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Warehouse Data Analyst Job Description

Created On: July 16th, 2024 at 02:39 PM

Warehouse Data Analyst Job Description

Warehouse Data Analyst Job Description

Glossary

  • KPI (Key Performance Indicator): A measurable value that demonstrates how effectively an organization is achieving key business objectives.
  • ETL (Extract, Transform, Load): A process in data warehousing responsible for pulling data out of source systems and placing it into a data warehouse.
  • BI (Business Intelligence): Technologies, applications, and practices for the collection, integration, analysis, and presentation of business information.
  • SWOT Analysis: A strategic planning technique used to identify strengths, weaknesses, opportunities, and threats.
  • SKU (Stock Keeping Unit): A unique identifier for each distinct product and service that can be purchased.

Introduction

A Warehouse Data Analyst is responsible for collecting, analyzing, and reporting on warehouse data to provide business insights and improve warehouse operations continuously. This role involves tracking and monitoring key performance indicators (KPIs), conducting technical tool analysis, and ensuring data integrity and quality control.

Personal Attributes

  • Analytical Skills: Ability to analyze and interpret complex data sets.
  • Detail-Oriented: Strong attention to detail in data collection and analysis.
  • Problem-Solving Skills: Ability to identify issues and develop effective solutions.
  • Collaborative Skills: Ability to work with various stakeholders to achieve common goals.
  • Communication Skills: Ability to present data and insights clearly to non-technical stakeholders.

Applicable National Occupational Standards (NOS)

  • LSC/N0509: Data Collection and Analysis for Warehouse
  • LSC/N0510: Performance Monitoring and Tracking Key KPIs
  • LSC/N0511: Technical Tool Analysis
  • LSC/N0512: Reporting, Visualization and BI
  • LSC/N0513: Data Modelling and Forecasting
  • LSC/N0514: Data Integrity and Quality Control
  • LSC/N9911: Follow health, safety, security procedures and maintain integrity, ethics at workplace
  • DGT/VSQ/N0103: Employability Skills (90 Hours)

Qualification Pack (QP) Parameters

  • Sector: Logistics
  • Sub-Sector: Warehousing (Storage & Packaging)
  • Occupation: Technology
  • Country: India
  • NSQF Level: 6
  • Credits: 21
  • Aligned to NCO/ISCO/ISIC Code: NCO-2015/2511
  • Minimum Educational Qualification & Experience: MBA (Operations Management) OR B.E./B.Tech with 1 Year of experience in warehouse operations OR Completed 3-year UG degree with 5 Years of experience in warehouse operations OR Pursuing PG diploma after 3-year UG degree.
  • Minimum Job Entry Age: 23 Years

Key Responsibilities

Data Collection and Analysis for Warehouse (LSC/N0509)

  • Data Collection: Collect data from various sources within and outside the warehouse, including information on warehouse layout, inventory, and orders.
  • Data Validation: Process data to validate record counts against physical counts and check for duplicates.
  • Data Organization: Organize data in separate files/folders and analyze it to ensure accuracy.

Performance Monitoring and Tracking Key KPIs (LSC/N0510)

  • KPI Establishment: Collaborate with stakeholders to define and establish relevant KPIs.
  • KPI Monitoring: Track KPIs regularly and identify areas for improvement.
  • Inventory Monitoring: Calculate and prepare inventory levels, monitor receiving operations, and track order fulfillment.

Technical Tool Analysis (LSC/N0511)

  • Tool Research: Identify and evaluate data analytics, warehousing, and management tools.
  • Tool Selection: Assess tools for scalability, performance, and integration capabilities.
  • Tool Implementation: Conduct proof of concept projects and coordinate training sessions for data team.

Reporting, Visualization, and BI (LSC/N0512)

  • Report Development: Design and develop reports, dashboards, and visual representations of data.
  • User Testing: Perform unit tests and user acceptance tests for reports and dashboards.
  • Deployment: Deploy reports for business end users.

Data Modelling and Forecasting (LSC/N0513)

  • Demand Forecasting: Gather historical sales data, clean and preprocess it, and use forecasting methods to predict future inventory needs.
  • Demand Pattern Analysis: Identify seasonal demand patterns and optimize stock levels.

Data Integrity and Quality Control (LSC/N0514)

  • Data Validation: Implement validation rules and standardize data across different sources.
  • Data Quality Control: Regularly clean data, generate quality reports, and provide training on data entry best practices.

Skills and Knowledge

Technical Skills

  • Data Analysis: Proficiency in data collection, validation, and analysis techniques.
  • Software Proficiency: Knowledge of data analytics and warehousing tools.
  • Forecasting Techniques: Understanding of demand forecasting methods.

Soft Skills

  • Communication: Ability to convey data insights to non-technical stakeholders.
  • Time Management: Prioritize tasks and meet deadlines.
  • Analytical Thinking: Draw inferences and conclusions from data trends.

Safety and Compliance

  • Regulations Knowledge: Understanding of safety and compliance requirements.
  • PPE Usage: Proper use of personal protective equipment.
  • Ethical Practice: Maintain integrity and ethical standards in operations.

Assessment Criteria

  • Preparation and Planning: Plan and prepare for data collection and analysis tasks.
  • Execution and Documentation: Perform tasks accurately, document processes, and report issues.

FAQs

What is a Warehouse Data Analyst? A Warehouse Data Analyst is responsible for collecting, analyzing, and reporting on warehouse data to provide business insights and improve warehouse operations continuously.

What are the main responsibilities of a Warehouse Data Analyst? Key responsibilities include data collection and analysis, performance monitoring, technical tool analysis, reporting, data modeling, and quality control.

What qualifications are required for this job? The minimum educational qualification is an MBA in Operations Management or similar qualifications with relevant experience.

What technical skills are required for a Warehouse Data Analyst? Technical skills include proficiency in data analysis, knowledge of data analytics tools, and understanding of forecasting techniques.

What safety and compliance knowledge is required? Knowledge of safety regulations, proper use of PPE, and adherence to ethical standards and company protocols.

 

*As per government guidelines, this data may vary as it is a sample.