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17/09 Divya Talwar
HR Recruiter at Flipkart

Views:330 Applications:74 Rec. Actions:Recruiter Actions:5

Flipkart - Lead - Analytics (7-12 yrs)

Bangalore Job Code: 979709

Analytics Lead - Bangalore

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:

Contact Centers within e-Commerce industry across regions in India are in emerging phase and is dynamic. With the growing scope of activities and multiplicity of business and departments involved there is a need to transfer best practices that improve productivity, service efficiency, performance management and analytics through business intelligence in C-Ops vertical of Flipkart. With the intent of ensuring that with standardized best in class Contact Centre Performance Management and Analytics and Business Intelligence, a team member with the relevant experience and expertise is required.

What you'll do:

- You will work closely with internal Flipkart Teams to identify, define, collect, and track key business metrics for products or business process.

- Work with the stakeholders to take data driven decisions.

- Contribute to the design, implementation, support and ongoing enhancement of our data warehouse and data mart environments.

- Design processes to test, measure and ensure data quality

- Define and implement technical requirements and data architectures for the data warehouse;

- Motivate and develop team members to meet business objectives

- Own the exploratory data analysis of metrics and assist the CX stakeholders in building analytical views in PowerBi, provide RCAs, prepare storyboards, perform statistical validations for various hypotheses, mine text data etc.

- Own the design and development of projects that involve predictive analytics and assist the CX stakeholders in delivering the driver models for the metrics, improvement in forecasting models, application of machine learning algorithms for solving business problems.

- Create robust team environment where skills and knowledge openly shared to achieve team and business goals

- Knowledge and experience shared with team members, providing assistance on any issue

- Troubleshooting and debugging of various BI tools to support various Contact Centre performance management and analytics and other Business needs.

What you'll need:

- Bachelor's degree in IT or related major preferred

- 8+ years BI & Analytics experience

- Strong knowledge of Microsoft BI technology (SSRS, SSIS, SSAS, Power BI)

- Experience building ETL processes for data warehouse and reporting platforms

- Experience building OLAP multi-dimensional and tabular cubes using MDX/DAX

- Solid understanding of relational database theory, principles and best practices

- Strong statistical & machine learning programming skills using R and Python (Mandatory)

- Expert level data manipulation skills using libraries like dplyr(R), pandas(python) (Mandatory)

- Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries (Mandatory)

- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units (Mandatory)

- Good understanding and practical application of Machine Learning concepts like Regression (Linear, Logistic, Regularization), Classification using Supervised as well as Unsupervised Learning (K-Means, KNN, SVM, Decision Trees, Random Forests, Naive Bayes) (Mandatory)

- Exposure to Natural Language Processing techniques for Sentiment Analysis, Text Classification, Comment Analysis (Preferred)

- Exposure to Time Series Modelling techniques like ARIMA, ARIMAX, Prophet (Preferred)

- Must be a self-starter who requires minimal supervision, with excellent problem-solving skills

- Cloud experience a plus

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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