Senior Engineer - Maintenance Projects
Ecolab
This role builds and sustains an operational cockpit that connects engineering activity operational performance and basic financials into a clear trusted set of KPIs and Power BI dashboards. You will translate data into insights enabling leaders to focus on what matters most simplify decision-making and drive consistent execution.
Collect and structure data: Identify access and consolidate data from engineering and business sources (e.g. ERP/finance extracts timesheets CMMS/EAM project tools spreadsheets) ensuring quality traceability and reliable refresh.
Create and maintain clean data models and measures (Power Query DAX) so KPI definitions are consistent auditable and reusable.
Partner with engineering operations and finance to define and document KPIs across activity levels performance and financials (targets thresholds and drivers) creating a clear KPI dictionary and single source of truth.
Design the cockpit in Power BI: Build intuitive dashboards and scorecards (executive summary and operational drill-down) with trends targets variance to plan and exception views that help leaders prioritize and remove noise.
Deliver weekly/monthly performance reporting and automated refresh schedules; Collaborate as One Ecolab: Work cross-functionally to validate logic resolve data gaps and align the cockpit to the decisions leaders need to make.
Maintain documentation for KPI definitions calculation logic data lineage and change control to reduce number debates and improve decision speed.
Identify opportunities to automate manual reporting improve data capture and enhance the cockpit as priorities evolve.
Bachelors degree with 3 to 5 years of experience
Candidates must be excellent in Power BI and Power Query Good at MS SQL.
Hands-on experience building dashboards in Power BI (Power Query data modeling DAX measures).
ability to reconcile data explain variances and build confidence in the numbers.
Advanced Excel capability; working knowledge of SQL (or equivalent) for querying and validation.
Working understanding of engineering and/or operations performance concepts (e.g. throughput backlog cycle time downtime productivity utilization) and comfort engaging with technical stakeholders.
Ability to interpret basic financials (cost categories budget vs. actuals forecasts simple P&L drivers) and connect financial outcomes to operational drivers.
Experience with modern data platforms (Snowflake data warehouse/lake concepts ETL/ELT) and/or Azure data services.
Power BI administration experience (workspaces deployment row-level security governance).
Exposure to ERP and finance systems; understanding of cost accounting concepts relevant to engineering (e.g. maintenance cost project cost capex/opex).
Experience building executive scorecards and operational drill-down reporting that supports business reviews.
Lean/Continuous Improvement reliability or performance management exposure.
Required Experience:
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