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 appWhat can you expect?Excellent work environment - rated amongst LinkedIn’s - “Top Companies Where India wants to work now” listExposure to challenging problems across multiple domainsAbility to directly implement solutions and see them in action; critical partner for all decision-making in the organisationInteract with people from various backgrounds - a mix of Statisticians, Consultants, Business and ProgrammersFlat organization structure with open and direct cultureMerit-based fast growth environmentMarket 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 field7-10 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 problemsFail fast, learn faster approachComfortable in a high-energy, fast-paced environmentProficient verbal and written communication skillsDetail-oriented with the ability to self-direct work in an unstructured environmentExcellent partnership and collaboration skills with the ability to work cross-functionallyGood organizational skills including prioritizing, scheduling, time management, and meeting deadlinesProven experience in managing cross-functional projectsProven negotiation skills, influencing abilitiesExperience 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 neededMonitor and forecast key business metrics on a regular basisConduct regular planning and reviews key performance metrics and aid in benefitting from changeIdentify right metrics/measurement frameworks to track progress against a given business goalDesign, run and measure experiments to test business hypothesesExpedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platformsDevelop compelling stories with business insights, focusing on strategic goals of the organisationMentor junior team members in executing the aboveSet high standards in project management and own the consistency and accuracy of project documentation, organized neatly in accordance with standardsTake 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