Marketing Analytics VP: Data-Driven Growth Leader

JPMorgan Chase; Columbus (OH); On-site; USD 133,000 - 205,000; Full time

Job summary

JPMorgan Chase is seeking a Marketing Analytics Specialist in the Private Client Data & Analytics team to support the full client marketing campaign lifecycle with data-driven insights. You will partner with Marketing and Product Strategy to inform targeting, business cases, list execution, reporting, testing and modeling.

The role requires strong technical and communication skills, experience with cloud data architectures, data wrangling, and translating complex results into actionable guidance

Qualifications

• BS Degree in an applicable STEM discipline and 5+ years of related Marketing Analytics experience.
• Hands-on analytics delivery to multiple management levels (Test Design, Financials, Conversion/Response Reporting, Incremental Analysis, Target/Segmentation).
• Experience with Snowflake, AWS and advanced querying languages (SQL, HQL, SparkSQL) with modern cloud architectures.
• Proficiency in web analytics (Adobe Insight/Adobe Site Catalyst) and interactive reporting (Tableau, Databricks).
• Strong communication skills to convey complex information clearly to senior leaders.

Responsibilities

• Lead end-to-end marketing analytics across the campaign lifecycle, including sizing, targeting, test design, reporting and insights.
• Collaborate with clients to define delivery approach and performance strategy.
• Provide tactical and strategic insights through analytics, reporting, and visualization.

Skills

Marketing analytics

SQL queries

Communication skills

Education

BS in STEM

Tools

Snowflake

AWS

Apache Spark SQL

Tableau

Databricks

Adobe Insight

Job description

JPMorgan Chase is seeking a Marketing Analytics Specialist in the Private Client Data & Analytics team to support the full client marketing campaign lifecycle with data-driven insights. You will partner with Marketing and Product Strategy to inform targeting, business cases, list execution, reporting, testing and modeling.

The role requires strong technical and communication skills, experience with cloud data architectures, data wrangling, and translating complex results into actionable guidance