Senior Manager Analytics

About Flipkart:

In 2007, we started the Flipkart journey by selling books online. But now, over a decade later, our story is quite different. Today, Flipkart is India’s largest online marketplace and one of India’s leading technology powerhouse that is disrupting the way India shops online. What has got us here? The dynamic, passionate and talented folks we call Flipsters!

Our core values define our identity and form the basis of our actions and reflect in everything that we do at Flipkart. Values enable us to shape the desired organizational culture in which each Flipster can thrive and be at their best.

We believe in taking bold bets and changing the paradigm, having a sense of urgency to solve problems strategically and putting great ideas into action. We look at the world from our customer’s point of view and keep customers at the heart of everything we do. We strive to do the right thing always and be committed to our customers and stakeholders.

About the team:

Flipkart is India’s largest eCommerce company and is defining eCommerce in the country. Flipkart’s vision is to make Analytics and Big Data part of its overarching competitive strategy, and push it up to decision makers at every level.

You will partner with business heads for Retail/Marketplace/Supply Chain/Marketing/Product to create enormous impact through the use of the latest analytical tools and techniques. At Flipkart, high focus on impact and ownership allows for freedom for each to experiment and innovate. The ability to see what your contribution does to the business is a rare experience, add to that the fact that the impact of it is felt by your friends and family in India - the experience is extremely gratifying.

About the role:

Senior Manager - Analytics is a people manager role where you will be leading a team of strong analysts responsible for driving data backed business decisions through deep analysis and insights/model generation.

You will be closely working with senior leaders across the organization to implement impactful data-driven decisions and cutting-edge solutions. You will identify and drive new opportunities for business through internal/ external data and innovative ideas.

As a people manager, you will act as a role model, setting high standards of work ethics and values and build strong and extremely effective analytical teams.

What you’ll do:

● You will identify, develop and deliver key analytics projects that will make a significant impact to the company and eCommerce in India.

● You will work closely with business leaders, product managers, subject matter experts to design and define performance metrics and goals

● You will work with different lines of business to problem solve, measure and track suitable metrics for efficiency and effectiveness

● You will drive actionable insights to final business impact through best-in-class analytical and modelling techniques. You will influence business decisions and roadmap.

● You will evangelize innovation, new solutions, and drive new ideas and events to find global solutions.

● Influence investment opportunities for business based on internal/ external data

What you’ll need:

● Educational/ Work ex:

○ Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute

○ 9+ Years of experience in a relevant role and 3 years or more in a Managerial role

● Required abilities / competencies:

○ Ability to link organization mission, vision, values and key results with team goals and strategies ○ Ability to build, lead and mentor strong analytical teams.

○ Ability to seamlessly manage work planning, prioritization, and execution in a dynamic environment.

○ Excellent problem solving skills with ability to think on scale and apply the right analytical/ statistical solve.

○ Excellent working knowledge and understanding of all key aspects of a typical business - product, marketing, operations and finance.

○ Has an executive presence to align and drive team agenda with leadership and broader stakeholders.

○ Strong organizational, communication, and story-boarding skills.

● Technical capabilities:

○ Strong background in statistical modelling and experience with machine learning / data mining tools such as R, Python, SQL, Spark, SAS, Excel. High expertise in implementing machine learning and AI models.

○ Good to have : working experience with BI tools (Power BI, Tableau, Qlikview, Datastudio, etc