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NuvoRetail is hiring for a Data Analyst Intern


Position:

  • Title: Data Analyst Intern

Company:

  • Name: NuvoRetail

Location:

  • Address: Sector 19, Dwarka, Delhi, India

Job Type:

  • Employment Status: Full-time
  • Duration: 6-month Internship

Job Mode:

  • Work Environment: On-site

Job Requisition ID:

  • ID: NA

Years of Experience:

  • Experience Required: Internship (Freshers welcome)

Company Description:

  • About NuvoRetail:
    • NuvoRetail Enlytical Technologies Private Limited specializes in e-commerce analytics and automation.
    • Our flagship platform, Enlytical.ai, offers digital shelf analytics and automation to help e-commerce brands navigate the complexities of the e-commerce landscape.
    • The platform provides a comprehensive business view on various e-commerce aspects, leveraging insights from multiple data points for sharper decision-making.
    • Key features include digital product portfolio analysis, supply chain analytics, e-commerce operations automation, pricing and competitor benchmarking, and Amazon advertising automation.
    • We offer end-to-end e-commerce solutions, from strategy development to increasing online sales.
    • Our services encompass content and digital asset creation, on and off-platform marketing, Amazon Marketing Services (AMS), Amazon SEO, e-commerce operations across various platforms, website development, social media marketing, and AI-enabled e-commerce MIS dashboards.
    • Recognized as "The Most Promising Ecommerce Technology Service Providers in India 2020" by CIOReviewIndia Magazine.
    • Leadership acknowledged by global e-commerce services, digital marketing, and consulting programs.
    • Among the few companies in India to become an Amazon Ads Advanced partner.

Profile Overview:

  • Job Summary:
    • Responsible for basic web crawling, API calls, and data manipulation using Python.
    • Maintain and manage the current database, ensuring data integrity.
    • Perform statistical and qualitative data analysis to discover useful business insights.
    • Create reports with business insights generated during data analysis.
    • Requires robust data mining and analytical abilities, a flair for number crunching, and strong interpersonal skills.
  • Skills Required:
    • Proficient in Python programming language.
    • Fundamental understanding of basic statistics.
    • Ability to design, implement, and maintain cloud and on-premises data pipelines.
    • Work with large, complex data sets, conducting end-to-end data analysis.
    • Familiarity with tools like Selenium, BeautifulSoup, Playwright, Pandas, Requests, LXML, JSON parsing, and MySQL.
    • Preferred familiarity with the Linux environment.
    • Must be a fast learner, self-starter, and adaptable to change.

Qualifications:

  • Required Skills:
    • Strong command of Python.
    • Fundamental understanding of statistics.
    • Experience with cloud and on-premises data pipelines.
    • Ability to handle large, complex data sets.
    • Familiarity with Selenium, BeautifulSoup, Playwright, Pandas, Requests, LXML, JSON, MySQL.
    • Preferred experience with Linux.
    • Fast learner and self-starter.
    • Flexible, adaptable, and able to multitask.
  • Educational Background:
    • Relevant coursework in data science, statistics, or a related field.
    • Hands-on experience with data manipulation and analysis.

Additional Info:

  • Internship Details:
    • Duration: 6 months.
    • Initial stipend: Rs. 15000/- per month.
    • Potential for a permanent role based on performance.
  • Work Location:
    • On-site position in Sector 19, Dwarka, Delhi.
  • Company Culture:
    • Emphasizes continuous learning and professional development.
    • Encourages creativity and innovative problem-solving.
    • Strong focus on teamwork and collaboration.
  • Awards & Recognition:
    • Featured as "The Most Promising Ecommerce Technology Service Providers in India 2020" by CIOReviewIndia Magazine.
    • Recognized leadership in global e-commerce services and digital marketing programs.
    • Amazon Ads Advanced partner status.

Please click here to apply.

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