Senior Analyst, EAM

Responsibilities

• Perform User onboarding/offboarding, permission management, and access compliance administration.
• Serve as the primary escalation point for complex EAM/CMMS issues not resolved by Analysts.
• Evaluate, design, configure, and implement EAM functionality, workflows, and UI modifications.
• Support integrations through API testing, data mapping validation, and coordination with IT and software vendors.
• Develop SQL queries and contribute to KPIs, dashboards, and fleet-wide analytics in Power BI.
• Develop reports and visualizations using Excel, Cognos, and Power BI.
• Lead testing and validation efforts for upgrades, new features, and module rollouts.
• Contribute to training material creation and deliver training sessions for end users.
• Document findings, resolve issues, and ensure cross-functional readiness for new releases.
• Maintain configuration documentation, workflow diagrams, and system usage standards.
• Collaborate with Operations, Engineering, Accounting, Procurement, and Business Transformation on system improvements.
• Participate in site visits to better understand maintenance activities and operational data flow.

Requirements

• Bachelor’s degree in MIS, Computer Science, Engineering, Data Analytics, or related field.
• Proficiency in SQL, or related programming languages, including joins, aggregations, and data validation.
• Ability to troubleshoot complex workflows, data mining, and configuration issues independently.
• Experience leading testing efforts (UAT, regression) and documenting technical findings.
• Demonstrated ability to design or optimize workflows, screens, or configurations.
• Strong communication skills with the ability to coordinate cross-functional problem-solving.
• Collaborate with Administrators to support documentation, workflow clarification, and readiness for system changes.
• Ability to travel up to 10–20% to support training, testing, and site coordination.
• Valid driver’s license and acceptable driving record.

Preferred Skills And Experience

• Advanced SQL capabilities, including performance tuning and query optimization.
• Hands-on experience supporting integrations, APIs, middleware, or interface troubleshooting.
• Experience with data lakes, data warehousing, or BI pipelines.
• Experience building Power BI dashboards or KPI models.
• Exposure to reliability engineering concepts such as MTBF, failure codes, asset criticality scoring, or ISO 14224 hierarchy standards.
• Experience leading small projects or functional workstreams (e.g., module rollout, upgrade testing, audit readiness).
• Experience mentoring or training junior Analysts.

Related Experience

• 2-4 years of experience with a transferable skillset.