Data Analyst

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About Delnie

Delnie

intelligent, design-led, and data-driven products

Our ecosystem operates through two powerful divisions:

Delnie Innovation Labs

Delnie Consultancy Services (DCS)

🌐 www.delnie.com

About FavHiker

FavHiker

first social food discovery platform

26,000+ users from 800 cities

🌐 www.favhiker.com

The Role: Data Analyst

Data Analyst

verify, clean, and organize data

engineering and product teams

What You’ll Do

  • Verify, clean, and maintain all

    restaurant and customer datasets

    .
  • Organize and standardize data from multiple sources, including

    Logic Online

    .
  • Structure and manage data efficiently using

    MongoDB

    .
  • Identify and correct errors, duplicates, and missing information.
  • Assist in improving data flow and quality for better analytics and recommendations.
  • Collaborate with engineers to enhance data models and processing pipelines.
  • Build reports or dashboards to track data health and performance trends.

What You’ll Bring

  • Experience in

    data analysis, data management, or data integration

    .
  • Strong knowledge of

    NoSQL databases

    such as

    MongoDB

    .
  • Solid understanding of

    data cleaning, mapping, and validation workflows

    .
  • Familiarity with Python or Node.js for automation is a must.

  • Strong analytical and problem-solving mindset.

  • Excellent attention to detail and ability to identify inconsistencies in large datasets.

  • Passion for turning unstructured data into reliable insights.

Why You’ll Love Working With Us

  • Be part of

    Delnie Innovation Labs

    , where creativity meets data-driven impact.
  • Work on a platform trusted by

    26,000+ users across 800 cities

    .
  • Collaborate with a high-energy team of founders, engineers, and analysts.
  • Freedom to innovate, automate, and improve workflows.
  • Directly influence how FavHiker’s data powers recommendations and user experiences.

Join us and help build the foundation of India’s most intelligent food discovery ecosystem.

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