DATA ANALYST (contract)

Microsoft; Redmond; Remote; AUD 84,000 - 95,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k) retirement plan

Life insurance

Disability insurance

Health Savings Account (HSA)

Employee Assistance Program

Paid time off

Job summary

Microsoft, contracted through Allegis Global Solutions, seeks a Data Analyst to drive third-party software and licensing analysis. You will design and maintain Power BI and Microsoft Fabric dashboards, manage large-scale ETL processes, and deliver data-driven insights to optimize costs.

This fully remote role operates in Pacific Time with a 40-hour week. Ideal candidates have 2+ years in data analysis, proficiency in SQL and scripting, and a BS in CS/CE or related fields.

Qualifications

• 2+ years of hands-on data analysis and reporting experience.

Responsibilities

• Collaborate with senior management and stakeholders to determine data requirements.

Skills

Power BI

SQL

Python

PowerShell

ETL

Data analysis

Education

Bachelor's degree in CS/CE or related field

Tools

Microsoft Fabric

Job description

Data Analyst (Contract)

Please note that this is a contract role providing services to Microsoft through external staffing partners of Allegis Global Solutions. If you are selected for this role, you will be employed by AGS and will not be an employee of Microsoft.

Summary

We are seeking a detail-oriented and analytically driven professional to join a dynamic team focused on third‑party software and licensing analysis. In this role, you will coordinate and implement changes to reporting infrastructure, leveraging tools such as Power BI and Microsoft Fabric to deliver actionable insights. You will apply your expertise in database management systems and querying to support data‑driven decision‑making across the organization. This is a fully remote position requiring availability within the Pacific Time Zone, offering a Monday through Friday schedule at 40 hours per week with potential for extension.

Job Responsibilities

• Collaborate with senior management, technical teams, and client stakeholders to determine data requirements and business data implementation approaches
• Coordinate and implement changes to reporting solutions including Power BI and Microsoft Fabric dashboards
• Design, implement, automate, and maintain large‑scale enterprise data ETL processes
• Write and code logical and physical database descriptions and specify identifiers of database management systems
• Modify existing databases and database management systems, directing programmers and analysts to make changes as needed
• Test programs and databases, correct errors, and make necessary modifications to ensure data integrity
• Apply best practices for advanced data manipulation, storage, and analysis strategies
• Deliver analytical recommendations and insights to measure and optimize costs, including AI‑related spend analysis

Requirements

• 2+ years of hands‑on experience with data analysis, reporting, and Power BI
• Proficiency with database technologies and database management systems
• Strong knowledge of ETL processes and data pipeline development
• 2–4 years of applicable experience in data analysis or a related field required
• Proven track record of successfully delivering data analysis projects and actionable recommendations
• Experience working with large‑scale enterprise data environments preferred
• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field required
• Proficiency in at least one scripting language (e.g., Python, SQL, PowerShell)
• Strong written and oral communication skills with the ability to present findings to technical and non‑technical audiences
• Demonstrated troubleshooting and problem‑solving abilities
• Passion for working with data and enabling businesses to make better data‑driven decisions
• Familiarity with AI concepts and their application to cost analysis is a plus

Additional Details

• Location: Remote
• Duration: 8 months
• Pay Range*: $43 - $48.50 per hour
• Weekly Schedule: 40 hours
• Job Status: Non‑Exempt
• Application Deadline: Apply within 72 hours of the posting date to ensure consideration.

This Role Is Eligible For The Following Benefits

• Medical, dental & vision
• Hospital plans
• 401(k) Retirement Plan – Pre‑tax and Roth post‑tax contributions available
• Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
• Company paid short and long‑term disability
• Health & Dependent Care Spending Accounts (HSA & DCFSA)
• Employee Assistance Program
• Time Off/Leave(PTO, Allegis Group Paid Family Leave, Parental Leave

Benefits are subject to change and may be subject to specific elections, plan, or program terms.

AGS is an Equal Opportunity Employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you require a reasonable accommodation related to the application or interview process due to a disability, please email [e-mail]. This inbox is monitored solely for accommodation requests.

In accordance with the Immigration Reform and Control Act of 1986, employment is contingent upon verification of identity and authorization to work in the United States. All persons hired will be required to complete Form I-9 and provide acceptable documentation as required by law.

Please note that we may use artificial intelligence (AI) tools to screen, assess, or select applicants for this position. These tools may analyze application materials and assist our team in identifying candidates whose qualifications best match the requirements of the role. If you have questions about our use of AI in the hiring process, or would like more information, please contact us.

• We reserve the right to pay above or below the posted wage based on factors unrelated to protected classifications.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job‑related factors.