AVP, Analytics – TJX & JC Penney
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Job Description
AVP, Analytics leading a team to support analytical projects for TJX & JCPenney at Synchrony. Focus on delivering insights to solve business problems and drive growth.
Responsibilities:
- responsible for analytical support of business and organizational priorities for TJX & JCPenney.
- lead a team of analysts to deliver analytical projects that will drive profitable growth such as portfolio diagnostics, campaign and digital measurement, customer behavioral analysis, value prop measurement, segmentation, reporting, and special projects as required.
- work closely with US Analytics counterparts and Marketing, Finance, and Sales stakeholders in solving business problems with solutions that are powered by data and analytics.
- proactively discover, lead, and solve business problems through basic to advanced analytics/data science tools and techniques, as applicable
- deliver hands-on, end-to-end projects by ensuring adherence to timely delivery, accuracy and documentation in line with Audit Procedures
- act as a SME and business consultant, offer analytical and strategic thinking, understand business needs and requirements, be able to translate needs and requirements into data, data architecture, analytical insights and recommendations
- partner cross-functionally with various stakeholder in a highly matrixed organization, working closely with Marketing, Sales, IT, Credit, and Finance, and multiple COE’s
- Provide guidance, support, and supervise offshore team members
- Utilize tools such as Adobe Analytics for digital measurement; Tableau for data visualization
- Utilize SAS/SQL to manipulate and analyze large datasets
Requirements:
- Bachelors Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 6+ years of relevant analytics experience.
- Minimum 8+ years of relevant work experience in lieu of specified degree preferably in financial services, retail, and/or ecommerce.
- Minimum 6 years of hands-on SQL and SAS programming experience; demonstrated ability to apply advanced algorithms and efficiently manage complex/large datasets.
- 2 years of experience with Python
- Minimum of 2 years of team management experience in a direct leadership capacity
- Strong credit card P&L knowledge with the ability to translate complex data into clear, actionable insights.
- Hands-on capability with coding, Tableau, and multiple data sources
- Familiarity with statistical methods and tools such as decision trees, regression, segmentation, NLP, and GPT.
- Demonstrated ability to manage complexity, ambiguity, and competing priorities.
- Experience synthesizing insights from structured analyses to inform business decisions and communicating with stakeholders in an effective manner.
Benefits:
- best-in-class employee benefits and programs that cater to work-life integration and overall well-being
- career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles
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