Data Analyst 3

DKMRBH Inc; Virginia Beach (VA); On-site; USD 90,000 - 130,000; Full time

Job summary

DKMRBH Inc. is seeking an experienced Data Analyst for Cloud FinOps & Cost Analytics to model, forecast, and optimize IT costs across Azure cloud services and on-prem workloads.

You will build Power BI dashboards, analyze consumption, and collaborate with finance and engineering teams to support migrations and strategic IT decisions. The role requires strong data analytics, financial analysis, and cloud cost management skills, with a focus on cost optimization and forecasting.

Qualifications

• Bachelor's degree in Finance, Data Analytics, Information Systems, Business, or a related field.
• Advanced proficiency with Power BI, including Power Query and DAX.
• Advanced Excel skills and strong data visualization capabilities.
• Experience with data modeling and data manipulation.
• Experience working with data from multiple and heterogeneous sources.
• Strong understanding of Azure cloud cost management and cloud billing structures.
• Experience with IT financial data, cost analysis, or technology spend analysis.
• Knowledge of workload/server cost modeling and cloud migration strategies.
• Ability to analyze complex datasets and communicate findings to technical and business stakeholders.

Responsibilities

• Analyze and interpret IT financial data related to Azure cloud services and on-premises data center environments.
• Analyze cloud consumption, billing, chargeback, and cost allocation data.
• Develop and maintain Power BI dashboards and reports to visualize cost trends, migration impacts, utilization, and optimization opportunities.
• Perform monthly and annual variance analysis of IT spending and identify anomalies, cost drivers, and potential savings.
• Maintain and enhance datasets from multiple sources, including cloud portals, IT financial management platforms, and collaboration/document repositories.
• Perform data manipulation, validation, reconciliation, and quality checks across heterogeneous data sources.
• Document processes and procedures related to financial reporting, data analysis, and cost management.
• Collaborate with cloud engineering, infrastructure, operations, and finance stakeholders to align cost models with operational requirements.
• Support cloud migration planning by modeling workload and server cost scenarios.
• Forecast capacity and cloud consumption requirements to support financial planning.
• Provide analytical insights to support FinOps strategy, cost optimization, and cloud utilization initiatives.
• Translate technical and financial data into actionable insights for technical teams and management.

Skills

Power BI

Advanced Excel

Data modeling

Data visualization

Power Query

DAX

Azure cost management

IT financial data

Cloud billing

Stakeholder communication

Education

Bachelor's degree in Finance, Data Analytics, Information Systems, Business, or a related field

Tools

Apptio

Azure Portal

SharePoint

Job description

Position Summary

Data Analyst Cloud FinOps & Cost Analytics Position Summary

We are seeking an experienced

Data Analyst Cloud FinOps & Cost Analytics

to analyze, model, and forecast financial and operational data related to cloud services and on-premises data center workloads.

The ideal candidate will combine strong

data analytics, Power BI, financial analysis, and cloud cost management

skills to support cost optimization, cloud migration planning, and strategic technology decision-making.

Key Responsibilities

• Analyze and interpret IT financial data related to Azure cloud services and on-premises data center environments.
• Analyze cloud consumption, billing, chargeback, and cost allocation data.
• Develop and maintain Power BI dashboards and reports to visualize cost trends, migration impacts, utilization, and optimization opportunities.
• Perform monthly and annual variance analysis of IT spending and identify anomalies, cost drivers, and potential savings.
• Maintain and enhance datasets from multiple sources, including cloud portals, IT financial management platforms, and collaboration/document repositories.
• Perform data manipulation, validation, reconciliation, and quality checks across heterogeneous data sources.
• Document processes and procedures related to financial reporting, data analysis, and cost management.
• Collaborate with cloud engineering, infrastructure, operations, and finance stakeholders to align cost models with operational requirements.
• Support cloud migration planning by modeling workload and server cost scenarios.
• Forecast capacity and cloud consumption requirements to support financial planning.
• Provide analytical insights to support FinOps strategy, cost optimization, and cloud utilization initiatives.
• Translate technical and financial data into actionable insights for technical teams and management.

Required Qualifications

• Bachelor's degree in Finance, Data Analytics, Information Systems, Business, or a related field.
• Advanced proficiency with Power BI, including Power Query and DAX.
• Advanced Excel skills and strong data visualization capabilities.
• Experience with data modeling and data manipulation.
• Experience working with data from multiple and heterogeneous sources.
• Strong understanding of Azure cloud cost management and cloud billing structures.
• Experience with IT financial data, cost analysis, or technology spend analysis.
• Knowledge of workload/server cost modeling and cloud migration strategies.
• Ability to analyze complex datasets and communicate findings to technical and business stakeholders.

Preferred Qualifications

• Experience with
  Apptio
  or similar IT financial management / Technology Business Management tools.
• Experience with
  FinOps
  practices, certification, or training.
• Experience with Azure Reserved Instances and cloud capacity planning.
• Experience with Just-In-Time (JIT) capacity planning.
• Knowledge of enterprise architecture and strategic IT planning.
• Experience with cloud cost optimization and forecasting.
• Experience working with Azure Portal, SharePoint, or similar enterprise data sources.