Ecommerce Data Analyst (Market Research & Web Scraping ) Job in Glan Management Consultancy at Gurgaon

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Position Overview

Key Responsibilities

Data Analysis & Interpretation

• Analyze large datasets to identify trends, patterns, and insights related to market trends and competitor performance.
• Conduct quantitative and qualitative analyses to support decision-making in product development and strategy.
• Develop dashboards, reports, and visualizations that summarize key insights for stakeholders.
  

Market Research

• Perform in-depth market research to track competitor performance, emerging trends, and customer preferences.
• Use data-driven approaches to identify potential market opportunities and risks.
• Compile and present findings on market share, pricing strategies, and customer reviews of competing products.
  

Data Scraping & Automation

• Design and implement data scraping solutions to gather competitor data from websites, including best-seller lists, product reviews, and pricing information.
• Ensure data extraction processes comply with legal standards and respect website terms of service.
• Maintain and update scraping scripts to adjust for changing website structures and ensure the continued relevance of data.
  

Database Management & Data Cleaning

• Create and maintain organized databases with market and competitor data for easy access and retrieval.
• Perform data cleaning, transformation, and enrichment to ensure accuracy and consistency in datasets.
  

Collaboration & Communication

• Work closely with cross-functional teams, including marketing, product development, and sales, to align data insights with company objectives.
• Communicate findings clearly through reports, presentations, and visualizations that drive strategic decisions.
  

Experience:

• Proven experience with data scraping tools such as BeautifulSoup, Scrapy, or Selenium.
• Familiarity with web analytics and SEO tools, such as Google Analytics or SEMrush, is a plus.
  

Technical Skills:

• Proficiency in SQL, Python, or R for data analysis and data manipulation.
• Experience with data visualization tools like Tableau, Power BI, or D3.js.
• Familiarity with data extraction libraries (e.g., Beautiful Soup, Scrapy) and knowledge of APIs for web scraping.
  

Analytical Skills:

• Strong ability to interpret data, draw insights, and make strategic recommendations.
• Knowledge of statistical analysis techniques to support data-driven insights.
  

Preferred Skills

• Experience with e-commerce data analysis and knowledge of retail or consumer behaviour analytics.
• Familiarity with machine learning techniques for data classification, clustering, and prediction (preferred but not required).
• Understanding of ethical data scraping practices and data privacy laws.
  

Application Process

Mail Updated Resume With Current Salary To

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