Maximo Asset Data Analyst & Insights Lead

Westinghouse Electric; Village of Lake Placid (NY); On-site; USD 48,000 - 55,000; Full time

Benefits offered by this job

Health benefits

401(k) savings plan

Paid vacations

Job summary

Westinghouse Electric’s WECTEC Staffing Services seeks an Engineering Analyst to manage asset data in IBM Maximo, ensuring accuracy and enabling data-driven decisions. You will coordinate with maintenance, engineering, and IT to improve asset lifecycle management and drive operational efficiency, including data load, validation, and ongoing updates.

The role emphasizes data analytics, reporting, and training users on standardized data practices, with dashboards for asset performance and

Qualifications

• Experience with IBM Maximo or similar Enterprise Asset Management (EAM) systems.
• Strong SQL, Excel, and Power BI skills.
• Bachelor's degree or 8+ years of experience in related fields.
• Excellent written and verbal communication, analytical and problem-solving abilities.

Responsibilities

• Gather and prepare data from multiple sources for upload and map to Maximo fields.
• Validate data quality and consistency within Maximo; troubleshoot discrepancies.
• Collaborate with teams to automate workflows and streamline reporting.
• Extract, analyze, and load asset and location data to support maintenance goals.
• Support data migration, system upgrades, and configurations for Maximo.
• Train users on automated data entry and reporting tools.
• Maintain dashboards and reports for asset performance and compliance.

Skills

Communication skills

Analytical thinking

SQL

Excel

Power BI

Education

Degree in Information Systems / Data Analytics / Computer Science / Business

8+ years of equivalent experience

Tools

IBM Maximo

Job description

Westinghouse Electric’s WECTEC Staffing Services seeks an Engineering Analyst to manage asset data in IBM Maximo, ensuring accuracy and enabling data-driven decisions. You will coordinate with maintenance, engineering, and IT to improve asset lifecycle management and drive operational efficiency, including data load, validation, and ongoing updates.

The role emphasizes data analytics, reporting, and training users on standardized data practices, with dashboards for asset performance and