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Analyst Data Science - Petco

Petco


Location:
San Diego, California
Date:
09/13/2017
2017-09-132017-11-12
Categories:
  • Data Analytics
  • Data Scientist
  • Statistician
  • Business Intelligence
  • Marketing
Petco
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Job Details

Our vision at Petco is Healthier Pets. Happier People. Better World. We’re making things better for pets, people and the planet through our Think Adoption First philosophy, the Petco Foundation and other important initiatives that focus on putting animals first, educating pet parents and reducing our carbon footprint. The journey starts with knowledgeable, passionately engaged associates who are proud to recommend Petco as a place to work, who believe in our Vision and who are committed to delivering a superior customer experience.

 

From our retail stores and our network of Distribution Centers to our Corporate offices, you'll work with others who share your values and commitment. We seek individuals who are passionate about animal welfare, have great people skills and are driven to grow and advance in their careers with us. Our ongoing growth is creating exceptional opportunities for professional development and personal enrichment throughout our organization.

 

Position Purpose

The Customer & Market Intelligence (CMI) team is responsible for leveraging strategic insights, advanced analytics, data science, and market research to understand customer behavior trends, product relationships, competitive price position, and marketing opportunities in order to maximize financial performance and deliver an exceptional customer experience. Within the team, you leverage advanced analytical techniques, and translates complex methodologies and analysis into clear insights, compelling visualizations, and tangible actions that can be executed by the business. Along with senior level colleagues, you contribute to formulating a coherent business strategy.

 

Essential Job Functions

The incumbent must be able to perform all of the following duties and responsibilities with or without a reasonable accommodation.

 

  • Leverage advanced analytical techniques and programming languages to mine through massive data sets and isolate patterns in customer purchase behavior, store performance, and competitive pricing schemes (predictive modeling, clustering, design of experiments, etc).
  • Work with other team members to influence strategic decisions and create accurate financial forecasts based on deep customer behavior analyses with tangible recommendations to optimize customer acquisition, retention, and lifetime value.
  • Utilize exceptional communication skills to present findings across the business by effectively translating complex data and analysis into clear insights, opportunities, and tangible business recommendations;
  • Develop reports, dashboards and build compelling data visualizations that effectively measure, track, and quantify changes in customer behavior and spend patterns.
  • Contribute to complex long-term projects from initial scoping through full execution and training with inputs from a variety of cross-functional teams (IT, Merchandising, Marketing).
  • Collaborate with data science team as an expert on the business by providing direction on how to best leverage advanced modeling techniques and machine learning algorithms to achieve strategic objectives and business goals.
  • Display deep intellectual curiosity, creativity, and commitment to learning in order to solve critical business problems and push the boundary of our capabilities.

     

Supervisory Responsibility

No direct reports. Incumbent will collaborate on cross-functional business projects.

 

Work Environment

The majority of job duties are conducted while seated indoors at a computer terminal with little or no exposure to hazards. Occasional travel may be required for presentations, training, and conventions.

Requirements

Education/Experience

Bachelor’s degree in economics, statistics, math or related business field; Master’s preferred

Minimum of 1 years of experience in analytics or statistics capacity, 2 years ideal

Experience with statistical programming languages required (R a must, Python, SAS)

Experience building large data sets across disparate sources required (SQL, Hive, Hadoop)

Desire to learn new analytic and data manipulation techniques to become an ‘local expert’

Advanced Presentation Skills Required (PowerPoint, Adobe Photoshop/Illustrator, R Packages)

Experience with pricing, merchandising, marketing and the retail industry strongly preferred

Ability to think conceptually and creatively about problems and solutions

Strong interpersonal communication skills, verbal and written, required due to the nature and level of interaction with senior management

Demonstrated ability to prioritize workload and ability to manage multiple projects while meeting deadlines

 

Primary Location

United States-California-SAN DIEGO-10850 Via Frontera - NSC Building 1 (0016)

 

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