Data Analyst 3 (Short Term) at TOMORROW HIREMechanicsville, Virginia, United States — contract

Description

Job Name: Data Analyst 3

Work Type: Hybrid - Mechanicsville, VA 23116

Employment Type: 1099 Contract, $33-$53/hr.

Start Date: 05/08/2026

End Date: 06/30/2026

Requisition ID: 799862

Overview

We are seeking a detail-oriented and technically proficient Data Analyst to support financial operations within a high-impact IT environment. This role focuses on analyzing and optimizing cloud and data center costs, supporting strategic decision-making, and enhancing financial transparency across enterprise systems.

Job Description

This role is part of the ITD FinOps team and is responsible for analyzing, modeling, and forecasting financial data across Azure cloud services and on-premises environments. The Data Analyst will play a critical role in cost optimization, financial reporting, and strategic planning by delivering actionable insights and maintaining high-quality data models.

Responsibilities

Technical Duties

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, migration impacts, and optimization opportunities

Perform variance analysis on monthly and annual IT expenditures to identify anomalies and cost-saving opportunities

Maintain and enhance datasets from sources such as Apptio, Azure Portal, and SharePoint

Data & Reporting

Ensure data accuracy and completeness across multiple heterogeneous data sources

Document financial reporting processes and analytical methodologies

Build and refine data models to support forecasting and financial planning

Collaboration & Strategy

Partner with cloud engineering, infrastructure & operations, and finance teams to align cost models with operational realities

Support Azure migration planning through cost modeling and reserve capacity forecasting

Contribute to FinOps strategy by identifying cost drivers and utilization patterns

Requirements

Minimum Qualifications

Bachelor’s degree in Finance, Data Analytics, Information Systems, or related field (4 years required)

5+ years of advanced proficiency in Power BI (including Power Query and DAX), advanced Excel, and data visualization best practices

5+ years of experience in data modeling and data manipulation across multiple heterogeneous data sources

5+ years of experience with Azu