Data Analyst

* This is a 1-year contract position*

* Hybrid – Local to Mechanicsville, VA only, please

This role is pivotal in analyzing, modeling, and forecasting financial data related to cloud services and on-premises data center workloads. The ideal candidate combines financial acumen with strong data analytics skills to support strategic decision‑making, cost optimization, and financial planning initiatives.

• Analyze and interpret IT financial data across cloud and on-premises environments, including consumption billing and chargeback models.
• Develop and maintain Power BI dashboards and reports to visualize cost trends, migration impacts, and workload optimization opportunities.
• Perform monthly and annual variance analysis of IT spending, identifying anomalies, cost drivers, and opportunities for savings.
• Maintain and enhance datasets from multiple internal and external data sources to ensure accuracy, completeness, and consistency.
• Document processes and procedures for financial reporting, data management, and analysis.
• Collaborate with technical teams and finance stakeholders to align cost models with operational requirements and business objectives.
• Support cloud migration planning by modeling server cost scenarios and forecasting capacity requirements.
• Contribute to Fin Ops strategy development by providing insights into cost drivers, utilization patterns, and optimization opportunities.
• Translate complex financial and technical data into clear, actionable insights for technical teams, managers, and leadership.
• Work independently and apply critical thinking to analyze complex financial data and develop actionable recommendations.

• Fin Ops certification or formal Fin Ops training.
• Experience with cloud reserved capacity and Just-In-Time (JIT) capacity planning.
• Knowledge of enterprise architecture and strategic IT planning frameworks.
• Experience with financial modeling, forecasting, and IT cost optimization.
• Familiarity with cloud migration financial analysis and workload optimization.

• Bachelor’s degree in Finance, Data Analytics, Information Systems, or a related field — 4+ years of relevant experience required
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• Advanced proficiency in Power BI, including Power Query and DAX, along with advanced Excel skills and strong data visualization practices — 6+ years required
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• Experience with data modeling and data manipulation, including maintaining datasets from multiple heterogeneous sources — 5+ years required
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• Strong familiarity with cloud cost management, IT financial management platforms, and cloud billing structures — 5+ years required
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• Understanding of server migration strategies and workload cost modeling — 5+ years required
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• Ability to translate technical and financial data into meaningful insights for technical teams and management — 5+ years required
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• Ability to work independently and apply critical thinking to analyze complex financial data and develop actionable recommendations — 4+ years required
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• Proven ability to independently update Power BI data, perform queries, and manage and analyze datasets with minimal assistance — 6+ years required
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• Ability to translate complex data into clear, accurate, and actionable information to support leadership and decision-making — 4+ years required
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