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Salary
$59k – $72k per year
Location
Hybrid (Northbrook, United States)
Seniority
Junior · 1+ year exp

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 26, 2026. UL Solutions scores A on the Alion truth index.

Overview
Company
Impact
Profile match
UL Solutions is a safety science company headquartered in Northbrook, Illinois, that provides product testing, inspection and certification services, plus software and advisory services, for manufacturers in automotive, energy, building products, chemicals, consumer goods and electronics. Its heritage dates to 1894, when William Henry Merrill founded the organization now split into UL Solutions, UL Standards & Engagement and UL Research Institutes; UL Solutions listed on the New York Stock Exchange in 2024. It hires project and laboratory engineers, laboratory technicians, auditors, cybersecurity consultants, sales executives and interns, with large hiring in Northbrook and East Asia.

The 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.

Data 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 or predictive models that identify future trends, risks, and opportunities.

Required

  • Bachelor's degree in Data Science, Analytics, Statistics, Computer Science, Sustainability, or a related field.
  • 1-3 years of experience in data analytics, business intelligence, reporting, forecasting, data science or related disciplines.
  • Experience developing or supporting Power BI dashboards and reports, including data modeling, Power Query, DAX, and visualization best practices.
  • Strong analytical and problem-solving skills, with the ability to translate data into actionable business insights.
  • Advanced proficiency in Microsoft Excel and common data analysis techniques.
  • Experience working with large or complex datasets and performing data validation and quality assurance.
  • Strong communication skills, including the ability to present findings to diverse stakeholder groups.
  • Ability to balance advanced analytical work with recurring data input, maintenance, and reporting responsibilities.

Preferred

  • Experience with SQL, Python, R, or similar analytical and data science tools.
  • Experience developing forecasting models, scenario analyses, or predictive analytics solutions.
  • Experience with enterprise sustainability and reporting platforms preferred (e.g., UL360, Watershed, Persefoni, Workiva)
  • Knowledge of sustainability, ESG, environmental, health and safety, or operational datasets.
  • Familiarity with sustainability reporting frameworks such as GRI, CSRD, CDP, SASB, or the GHG Protocol.
  • Experience with data governance, master data management, workflow automation, or cloud-based data platforms.

Total Rewards: We understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $58,800- $72,000 and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 5% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday and personal days (totaling 12 days), and sick time off (72 hours).

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