Sr. Analyst Lead; Web, Adobe

Job Description

Must Have Technical/Functional

Skills:

• Core Data Engineering Competencies
• Data Concepts & Data Modelling
• Digital:
  Big Data Platforms
• Data pipelines design
• Microsoft fabric data agents
• Azure AI Services
• AI and ML Integration
• Analytical and problem solving skills
• Performance tuning and monitoring
• Digital:
  Py Spark
• ecommerce domain knowledge
• Digital:
  Adobe Analytics
• Digital:
  Customer Analytics
• Adobe customer journey analytics
• clickstream data

We are seeking an experienced Marketing Analyst (9+ years) with a strong background in digital marketing for online retail. The ideal candidate will have hands‑on expertise in Customer Journey Analytics (CJA), advanced statistical analysis, and a proven ability to collaborate with business stakeholders to define KPIs, analyze customer journeys, and provide actionable recommendations to drive engagement and conversion. The candidate must demonstrate thought leadership, curiosity, and a proactive approach to innovation and problem‑solving in a fast‑paced, agile environment.

• Lead end‑to‑end analysis of digital marketing and experimentation performance using Customer Journey Analytics (CJA) and Adobe tools to drive actionable business insights.
• Define and refine KPIs, measurement frameworks, and conversion funnels, ensuring alignment with business objectives and stakeholder expectations.
• Perform exploratory data analysis (EDA) to identify trends, anomalies, and optimization opportunities across web and app customer journeys.
• Generate and present insight‑driven recommendations to improve engagement, conversion, and overall digital experience.
• Collaborate with business stakeholders, product teams, and experimentation teams to support decision‑making through data‑backed insights.
• Develop, maintain, and optimize dashboards and reporting solutions to track marketing performance and experimentation outcomes.
• Ensure data accuracy and consistency across platforms (CJA, Adobe Target, reporting tools) through validation and reconciliation.
• Support experimentation analysis (A/B testing) by measuring results, interpreting outcomes, and providing actionable learnings.
• Lead or mentor team members in analytics best practices, data storytelling, and insights generation.
• Drive continuous improvement by identifying gaps in tracking, reporting, and measurement frameworks, and recommending enhancements.

• Discretionary Annual Incentive
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family Support:
  Maternal & Parental Leaves
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing

Salary Range: $64,000 - $100,000 a year