Pricing Analyst

Job Description

ABOUT ADVANCE AUTO PARTS

Founded in Roanoke, VA in 1932, Advance Auto Parts is a leading automotive aftermarket retail parts provider that serves both professional installer and do-it-yourself Customers. As of July 13, 2019, Advance operated 4,912 stores and 150 Worldpac branches in the United States, Canada, Puerto Rico, and the U.S. Virgin Islands. The Company also serves 1,250 independently owned CARQUEST branded stores across these locations in addition to Mexico, the Bahamas, Turks, and Caicos and the British Virgin Islands. The company has a workforce of over 70,000 knowledgeable and experienced Team Members who are proud to provide outstanding service to their Customers, Communities, and each other every day.

ABOUT AAP GLOBAL CAPABILITY CENTER

We are continually innovating and seeking to elevate the Customer experience at each of our stores. For an organization of our size and reach, today, it has become more critical than ever, to identify synergies and build shared capabilities. The AAP Global Capability Center, located in Hyderabad, is a step in this strategic direction that enables us to access a larger talent pool, unlock operational efficiencies and increase levels of collaboration.

ABOUT PRICING TEAM

The Pricing team is growing its presence in India to help expand our technical, brand, and analytical capabilities across the enterprise. This is a fantastic opportunity to join a team of highly specialized and focused individuals dedicated to driving our brand marketing and eCommerce outcomes in a collaborative environment.

Join the Pricing team and start reimagining the future of automotive retail. Disrupt the way consumers buy Auto Parts and join a fast-growing eCommerce team to take on the industry’s biggest challenges.

The focus here is on our customers -- how we make them happy, earn their trust, and create loyalty. We want to expand our best in class data science capability to predict consumer behavior and ensure we are getting the right return on our investments. Ultimately, the Pricing team is responsible for rapidly developing and deploying solutions that will drive the customer experience and, ultimately, enhance our bottom line as an organization.

Job Description

 Looking for a Data Scientist with strong problem-solving skills and knowledge in Math, Statistics, and data science to join our Pricing Analytics CoE team. Applicants should have strong fundamental understanding and experience in Data Wrangling, Statistical Analysis, Predictive Modeling using Machine Learning (Regression and Classification), Cluster & Segmentation, Time Series Forecasting (ARIMA, SARIMAX) etc. with advanced level proficiency in programming language of Python and SQL

Roles and Responsibilities

 · As a self-starter, understand the Business dynamics and identify potential business problems that can be solved through Analysis and Advanced methodologies

· Involve in discussions with stakeholders to develop the data science use cases in retail, pricing and promotions that would impact the strategic pricing decisions.

· Apply statistical techniques to test various hypotheses, develop predictive models using data science

 · Apply business knowledge for the Interpretation of test results and present the actionable insights to stakeholders for strategic pricing decisions.

· For identified use cases, develop proof of concepts and then scale the solutions for larger consumption of the outcomes by all the stakeholders.

· Identify potential data-driven solutions to improve customer and channel experience through personalization and predicting or influencing consumer behavior prediction (eg : next purchase, attrition, spend and ROI optimization etc.)

· Forecasting of demand drivers using Structural Time Series and Naïve Bayes approach

 · Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information for promotional strategies

· Cross-collaborate with data science practices and leverage learnings

Requirements

Candidates should have:

· BE/BTEch or Masters in Mathematics/Computer Science, MBA from a reputed institution with good academic record.

· 2-4 years of hands on experience in business consulting and advance analytics

 · Must be strong in Python/R, SQL, and exposure to Machine Learning techniques is desirable

· Exposure to cloud technologies (e.g. AWS, Bitbucket), visualization tools (e.g. PowerBI) will be desirable

· Excellent understanding of complex system architecture, components and requirements · Knowledge in supervised and unsupervised is a must

· Experience in Retail/Auto/Finance/Auto industry will be added advantage.

· Strong applied knowledge of machine learning covering the landscape of classification, regression and with in-depth interpretation of outcomes.

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