Data Analyst - Mumbai, India - Rebel Foods

    Rebel Foods
    Default job background
    Restaurants / Food Service
    Description

    About Us:

    We are surrounded by the world's leading consumer companies led by technology - Amazon for retail, Airbnb for hospitality, Uber for mobility, Netflix and Spotify for entertainment, etc. Food & Beverage is the only consumer sector where large players are still traditional restaurant companies. At Rebel Foods, we are challenging this status quo as we are building the world's most valuable restaurant company on the internet, superfast.

    The opportunity for us is immense due to the exponential growth in the food delivery business worldwide which has helped us build 'The World's Largest Internet Restaurant Company' in the last few years. Rebel Foods' current presence in 3 countries (India, MENA, and UK) with 15 + brands and 3500+ internet restaurants has been built on a simple system - The Rebel Operating Model.

    While for us it is still Day 1, we know we are in the middle of a revolution towards creating never-seen-before customer-first experiences. We bring you a once-in-a-lifetime opportunity to disrupt the 500-year-old industry with technology at its core.

    The Rebel Culture

    Finally, but most importantly, Rebel is not a usual workplace. The following slides will give you a sense of our culture, how Rebel conducts itself and who will fit into the company. Please go through it before you make up your mind. It's not everyone's cup of tea.

    The Role:

    • Understanding Business and Data Requirements from stakeholders
    • Creating Business Reports
    • Report Automation
    • Creating Dashboards/Visualizations for Business KPIs
    • Data Mining for Business Insights
    • Initiatives based on business needs and requirements
    • Evaluating business processes, uncovering areas of improvement, optimizing strategies and implementing solutions
    • Problem-solving skills

    Requirements:

    • Acquire, aggregate, restructure, and analyze large datasets.
    • Ability to work with various SQL and No-SQL data sources, S3, APIs etc.
    • Data manipulation experience with Python/Pandas
    • Exhibit strong analytic, technical, trouble-shooting, and problem-solving skills
    • Ability to work in a team-oriented, fast-paced environment managing multiple
    • priorities
    • Project management and organizational skills
    • Good to know: predictive modelling

    Languages - SQL, Python (Pandas)

    BI Tools - Tableau/Power BI/Quicksight

    Unique Opportunity

    • Get a chance to work on interesting Data Scientists/Machine Learning problems in the areas of Computer Vision, Natural Language Processing, Time-Series Forecasting, etc.
    • Get a chance to work on Deep Analytics systems built on large amounts of multi-source data using advanced Data Engineering techniques.