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Data Analyst – Position

Job in Mechanicsville, Hanover County, Virginia, 23116, USA
Listing for: BranCore Technologies, LLC
Full Time, Part Time, Contract position
Listed on 2026-10-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

Contract Length: 8 months with the possibility of extending based on project need.
Candidate residing in Richmond, VA area is required.

Hybrid – must work onsite at a client’s location 2–3 days per week, candidate must be willing and able to work onsite at client site as required by the manager, including the designated number of days per week and scheduled times, as well as attend occasional additional in-person meetings as needed, with no exceptions

We are seeking a detail-oriented and technically proficient Data Analyst to join our client’s IT Fin Ops team!!

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

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 level of 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.
Required/Desired Skills
  • Bachelor’s degree in Finance, Data Analytics, Information Systems, or related field. Required, 4 Years
  • Advanced level of proficiency in Power BI, including Power Query and DAX, Excel (advanced), and data visualization best practices. Required, 6 Years
  • Some data modeling and data manipulation skills to maintain data sets from multiple, heterogenous sources. Required, 5 Years
  • High familiarity with Azure cost management, Apptio, and cloud billing structures. Required, 5 Years
  • Understanding of server migration strategies and workload cost modeling. Required, 5 Years
  • Ability to translate technical data into insights for technical teams and managers. Required, 6 Years
  • Ability to work independently and apply critical thinking to analyze complex financial data and develop actionable recommendations. Required, 4 Years
  • Proficiency in Power BI, including independently updating data, performing queries, and managing and analyzing datasets with little to no assistance. Required, 6 Years
  • Ability to translate complex data into clear, accurate, and actionable information for leadership and decision-making. Required, 4 Years
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