Vans: Be a Part of the Original

“It was never about waving the brand like a flag, it was always about the people” – Paul Van Doren

Vans is the original action sports footwear company, rooted in authenticity and creativity. Founded in 1966, Vans has thrived on a legacy of impacting our greater community through four pillars: action sports, music, art and street culture. We are constantly inspired by the expressive creators within our company and community as they bring new and innovative perspectives to help shape and transform the future of our business.

At Vans, our culture sets us apart and influences everything we do. We are driven by five values:

1. We are determined.
2. We are connected to our consumers and to each other.
3. We are inclusive.
4. We are expressive and fun.
5. And most of all, we are a family.

Vans is a subsidiary of VF, one of the world’s largest apparel and footwear companies with socially and environmentally responsible operations spanning numerous geographies, product categories and distribution channels. As we continue to expand, VF and Vans take great measures in developing and growing our people.

Vans is founded on a culture of learning. We take pride in our ability to facilitate learning opportunities by providing the resources and tools necessary to support each individual’s pursuit of growth to achieve future goals driven by our brand purpose.

Our purpose to enable creative expression and inspire youth culture is fostered through our inclusivity. We welcome anyone and everyone into our global family and proudly celebrate an environment where individuality is embraced, equal opportunities thrive, and everyone is empowered to reach their greatest potential

By joining the Vans family, you will be immersed in an environment of incredibly supportive and collaborative people. We work very hard across a multitude of large initiatives to bring the Van Doren spirit to life. We live for what we do.

Associate Data Scientist, Consumer Lifecycle Management: Become the Newest Member of the Vans Family

The Consumer Lifecycle Management department at Vans consists of two groups:

1.  Loyalty: This team manages the “Vans Family” loyalty program. The program empowers us to better understand our consumers and in turn enables us to deliver more personalized brand experiences.
2.  Analytics: By tapping into consumer data from all transactional and experiential brand touch points, this team creates consumer knowledge and provides relevant and actionable insights to the organization.

As the Associate Data Science, CLM, you will report to the Sr. Manager, CLM who leads the analytics group. While you will support the loyalty team’s analytic needs, your broader focus will be on general consumer data analysis and insights creation for the whole organization.

You will provide important and relevant analyses of transactional and consumer data to drive our marketing and business decisions that result in increased revenue, consumer experience and brand affinity. You will collaborate with various internal clients to add value to their field of expertise by understanding our consumers’ behavior, recommend action plans and analyze critical results.

With this opportunity, you will use your master skills in Alteryx, Tableau, SAS and other systems. You are familiar with navigating the pitfalls of analyzing transactional and consumer data. You have foundational knowledge in advanced analytic methodologies, such as regression, cluster analysis and predictive modeling. Your attention to details and strong analytical and data qualifications will help you manage plans and projects simultaneously and ensure a high level of accuracy of your results.

You have an inherent passion for data and data driven thinking and can extract patterns from volumes of data to drive insights and operational efficiencies. You can also take that data and tell an easy to understand brand story with actionable items for others. Additionally, you have a connectivity to youth culture, creative expression and live the Van Doren Spirit: work hard, collaborate well and most importantly, have fun.

How You Will Make a Difference:

1. Lead analysis of consumer data, including cross-tabulations and statistical analysis, to generate and test hypotheses about consumer and product trends. Present key insights and business recommendations to large groups and/or senior leadership teams.
2. Perform transactional and/or consumer basket analysis to provide business with insights into consumer purchasing patterns.
3. Develop standard reporting tools, such as business performance dashboards and/or scorecards, for key partners to utilize for business planning.
4. Perform independent data mining and database research to identify consumer opportunities.
5. Perform analyses related marketing and in-store testing, such as evaluation of segment performance within digital marketing campaigns.
6. Support consumer data acquisition efforts to further internal knowledge of consumers
7. Collaborate with functional partners to ensure the right business questions are being answered. Collaborate with VF Corporate retail analytics and data science teams to coordinate and align on key projects.
8. Your unique and diverse experiences and background enable you to provide differing perspectives to fuel our global growth. Additionally, you are inclusive by nature and you value differing points of view.

Skills for Success:

Years of Related Professional Experience: 3-5 years

Educational/ Position Requirements:

• A Bachelor’s degree in computer science, statistics, economics, business or related field and a minimum of 4 years general management experience in the data science, business, marketing or consumer analytics field or an equivalent combination of experience and training that provides the required knowledge, skills and abilities
• Master’s Degree Preferred
• Digital marketing, CRM, consumer or loyalty program analytics experience strongly preferred
• Prior retail industry background strongly preferred
• Exceptional data exploration skills and natural curiosity regarding retail and consumer behavior
• Ability to translate consumer data insights into impactful and meaningful business recommendations
• Strong attention to detail and commitment to data accuracy
• Comfortable reaching out to and collaborating with cross-functional business partners
• Ability to work independently to manage multiple projects at once, ensuring key deadlines are met
• Excellent verbal and written communication skills
• Highly skilled in Excel; proficient with PowerPoint or Keynote.
• Proficient in working with large datasets using analytical tools, such as Alteryx, SAS, JMP or similar
• Extensive knowledge of SQL and other programming language such as Python, R or equivalent
• Expert in data visualization using tools such as Tableau, Power BI, or equivalent
• Knowledge of statistical modeling and machine learning techniques and algorithms a plus (regression, multi-variate analysis, clustering, neural networks, etc.) for any of the following: natural language processing/text analytics, deep learning, or image analysis

Special Physical and/or Mental Requirements:

• Travel by air and overnight, as required 10% amount of time.
• Lifting and/or bending 5 pounds amount of weight.