Marketing Analytics Strategist - Data-Driven Campaigns

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 95,000 - 135,000; Full time

Job summary

JPMorgan Chase & Co. in Columbus, OH seeks a Marketing Analytics Specialist to support the full client marketing lifecycle—from targeting and business case development to reporting, testing, and modeling.

You will partner with Marketing and Product Strategy to drive data-driven decisions and communicate how products improve clients' financial lives. The role requires strong SQL, Python, and data visualization skills, along with experience in Snowflake/AWS and advanced analytics tools.

Qualifications

• BS degree in a STEM field and 5+ years in marketing analytics.
• Experience delivering analytics to multiple levels of management, including test design and reporting.
• Proficiency with Snowflake, AWS, and SQL-based query languages.
• Strong web analytics and reporting experience using modern tools.

Responsibilities

• Lead end-to-end marketing analytics across the campaign lifecycle, including sizing and targeting.
• Partner with clients and stakeholders to define delivery approach and strategy.
• Provide analytics insights via reporting and data visualization.
• Translate complex results into clear, actionable recommendations for senior leaders.
• Stay current with industry trends and evaluate new tools to address needs.
• Collaborate across teams to drive data-driven marketing initiatives.

Skills

Marketing analytics

Python

SQL

Tableau

Data visualization

Communication

Problem solving

Cross-functional collaboration

Education

BS Degree in a STEM discipline

Tools

Snowflake

AWS

SQL

HQL

SparkSQL

Tableau

Databricks

Job description

JPMorgan Chase & Co. in Columbus, OH seeks a Marketing Analytics Specialist to support the full client marketing lifecycle—from targeting and business case development to reporting, testing, and modeling.

You will partner with Marketing and Product Strategy to drive data-driven decisions and communicate how products improve clients' financial lives. The role requires strong SQL, Python, and data visualization skills, along with experience in Snowflake/AWS and advanced analytics tools.