Senior Advanced Analytics Analyst

Grainger

Senior Advanced Analytics Analyst at Grainger analyzing large datasets and providing decision-ready insights. Collaborating with teams to develop data-driven strategies and present findings to leadership.

Posted 7/1/2026full-timeRemote • Illinois • 🇺🇸 United StatesSenior💰 $104,832 - $134,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and visualization, utilizing tools such as R, Python, SQL, and Tableau to derive actionable insights. Proficient in developing analytical models and collaborating with cross-functional teams to implement data-driven strategies.

Highest-signal resume keywords

Data AnalysisPython ProgrammingSQL ProficiencyData VisualizationAnalytical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisQuantitative ModelingLinear ProgrammingOptimization ModelsData ProcessingData ValidationSensitivity ReportsStatistical AnalysisBusiness AnalyticsOperations Research

Soft Skills

CollaborationCommunicationProblem-SolvingPresentation Skills

Tools & Technologies

RPythonSQLTableauPowerBIMS Excel

Industry Keywords

Business InsightsCross-Functional TeamsData-Driven StrategiesLeadership PresentationsLarge Data Sets

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Analyze data to provide actionable insights for business decisions.
Collaborate with cross-functional teams to implement data-driven strategies.
Develop and maintain analytical models and tools.
Present findings to leadership teams.

Requirements

What you’ll need

Bachelor’s degree in Statistics, Mathematics, Operations Research, Industrial Engineering, Business Analytics, or related field plus 3 years of related experience.
Experience with analytics tools (e.g. R, Python, SQL) and data visualization software (e.g. Tableau, PowerBI);
Experience articulating ambiguous business questions and using quantitative modeling techniques to arrive at a solution;
Experience processing, filtering, validating, and presenting large quantities of data (Millions to Billions of rows);
Design, implement & generate sensitivity reports using linear programming and optimization models with Python & MS Excel;
Present technical demos and interpret complex analytical outputs into actionable, decision-ready insights for leadership teams;
Proficient in architecting complex business processes with Python-based pipelines for large-scale data processing and validation.
Up to 10% domestic travel to visit clients and team meetings.

Benefits

Comp & perks

To learn about Grainger’s benefits, please visit: https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire