Engineering Operations Analyst Generative AI & Data

Demonstrate exceptional communication, interpersonal, organizational, and multitasking skills while meeting tight deadlines, maintaining high productivity, and supporting flexible work schedules, including extended business-critical work periods. Role Description: Utilize advanced Microsoft Excel skills, including XLOOKUP/VLOOKUP, Pivot Tables, Macros, VBA scripting, and automation techniques to develop and maintain operational reports and dashboards.

Job Title: Engineering Operations Analyst – Generative AI & Data
Location: Mt. Laurel, NJ (Onsite)
Duration: 6 Months
 
Salary Range: $36.00 - $38.00/Hour on W2 (Without Benefits).
Applicants must be willing to work on W2
 
Interview:Must be available for Face-to-Face Interview
 
Job Description:

• Overall Experience Required is 6–8 years.
• Must Have 7+ years in Generative AI.

Role Description:

• Utilize advanced Microsoft Excel skills, including XLOOKUP/VLOOKUP, Pivot Tables, Macros, VBA scripting, and automation techniques to develop and maintain operational reports and dashboards.
• Expertise in SQL database build and querying.
• Expertise in generative AI Claude coding.
• Analyze, validate, reconcile, and interpret large datasets to provide actionable insights and support engineering leadership decision-making.
• Create and maintain engineering metrics, scorecards, trackers, and management reports with a high degree of accuracy.
• Support vendor management activities, including resource tracking, onboarding/offboarding coordination, invoice validation, and vendor reporting.
• Manage and maintain knowledge repositories, operational documentation, procedures, and governance artifacts.
• Prepare recurring and ad hoc reports, presentations, summaries, and operational reviews for leadership and stakeholders.
• Handle sensitive business, financial, and personnel information with the highest standards of ethics, confidentiality, and discretion.
• Coordinate effectively with engineering teams, vendors, project managers, finance, HR, and leadership to support operational objectives.
• Identify process improvement opportunities, automate manual activities, and enhance operational efficiency through analytical problem-solving.
• Demonstrate exceptional communication, interpersonal, organizational, and multitasking skills while meeting tight deadlines, maintaining high productivity, and supporting flexible work schedules, including extended business-critical work periods.

Essential Skills:
Advanced Microsoft Excel:

• XLOOKUP/VLOOKUP, Pivot Tables, Macros, VBA scripting, and automation.
• SQL database build and querying.
• Generative AI Claude coding.
• Data analysis, validation, reconciliation, and interpretation.
• Engineering metrics, scorecards, trackers, and management reporting.
• Vendor management, resource tracking, onboarding/offboarding coordination, invoice validation, and vendor reporting.
• Knowledge repositories, operational documentation, procedures, and governance artifacts.
• Recurring and ad hoc reporting, presentations, summaries, and operational reviews.
• Process improvement and automation.
• Exceptional communication, interpersonal, organizational, and multitasking skills.