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Lead, Consumer Analytics Global - Converse

72% Flex
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree in relevant field, 5+ years of experience in data analytics.

Key responsabilities:

  • Collaborate on measurement and analyses
  • Lead advanced analytics workstreams
  • Build consumer measurement frameworks
  • Accelerate adoption of analytics tools
  • Support ongoing data quality monitoring
Nike logo
Nike Retail (Super / Hypermarket) XLarge https://www.nike.com/
10001 Employees
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Job description

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Your missions

Open to remote work except in South Dakota, Vermont and West Virginia.

The annual base salary for this position ranges from $119,400.00 in our lowest geographic market to $267,500.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

Information about benefits can be found here.
 

WHO WE ARE LOOKING FOR

Converse is seeking a highly motivated and experienced Lead, Consumer Analytics Global to join our team. As a key player on the Converse Global Direct Analytics Team, you will have the opportunity to drive our next level of sophistication around customer analytics.

You will collaborate with a skilled team of analytics professionals and work closely with regional Direct-to-Consumer teams, marketing, and technology to develop a comprehensive understanding of Converse consumers through data and analytics. You will take on a leadership role in identifying key insights to inform product, experience & marketing strategies, influencing decision-making, and successfully implementing data-driven actions. This is a great opportunity to be part of a renowned brand that is known for its innovation, ambition, and flawless execution!

WHAT YOU WILL WORK ON

Key responsibilities include:

  • Collaborate with business partners to develop a measurement plan and lead both planned and ad-hoc analyses that support consumer (CRM) and marketing use cases.
  • Perform advanced analytics and produce clear & simple outputs (e.g., reports, dashboards) to enable decision-making.
  • Lead Advanced Analytics workstreams, including audience segmentation strategies, lifetime value, predictive modeling, and marketing attribution.
  • Build and manage consumer measurement frameworks and customer-centric reporting tools for monthly reporting, QBR, and annual business use-cases.
  • Accelerate adoption of analytics and tools throughout the company by providing training, sharing successful strategies, and encouraging collaboration among different teams.
  • Support ongoing data quality monitoring efforts for first-party & third-party data.

WHO YOU WILL WORK WITH

You will work closely with the Manager, Consumer and Marketing Data & Analytics and be an integral part of our Global Direct-to-Consumer Analytics COE. You will collaborate closely with the broader Global Direct-to-Consumer team and regional Marketing, Site Merchandising, and CRM teams, as well as Global Marketing and Technology.

WHAT YOU BRING
  • Bachelor's degree in Computer Science, Statistics, Decision Science, Applied Math, Economics, Behavioral Science or combination of relevant education, experience.
  • 5+ years of experience working in applied data or quantitative digital research setting with a proven track record of delivering insights and business impact.
  • Background in the production of consumer data, testing, or customer research in ecommerce, retail, or digital products for targeted communications and consumer journeys.
  • Proficiency in advanced analytic techniques, including marketing mix, predictive modeling, multivariate regression analysis, and measuring return on investment (ROI).
  • Proficiency in data analysis using SQL, R, Python, and other software applications.
  • Expertise using data visualization tools such as Tableau.
  • Experience with large datasets and relational databases.
  • Familiarity with current trends and effective strategies in digital marketing communication and CRM for retail, digital commerce, or mobile apps is a plus.
  • Proficient in managing multiple large data projects in a fast-paced, collaborative environment with diverse business partners and evolving objectives.
  • Demonstrated resourcefulness, problem-solving skills, and the ability to discover new data sets/methodologies to answer business questions.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Retail (Super / Hypermarket)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • Team Collaboration
  • Leadership
  • Problem Solving
  • Strong Communication

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