Manager- Analytics View Jobs

Swiggy

Bengaluru, INonsitePosted Jun 29, 2026
Posting intelligenceActively listedReposted 3×, possible evergreen/ghost posting

Skills

classificationregressiontableaupythonexcel

About the role

Way of working: The employee needs to come to office.

Founded in 2014, Swiggy is India’s leading tech-driven on-demand delivery platform with a vision to elevate the quality of life for the urban consumer by offering unparalleled convenience. The platform is engineered to connect millions of consumers with hundreds of thousands of restaurants and stores across 500+ cities.

Our phenomenal growth has come on the back of great technology, incredible innovation and sound decision-making. The Analytics team at Swiggy partners with decision-makers to solve problems across our entire value chain. Improving menus for our restaurant partners, to developing incentives for delivery executives, recommending the best channel for marketing to consumers, and predicting demand in hyperlocal geographies are all examples of the repertoire of projects that we undertake. If decoding hyperlocal excites you then come join us on this journey.

What can you expect?

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, Business and Programmers

Flat organization structure with open and direct culture

Merit-based fast growth environment

Market leading compensation and benefits

What you need to have?

Bachelor/Master’s (preferred) degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field

6-8 years work experience in analytics/data science or related field

At least 3-4 years hands-on experience on data manipulation tools like SQL, R, SAS, Python, Excel etc.

Hands-on experience on BI Platforms like Power BI, Tableau etc.

Excellent knowledge of statistical measurement frameworks (measures of central tendency, dispersion, distribution, significance testing etc.)

Excellent knowledge of machine learning techniques for Regression, Classification etc.

What we expect from you?

Creative 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

Proven experience in managing cross-functional projects

Proven negotiation skills, influencing abilities

Experience in leading and mentoring teams is a plus

What will you work on?

Work with large, complex data sets to solve business problems, applying advanced analytical methods as needed

Monitor and forecast key business metrics on a regular basis

Conduct regular planning and reviews key performance metrics and aid in benefitting from change

Identify right metrics/measurement frameworks to track progress against a given business goal

Design, run and measure experiments to test business hypotheses

Expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms

Develop compelling stories with business insights, focusing on strategic goals of the organisation

Mentor junior team members in executing the above

Set high standards in project management and own the consistency and accuracy of project documentation, organized neatly in accordance with standards

Take responsibility for technical skill-building within the organization (training, process definition, research of new tools and techniques etc.)

Aid in defining roadmap/strategy for respective workstream in collaboration with manager and stakeholders

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