Senior Manager Analytics

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

About the Team :-

Swiggy Dineout is building India's largest dining out platform that processes more than 100M diners for its partner restaurants across its network for 21000 restaurants in 34 cities and growing. We are striving to augment our consumer promise of enabling unparalleled convenience by helping diners explore restaurants across all categories - from QSRs, cafes, casual dining, premium, fine dining and more and offer the widest range of offers on restaurant bills through easy payments on the app. We are on a mission to change the way India dines out. If you are a foodie and equally passionate to redefine the experience of dining out, join our team to be a part of the Swiggy ride!

Dineout is present in 34 cities across India and we have partnerships with more than 21,000 restaurant partners where users can save up to 40% on their dining bills when they pay their restaurant bills using the dine out feature on the Swiggy app

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
• 7-10 years work experience in analytics/data science or related field with experince of managing a team.
• At least 5-8 years hands-on experience in consumer insights and 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