Data Analyst

Akaasa Technologies; Virginia; In loco; USD 70.000 - 90.000; Tempo pieno

Descrizione del lavoro

Akaasa Technologies in Richmond, VA is seeking a Data Analyst skilled in evaluating Azure cloud services from a FinOps/FP&A orientation. This role emphasizes cost modeling, forecasting, and IT financial reporting within an onsite 4-day pattern for local candidates within 50 miles.

The ideal candidate will combine financial acumen with hands-on data analytics to support strategic decisions, optimize Azure and on-premises workloads, and develop actionable insights for cloud cost management and

Competenze

• Bachelor's degree in Finance, Data Analytics, Information Systems, or related field.
• Proficiency in Power BI (Power Query, DAX), advanced Excel, and data visualization best practices.
• Data modeling and data manipulation across heterogeneous sources.
• Strong knowledge of Azure cost management and cloud billing structures.
• Understanding of server migrations and workload cost modeling.
• Ability to translate technical data into insights for finance and technical teams.

Mansioni

• Analyze IT financial data across Azure and on-premises environments, including consumption and chargeback models.
• Develop and maintain Power BI dashboards and reports to visualize cost trends and migration impacts.
• Perform variance analysis on IT spend and identify savings opportunities.
• Maintain datasets from Apptio, Azure Portal, and SharePoint sources.
• Document processes for financial reporting and analysis.
• Collaborate with cloud, I&O, and finance stakeholders to align cost models with operations.
• Model server cost scenarios to support Azure migration planning.
• Contribute to FinOps strategy with cost drivers and utilization insights.

Conoscenze

Data modeling

Financial analysis

Azure cost management

Just-In-Time capacity planning

Server migrations

Translation of data into insights

Formazione

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

Strumenti

Power BI

Excel

SQL

Apptio

Descrizione del lavoro

Data Analyst

seeking a data analyst skilled in evaluating Azure cloud services from a FinOps/FP&A orientation. This is not a standard Data Analyst Role. candidates within 50 Mile Radius of Richmond, VA.Requires 4 days a week onsite.

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 FinOps 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:

• FinOps certification or training.
• Experience with Azure Reserved Instances and Just-In-Time (JIT) capacity planning.
• Knowledge of enterprise architecture and strategic IT planning frameworks.