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

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

Data Analyst

Key skills