- Develop, and implement data-driven applications and advanced analytical solutions that leverage predictive analytics, data mining techniques, machine learning, open source tools, orchestration tools, Python, R, Spark etc.
- Understanding of data science analytical tools (e.g. Hadoop, Spark, AWS, Azure, Jupyter Notebooks, Alteryx, etc.)
- Provide thought leadership and training on advanced analytic tools, systems, techniques and methodology - own the methodology used to support analytics within WFM.
- Translate complex analytical results into clear, concise and actionable insights to all levels within the organization.
- Collaborate with Merchandising Operations, Finance, Accounting, Marketing, HR, Tech (IT), Real Estate (site development) and Investor Relations on strategic use of data and analytics. Help fill gaps by solving analytical problems.
- Maintain a thorough understanding of WFM processes to effectively understand and analyze internal and external data.
- Drive the adoption of appropriate methodology and techniques to support analytics within WFM.
- Keep up-to-date with latest developments in Data Science which encompasses Predictive Analytics and Machine Learning.
- Performs other related duties as assigned.
- Master’s degree in Statistics, Mathematics, Computer Science, or related quantitative field and 6+ year’s relevant experience, or equivalent combination of education and experience.
- Proven ability to take complex business analyses and projects from concept to completion and make the results accessible and relevant to business users at all levels.
- Self-directed, innovative thinker with a strong attention to detail and commitment to consistently meeting timelines and operating from a sense of urgency.
- Strong understanding of mathematical and statistical concepts. Experience with utilizing advanced mathematical, statistical and data mining techniques to collect data, analyze and construct solutions for complex business problems.
- Hands-on experience analyzing large, complex data sets using R, Spark, Hadoop, Jupyter Notebooks, AWS, Python, Java, Scala or any other advanced analytical packages/tools/languages
- Comfortable with uncertainty: projects and assignments will change rapidly so must be flexible enough to accommodate changing priorities and timelines.
- Excellent organization and time management skills. Ability to multi-task as well as communicate and reset priorities amidst incoming ad hoc requests with short deadlines.
- Positive attitude, ability to work well under pressure and provide exceptional customer service.
- Comfortable in a decentralized structure where results are based on cooperation with and influence of others.
- Ability to work with partners who have a range of analytical skill sets.
- Ability to effectively present information and respond to questions in one-on-one and large group situations involving senior leadership and other teams in the organization.
- Highly skilled at communication (written, verbal and listening), relationship building, influence/negotiation and team building
- Work effectively with others on a team
- Ability to travel up to 10%.
- Ability to maintain confidentiality.
At Whole Foods Market, we provide a fair and equal employment opportunity for all Team Members and candidates regardless of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity/expression, age, marital status, disability, or any other legally protected characteristic. Whole Foods Market hires and promotes individuals solely based on qualifications for the position to be filled and business needs.