Economics, Finance, Mathematics, Statistics Graduates Vacancy at Swiggy

Overview:

Swiggy is hiring an experienced Associate Business Analyst at their Bangalore location. You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness.

The complete details of this job are as follows:

Roles and Responsibilities:

The Ideal Candidate should be able to:

• Excellent work environment – rated amongst  LinkedIn’s – “Top Companies Where India wants to work now” list.
• Exposure to challenging problems across multiple domains.
• Ability to directly implement solutions and see them in action; critical partner for all decision-making in the organisation.
• Interact with people from various backgrounds – a mix of Statisticians, Consultants, and Programmers.
• Flat organization structure with open and direct culture.
• Merit-based fast-growth environment.
• Market-leading compensation and benefits.

What do you need to have?

• Bachelor’s degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field.
• 0-1yrs of experience/internship/training in analytics/data science or related field.
• Hands-on experience on data manipulation tools like SQL & Excel.
• Exposure to any of the BI Platforms like Power BI, Tableau etc.

What do we expect from you?

• Creative and first principle thinking to solve real-world problems.
• Fail fast, learn faster approach.
• Comfortable in a high-energy, fast-paced environment.
• Proficient verbal and written communication skills.
• Detail-oriented with the ability to self-direct work in an unstructured environment.
• Excellent partnership and collaboration skills with the ability to work cross-functionally.
• Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines.

What will you work on?

• Work with large, complex data sets to generate reports on business performance, feature adoption and impact assessment.
• Monitor the key business metrics via different analytical tools.
• Identify the right metrics to track progress against a given business goal.
• Assist non-technical stakeholders with data literacy.
• Design, run and measure experiments to test business hypotheses.
• Expedite root cause analyses/insight generation against a given recurring use case through automation.

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