Swiggy | Manager

3 weeks ago

Bengaluru, India Swiggy Full time
Way of working: The employee needs to come down to the office once a quarter for a week.
About Swiggy
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 organization
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.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.

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