DATA ANALYST (contract)

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 global IT support organization focused on delivering end-user services to internal employees. In this role, you will play a critical part in ensuring data quality across dashboards and reports that empower business and service delivery teams to make informed, data-driven decisions. You will support a centralized reporting platform built on modern cloud and analytics technologies, integrating data from enterprise sources to enable operational performance tracking and continuous improvement. This position offers the opportunity to contribute to both traditional reporting and cutting-edge AI and machine learning initiatives that drive meaningful improvements in service outcomes.

Job Responsibilities

• Maintain and update documentation for the centralized reporting platform
• Design, build, and enhance reports and dashboards using single or multiple data sources
• Develop pipelines and datasets to ingest, store, and visualize data from new enterprise sources
• Build AI/ML solutions to identify patterns, trends, and anomalies that improve operational insights, including support for problem management
• Perform data validation, testing, and user acceptance testing (UAT) to ensure data accuracy and consistency
• Investigate and determine root causes of data discrepancies and document defects with appropriate engineering and support teams
• Improve report and dashboard usability and interactivity based on end-user feedback
• Deliver recurring training sessions to help stakeholders understand and effectively use platform metrics
• Collaborate with stakeholders to support new reporting solutions and enhancements

Requirements

• 2 to 4 years of applicable experience in data analytics, business intelligence, or a related field
• Demonstrated experience building and maintaining dashboards and reports for operational or business use cases
• Prior experience working within IT service management or help desk environments is a plus
• Bachelor's degree in computer science, computer engineering, or a related technical field required
• Strong experience with Power BI, including data visualization, data modeling, and DAX
• Working knowledge of SQL and Kusto Query Language (KQL)
• Experience using Azure Machine Learning to build low-code and no-code solutions
• Hands-on experience with ServiceNow data and IT Service Management (ITSM) modules
• Familiarity with Azure and Microsoft Fabric for data integration and analytics workflows
• Strong attention to detail and commitment to data quality
• Solid interpersonal and communication skills
• Willingness to learn and adapt to evolving technologies and business needs

Additional Details

• Location: Remote
• Duration: 2 months
• Pay Range*: $36 - $40.50 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 accommodation@allegisglobalsolutions.com. This inbox is monitored solely for accommodation requests. For questions about open roles or to apply, please submit your application through the job posting, as this inbox is not monitored by recruiters and applications sent here will not be reviewed.

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.

San Francisco Candidates only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

City of Los Angeles Candidates only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring.

Key skills/competency

• Data Analysis
• Power BI
• SQL
• Kusto Query Language (KQL)
• Azure Machine Learning
• ServiceNow
• IT Service Management (ITSM)
• Azure
• Microsoft Fabric
• Data Visualization