Data Analyst at JCPenney

Apply for the Data Analyst position at JCPenney Services India. Build high-impact retail intelligence dashboards, optimise merchandising pipelines, and run predictive AI/ML analytics using SQL, Python, and Power BI.

About the Company: JCPenney

JCPenney is one of America’s most iconic and enduring retail anchors, operating more than 650 department stores across the United States and Puerto Rico alongside a massive digital flagship platform. Driven by a singular, unifying mission—to proudly celebrate and serve diverse, working American families—JCPenney delivers style, quality, and exceptional value across apparel, home, and beauty lines.

This vital analytical vacancy is anchored within JCPenney Services India, the core international technology and operations hub. Operating out of its advanced corporate digital center, the Data Science & Analytics Department builds the enterprise-grade business intelligence engines, supply chain architectures, and predictive machine learning modules that power global inventory allocation, buying strategies, and merchandising decisions for the entire retail footprint.

About the Role: Data Analyst (Retail & Merchandising Intelligence)

Are you a data practitioner with a background in corporate retail networks, predictive demand modelling, and inventory tracking? JCPenney is hiring a full-time, permanent Data Analyst to join its digital analytics center of excellence. This high-impact position is designed for analytical problem solvers bringing a minimum of 2+ years of professional experience in retail, supply chain, or merchandising reporting.

As a Data Analyst at JCPenney, you will serve as the primary engine for inventory optimisation and commercial insights. Your daily responsibilities will center on translating raw retail logs into visual, executive-ready performance metrics. You will write robust SQL and Python extraction routines, manage multi-layered dashboard architectures across Power BI and Tableau, and leverage cutting-edge AI and Machine Learning tools to drive predictive analytics and automation. Partnering with Plano leaders, buyers, and cross-functional inventory managers, your insights will directly guide high-stakes planning and allocation strategies across hundreds of stores.

Key Responsibilities & Retail Analytics Workflows

• Retail Metric Solutioning: Collaborate with buyers, business analysts, and Plano leaders to map and fulfill complex business reporting requirements, providing deep-dive support for strategic inventory planning.

• Cross-Functional Allocation Support: Partner with corporate sales and supply chain squads to analyze historical sales data, identify seasonal buying patterns, and optimize product allocation models.

• Enterprise Dashboard Architecture: Develop, stress-test, and maintain high-fidelity reports and interactive visualization tools using Power BI, Tableau, and MicroStrategy to track retail KPIs.

• Data Extraction & Cleaning: Extract, sanitize, and manipulate messy raw datasets from distributed internal data structures, data warehouses, and Inventory Management Systems (such as JDA or PIM).

• Predictive AI/ML Modeling: Leverage advanced AI, machine learning algorithms, and statistical analysis methodologies to deploy predictive analytics, demand forecasting, and decision-support automation.

• Process Automation Engineering: Maximize organizational efficiency by engineering automated workflows using Power Automate and Power Apps to eliminate manual data collection.

• Ad-Hoc Strategic Analysis: Lead department-level special projects, handling not just standard data aggregation but running structural root-cause analysis and operational execution tasks under strict retail deadlines.

Candidate Prerequisites & Key Technical Skills

Successful candidates must combine a strong command of relational programming with a sharp commercial understanding of supply chain velocity and merchandising structures.

Required Experience & Educational Baseline:

• Professional Tenure: Minimum 2+ years of dedicated professional experience in retail reporting, merchandising analysis, or supply chain analytics frameworks.

• Academic Foundation: Graduation in a quantitative field like Computer Science, Data Science, Statistics, Engineering, or a business-related discipline (UG: Any Graduate / PG: Any Postgraduate).

• Core Querying & Scripting Stack: Deep, practical programming proficiency using SQL and Python to extract, manipulate, and restructure massive, unorganised datasets.

• Advanced Spreadsheet Foundations: Complete mastery of Advanced Excel—including VBA scripting, Power Query data feeds, and Power Pivots.

• Data Presentation Suite: Hands-on development expertise across enterprise visualisation platforms, specifically Power BI, Tableau, or MicroStrategy.

Preferred Qualifications & Strategic Competencies:

• Advanced Retail Technology: Experience working with specialised retail, catalogue, or warehouse software systems, such as JDA, PIM, or Datameer.

• AI/ML Practice: Practical exposure utilising machine learning tools, building automated classification/forecasting algorithms, or running statistical regressions.

• Low-Code Automation: Working knowledge of the Microsoft Power Platform, particularly Power Automate and Power Apps, to streamline repeating tasks.

• Soft Skills Alignment: Outstanding verbal and written communication traits, with a natural ability to translate dense data matrices into clear presentations for corporate stakeholders.

Core Position Specifications

• Position Title: Data Analyst

• Hiring Organisation: JCPenney Services India

• Corporate Work Location: Major Corporate Digital Center, India

• Experience Allotment: 2+ Years of specialised retail industry background

• Employment Framework: Full-Time, Permanent corporate assignment

• Functional Focus: Retail Business Intelligence, Merchandising Analytics, and Predictive Modelling

• Industry Placement: Retail / Supply Chain / E-Commerce Operations

• Functional Department: Data Science & Analytics