DescriptionThe Associate Sustainability Data Analyst is responsible for supporting sustainability data collection, validation, governance, reporting and visualization activities across the organization. The role partners with business stakeholders to maintain accurate and reliable datasets, support data governance processes, and develop reports, dashboards, and analytical tools that enable sustainability performance measurement and decision-making. Leveraging data analytics, business intelligence and data science techniques, the role analyzes reporting trends, identifies insights and supports forecasting activities that drive measurable business value.
This is a full-time, hybrid (3 days in office) position located at our Northbrook, IL office.
ResponsibilitiesData Input, Quality and Governance
•Perform data entry, uploads, validation, and maintenance activities within the enterprise sustainability data and reporting software(s).
•Monitor data quality and investigate missing values, anomalies, inconsistencies, and reporting issues.
•Support data governance standards, data definitions, process documentation, and audit-readiness activities.
•Collaborate with data owners and business partners to improve data accuracy, completeness, timeliness, and reliability.
Reporting and Visualization
•Support design, development, and maintenance of Power BI dashboards, reports, semantic models, and interactive analytics solutions.
•Use Power Query and DAX to transform data, create measures, and support scalable reporting.
•Develop automated reporting solutions that improve efficiency and reduce manual effort.
•Develop analytical tools, calculators, models, and self-service capabilities that help users identify and act on insights.
•Identify opportunities to automate data preparation, recurring reporting, and quality checks.
Analytics & Business Insights
•Analyze sustainability datasets, including carbon emissions, energy consumption, water usage, waste generation, and other key business metrics.
•Identify patterns, trends, anomalies, risks, and opportunities through quantitative and qualitative analysis.
•Translate complex analytical findings into clear, actionable recommendations for business stakeholders.
•Support KPI development, performance measurement, benchmarking, and target-setting initiatives.
•Support implementation of new metrics, KPIs, data collection methods, and analytical methodologies.
Forecasting & Predictive Analytics
•Support development of forecasts, projections, and scenario analyses to support strategic planning and target-setting activities.
•Assist in the development and maintenance of statistical