Data Analyst 2

Typical Day in the Role

• Purpose of the Team: This team is part of the global support team. They provide end-user services (IT support) to internal employees. They help run the help desk.
• Key projects: This role will contribute to ensuring data quality for dashboards and reports that helps the business and service delivery teams make data-driven decisions.
  
  

Candidate Requirements

• Best vs. Average: The ideal candidate would have a strong attention to detail and commitment to data quality, solid interpersonal skills , and a a strong willingness to learn and adapt essential.
  
  

Data Analyst

Business Group: Digital Global Support (IT helpdesk organization)

Role Overview

We are seeking an experienced Data Analyst to deliver metrics, reporting, and insights for Digital Global Support. You will help ensure data quality for dashboards and reports used by business and service delivery teams, and you will contribute to analytics and AI/ML initiatives that improve service outcomes.

You will support our centralized reporting platform, Digital Nervous System (DNS), built on Azure, Microsoft Fabric, and Power BI. DNS integrates data from ServiceNow and other enterprise sources to enable. The platform enables operational performance tracking and continuous improvement.

Key Responsibilities

• Maintain and update documentation for the DNS reporting platform
• Design, build, and enhance Power BI reports and dashboards using one or more data sources
• Develop pipelines and datasets to ingest, store, and visualize data from new enterprise sources
• Build AI/ML solutions using Azure and Microsoft Fabric to identify patterns, trends, and anomalies that improve operational insights (for example, supporting 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 the appropriate engineering/support teams
• Improve report and dashboard usability and interactivity based on end-user feedback
• Deliver recurring training sessions to help stakeholders understand and use DNS metrics
• Collaborate with stakeholders to support new reporting solutions and enhancements
  
  

Education/Experience:

• Bachelor's degree in a technical field such as computer science, computer engineering or related field required
• 2-4 years applicable experience required
  
  

Explain a typical day in the role.:

Key Responsibilities

• Maintain and update documentation for the Digital Nervous System (DNS) reporting platform
• Design, build, and enhance reports and dashboards using single or multiple data sources
• Create solutions to get, store, and visualize data from new sources
• Build AM/ML solutions using Azure and Microsoft Fabric to identify patterns, trends, and anomalies for problem management
• Perform data validation, testing, and user acceptance (UAT) to ensure data accuracy and consistency
• Improve dashboard usability and interactivity based on end user feedback-user feedback
• Deliver recurring training sessions to help stakeholders understand and consume DNS metrics
• Collaborate with stakeholders to support new reporting solutions and enhancements
  
  

What is the ideal background of a candidate for this role?:

• Degree in Computer Science, Data Analytics, or a related field
• Microsoft certifications such as:
• Azure Data Fundamentals
• Power BI Data Analyst Associate
• Azure AI Fundamentals
  
  

What are unique selling points that would get candidates interested in your role over another?:

This role offers the opportunity to work a company leading the way in AI and machine learning, building real solutions using the latest and greatest technologies.

How will contractor performance be measured?:

Deliverable based

Where is the work able to be performed?: Remote

If Onsite or HWA required, indicate why:

If REMOTE: Are work hours flexible to accommodate time zone variance (+/- 2-3 hours?):

Yes

Top 3 Must-Have HARD Skills & years of experience for each:

• Experience using Azure Machine Learning to build low-code/no-code solutions
• Hands-on experience with ServiceNow data and IT Service Management (ITSM) modules
• Strong experience with Power BI, including data visualization, modeling, and DAX
• Working knowledge of SQL and Kusto Query Language (KQL)