Lead, Consumer Analytics Global
2 months ago
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.
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.
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.
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