Business Analyst

  • Data and Analytics

Business Analyst

Job description

Zomato as an organization has grown and scaled multifold over the last few years. We are committed to bringing the best food to everyone; no matter who they are and what they can afford.


To know more about what’s cooking at Zomato, here is our Annual Report FY’19 and half-year financial report FY2020. Creating and re-inventing has been a key practice at Zomato and at this point, we require folks who can help us keep pace with the dynamic ecosystem we are all a part of. Check out how life at zomato looks like and our blog for all the latest updates.

Here's what you'll do day-to-day:

  • Work and lead (where assigned) with cross-functional projects using advanced data analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities
  • Develop and maintain a database, data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions
  • Manage and optimize processes for data intake, validation, mining and engineering.
  • Examine, interpret and communicate the results of analytical initiatives to relevant stakeholders. Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet the needs

Requirements

Who fits the bill?

  • People with 2-4 years of experience in monitoring, managing, manipulating and drawing insights. The right candidate should also be proficient and experienced with the following tools/programs:
    • Strong programming skills with querying languages like SQL, SAS, R with ability to perform effective querying involving multiple tables and subqueries
    • Experience with data visualization tools: Tableau, Raw, chart.js, etc
    • Experience with Excel, Word, and PowerPoint
  • Experience and knowledge of statistical modeling techniques:
    • GLM multiple regression
    • Logistic regression
    • Log-linear regression
    • Variable selection
  • Working knowledge of data mining principles: collecting and mapping data from multiple data systems on-premises and cloud-based data sources.
  •  Experience in using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units