Senior Manager Marketing Analytics Data Science
Senior Manager Marketing Analytics Data Science
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1 Vacancy
Job Description
Serving the needs of all families with young childrenCarters Inc. is the largest North American apparel retailer exclusively for babies and young children encompassing Carters OshKosh Bgosh Skip*Hop and Little Planet brands. Meaningful work constant learning genuine people and a community guided by core values that promote inclusion and innovation is in everything we do. There are many reasons to build your career at Carters.
ESSENTIAL JOB FUNCTIONS (TASKS DUTIES AND RESPONSIBILITIES MOST IMPORTANT TO GET THE JOB DONE):
Carters is seeking a highly skilled and analytical leader to join the team as the Marketing Analytics Sr Manager. This role will be responsible for data science customer modeling developing and executing marketing forecasting strategies analyzing customer data measuring personalization test results and providing valuable insights to drive informed decisionmaking. The ideal candidate is proficient in marketing analytics tools possesses strong statistical and forecasting skills has a deep understanding of marketing metrics and trends and can work collaboratively with business partners. The role will support Marketing and personalization and collaborate across teams including Ecommerce merchandising stores and IT.
The Marketing Analytics Sr. Manager will play a critical role by analyzing customer engagement with personalized offers and content to identify opportunities for incremental valueadded improvements. This individual will collaborate closely with data science teams leveraging advanced tools to enhance customer segmentation and forecasting models. Additionally they will provide actionable recommendations to optimize marketing spend efficiency ensuring impactful resource allocation. This individual will report to the Sr. Director of Marketing Analytics & Customer Growth.
40 Customer Analytics and Performance Measurement
- Customer Insights: Analyze customer behavior and journey data to uncover actionable insights that inform marketing strategies.
- Performance Reporting: Build dashboards and reports to track the effectiveness of personalized offers and content.
- Campaign Analysis: Evaluate marketing campaigns success providing recommendations to improve ROI and customer engagement.
- Channel Optimization: Assess performance across different channels (email web mobile) to identify opportunities for personalization enhancements.
30 Customer Modeling
- Segmentation Models: Create and maintain advanced customer segmentation models to enable personalized targeting.
- Propensity Models: Develop models to predict customer likelihood of responding to specific offers or content.
- Lifetime Value (CLV) Modeling: Build CLV models to identify highvalue customers and inform retention strategies.
- RealTime Personalization: Work with platforms like Pega to implement and refine models for realtime offer and content personalization.
20 Customer Forecasting and Measurement
- Predictive Forecasting: Develop forecasting models to predict customer engagement and purchase behaviors.
- Business Impact Estimation: Estimate the potential impact of marketing personalization strategies on revenue and customer retention.
- Scenario Planning: Use advanced forecasting techniques to simulate the outcomes of various marketing strategies and budget allocations.
- Trend Analysis: Monitor and forecast customer trends to stay ahead of evolving preferences and market dynamics.
10 Data Science Process and Best Practices
- Create and maintain a scalable data science ecosystem to support marketing initiatives not limited to feature engineering design model recommendations model accuracy testing
- Stay uptodate with industry trends and advancements in data science and recommend new tools and techniques to improve data analysis processes.
- Establish best practices for collaboration reproducibility and continuous improvement in data science workflows.
WED LOVE TO HEAR FROM YOU IF:
- Proven experience in an analytical role for 7 years
- SQL and Advanced Excel experience required
- Experience with marketing customer loyalty or customer journey analysis
- Experience developing and working with forecasting models
- Experience developing and explaining A/B test measurement models
- Proficiency in statistical analysis tools such as R or Python and experience with marketing analytics platforms (e.g. Adobe Analytics Google Analytics CRM Zeta)
- Proficiency in visual analytical tools such as Tableau Microsoft PowerBI etc.
- Marketing customer operations supply chain or retail analytics experience required
- Bachelors degree in Marketing Statistics Mathematics Economics or a related field
- 3 years experience leading teams and coaching data scientists and analytical individuals. May have up to 2 direct reports
Preferred skills and experience:
- Strong analytical and interpersonal communication skills with the ability to work independently and crossfunctionally
- Experience with analytical platforms including Snowflake database Snowpark Jupyter Notebook/Hub and Datarobot
- Proven success influencing and collaborating within a team and in a fastpaced deadlinedriven environment
- Strong critical thinking skills and creative approaches to test new ideas and drive business results.
- Experience with project lifecycle management tools (e.g. JIRA and Confluence)
- Personalization customer journey and segmentation experience is a plus
- Understanding of digital marketing channels (Email SMS push SEO SEM Social etc.
OUR TEAM MEMBERS:
- Lead Courageously: Have a strong sense of personal values that align with our Company values
- Collaborates Broadly: Build cooperation trust and thrive in a consensus driven environment
- Customer Focus: Proactively seek opportunities to leverage data and factbased insights to serve customers and/or internal clients
- Drive Growth: Set aggressive goals and implement plans precisely
- Cultivates Innovation: Respectfully challenge the weve always done it this way mentality and explore new ways to achieve desired outcomes
MAKE A CAREER AT CARTERS:
Career Development: Success starts from within and we have several paths from which you can choose to enhance your career evolution. From Carters University to Toastmasters to mentorship programs and more we encourage you to utilize these tools to elevate your professional prowess.
NOTE: This job description is not intended to be allinclusive. The duties described may be changed or reassigned at the discretion of management and the employee may be required to perform duties that are not listed in the job description.
Carters is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity sexual orientation national origin genetics disability age veteran status or any other status protected by federal state or local law.
Required Experience:
Senior Manager
Employment Type
Full-Time
