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Nike Deutschland GmbH

Lead Direct Analytics, NA - Converse

Nike Deutschland GmbH, Boston, Massachusetts, us, 02298


Become part of the Converse Team

Converse is a place to explore potential, break barriers and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Converse, it’s about each person bringing skills and passion to a challenging and constantly evolving world to make things better as a team.

ABOUT OUR TEAM

The NA Direct (Digital + Stores) team drives the fast-paced direct-to-consumer business. We balance art and science to drive amazing consumer experiences that support both brand and commercial objectives.

WHO WE ARE LOOKING FOR

We’re looking for a Manager of Consumer & CRM Analytics. The person will play a key role in building the foundation to better understand who our consumer is and how they shop. To join our team, we are looking for someone who is curious about all things data/business, understands how data is used in a business environment, can provide actionable insights to enhance the DTC customer experience and business performance. This person must be comfortable with statistical analysis + data science concepts to solve problems and make recommendations. This role will support a variety of cross functional partners across CRM, Marketing, & Merchandising to translate analysis into executable recommendations.

WHAT YOU WILL WORK ON

If this is you, you’ll be working across the North America Direct team on many cross functional initiatives!

Create campaign measurement frameworks to support a deeper understanding of our consumer. This includes analysis across various levels of the consumer journey, including performance marketing, on-site behavior, path to conversion & post-purchase trends.

Build consumer segmentation model to define the highest value (LTV) consumers to support both CRM & performance marketing offense.

Analyze omni-channel DTC consumer data to identify trends, behaviors, and preferences.

Own monthly business reviews with ‘Direct’ (Stores + Digital) team, making recommendations on business optimizations based on data insights.

Partner with Geo stakeholders to develop & recommend key metrics & data visualizations to support and optimize business – work with Global teams to implement.

Stay updated on industry trends and best practices in DTC consumer analytics and e-commerce to help the business read and react to consumer moments and marketplace dynamics.

Support ad hoc data analytics requests as needed.

WHO WILL YOU WORK WITH

You will report to the Director, Direct Growth & Analytics. This role will heavily collaborate across the NA Digital and Stores teams to drive & optimize the current business.

WHAT YOU BRING

Bachelor’s degree in business, strategy, statistics, decision science, or a combination of relevant education and experience.

5 years of relevant professional experience preferred.

Experience with key digital marketing KPIs and familiarity with analytics tools such as Adobe, Optimizely, Content Square, Salesforce, etc.

Proficiency in data visualization (e.g., Tableau, Looker, etc).

History of analytical team collaboration and building collaborative business partner relationships.

Advanced verbal and written communication skills with comfort presenting results to senior leadership.

Excellent time management and ability to prioritize multiple work streams.

Converse is more than a company; it’s a worldwide advocate for self-expression. This belief motivates our employees, permeates our working environment and inspires our products. No two of us look or think exactly alike. We are each one-of-a-kind. Individually and as a culture, we have the freedom to create and grow professionally. Generous benefits packages only sweeten the experience. From Boston to Shanghai, from Brand Design to Finance, Converse is a brand that celebrates the unique and creative people of the world. Together, we’re different.

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