About Advance Auto Parts

Advance Auto Parts, Inc. is a leading automotive aftermarket parts provider that serves both professional installer and do-it-yourself customers. As of October 5, 2019, Advance operated 5,000 stores and 152 Worldpac branches in the United States, Canada, Puerto Rico and the U.S. Virgin Islands. The Company also serves 1,260 independently owned Carquest branded stores across these locations in addition to Mexico, the Bahamas, Turks and Caicos and British Virgin Islands. The Advance Global Capability Center (GCC) in Hyderabad, India, opened in 2019. It is a key enabler and hub of innovation for the company, a place where talented Team Members provide support to our North American-based teams across a variety of functions to deliver on our Mission: Passion for Customers Passion for Yes!

Job Description

Job Duties & Responsibilities

Aggregate data from various sources, manipulate and analyze them at scale, support strategic and tactical initiatives

Extract and transform data and join datasets from different sources (AWS S3, MSSQL Server, Snowflake, EDW, Google Analytics, etc.) and with different formats (xlsx, csv, .json, etc)

Process, cleanse, and verify data-integrity for analysis. Analyze data for errors and inconsistencies

Identify, analyze, and interpret trends or patterns in complex data sets, comprising of both structured and unstructured data, using statistical techniques and advanced analytics .

Very Strong hands on experience in Machine Learning Algorithms.

Successful implementation and deployment of at-least 3 full scale Data Science Project.

Successfully lead a team of Data Scientist for end to end implementation.

Strong Hands on experience on technologies like R, Python, SQL Server, Machine Learning, Neural Networks and NLP

Strong communication and story-telling skills.

Qualifications

Bachelors Degree in related field or equivalent experience

8+ experience managing large data sets and analyzing data for actionable insights.

Experience taking transactional business data, analyzing that data to answer a core research question and using analytics tools and systems to present the findings and insights

Experience querying/joining databases and using statistical computer languages: R, Python, SQL, SPSS, etc.

Proficiency in presentation (PowerBI or PowerPoint)

Experience with data mining and data cleaning, including JSON data formats

Knowledgeable in Agile software development and DevOps methodologies. Familarity with version control tools (Github, Bitbucket, etc) & JIRA is a plus

Has strong presentation and collaboration skills and can communicate all aspects of the job requirements, including the creation of formal documentation

Independent. Strong critical thinking, decision making, troubleshooting and problem-solving skills.

Go-Getter. Possesses strong, planning, execution and multitasking skills and demonstrated ability to reprioritize accordingly. Must be able to manage quickly changing priorities while meeting deadlines