ability to turn complex data into clear business insights.

Responsibilities:
Examine cloud and infrastructure spending data to identify trends, usage patterns, and cost drivers across Azure and on-premises environments.
Build and refine Power BI dashboards and reporting tools that highlight budget performance, workload efficiency, and the financial impact of server-related changes.
Compare forecasted and actual technology spend on a monthly and annual basis, investigating variances and surfacing potential savings opportunities.
Maintain and improve reporting datasets by consolidating information from sources such as Apptio, Azure platforms, and SharePoint while preserving data quality.
Create clear documentation for recurring reporting methods, analytical workflows, and financial data management practices.
Partner with cloud operations, infrastructure teams, and finance stakeholders to ensure cost models reflect real operational conditions and business priorities.
Support migration and capacity planning efforts by modeling future cost scenarios and estimating resource needs for Azure environments.
Provide analysis that supports FinOps initiatives, including insights into utilization behavior, billing trends, and optimization opportunities.

Requirements

Bachelor's degree in Finance, Data Analytics, Information Systems, or a related discipline.
Advanced experience with Power BI, including Power Query, dashboard development, and data visualization techniques.
Strong proficiency in Excel and the ability to work with complex datasets from multiple source systems.
Knowledge of Azure cost management practices, cloud billing concepts, and Apptio reporting.
Experience with data modeling and data preparation for financial and operational analysis.
Understanding of workload migration planning and cost forecasting for infrastructure environments.
Ability to communicate technical and financial findings clearly to both technical teams and business stakeholders.
FinOps training or certification, along with familiarity with Reserved Instances or enterprise IT planning frameworks, is preferred.

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