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30/06 Harpreet
Talent Acquisition at Swiggy

Views:296 Applications:104 Rec. Actions:Recruiter Actions:0

Swiggy - Manager - Analytics (6-8 yrs)

Bangalore Job Code: 1118385

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 benefitsWhat 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 plusWhat 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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Women-friendly workplace:

Maternity and Paternity Benefits

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