Workplace Solutions - Marketing Data Analyst, Vice President

JPMorgan Chase & Co.; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Workplace Solutions Marketing Data Analyst to build and scale the data foundation informing participant engagement, lifecycle marketing, and lead generation.

You will translate behavioral, campaign, and platform data into actionable insights to improve outcomes and drive growth. Collaborating with Marketing, Product, Technology and client teams, you will define measurement frameworks, optimize lifecycle journeys, and enable data-driven decision-making across

Qualifications

• 7–10+ years in data analytics or related field.
• Ability to translate data into executive insights.
• Experience with marketing or lifecycle analytics.
• Strong cross-functional collaboration skills.

Responsibilities

• Define and operationalize the analytics strategy and measurement frameworks.
• Analyze participant behavior, campaign performance, and lifecycle data.
• Develop segmentation strategies to improve targeting and personalization.
• Create executive dashboards and tell data-backed stories for senior leadership.
• Partner with Marketing, Product, Technology to enable data-driven decision-making.

Skills

Data analytics

Executive storytelling

Cross-functional collaboration

Marketing analytics

Lifecycle analytics

Job description

The Workplace Solutions Marketing Data Analyst is a strategic and hands-on leader within J.P. Morgan Workplace Solutions Marketing, responsible for building and scaling the data foundation that informs participant engagement, lifecycle marketing, and lead generation.

This role sits at the intersection of marketing, product, and client experience—transforming behavioral, campaign, and platform data into actionable insights that improve participant outcomes and drive business growth.

You will partner closely with Marketing, Product, Technology, and client-facing teams to define measurement frameworks, optimize lifecycle journeys, and enable data-driven decision-making across communications, education, and digital engagement strategies.

Success is measured by the ability to translate data into clear narratives, operationalize insights into scalable practices, and drive measurable improvements in engagement, conversion, and advisor connectivity.

Key Responsibilities

Data Strategy & Measurement Frameworks

• - Define and operationalize the analytics strategy for Workplace Solutions Marketing
• - Establish standardized measurement frameworks (KPIs, attribution models, success metrics)
• - Ensure consistency and integrity in tracking and reporting

Analytics & Insight Generation

• - Analyze participant behavior, campaign performance, and lifecycle data
• - Translate complex datasets into clear insights for stakeholders
• - Develop segmentation strategies to improve targeting and personalization

Lifecycle Optimization & Experimentation

• - Partner with Marketing and Product to optimize participant journeys
• - Design and evaluate A/B testing and experimentation frameworks
• - Drive continuous improvement through data-informed iteration

Reporting & Executive Storytelling

• - Develop executive dashboards and performance narratives
• - Communicate insights clearly to senior leadership
• - Support client-facing storytelling with data-backed insights

Data Infrastructure & Governance

• - Partner with Product and Technology to ensure strong data pipelines and tracking
• - Establish best practices for data governance and quality
• - Improve data accessibility through dashboards and tools

Cross-Functional Leadership & Enablement

• - Act as a strategic partner across teams
• - Enable teams to become more data-driven
• - Influence roadmap prioritization with analytics

Qualifications

Required

• - 7–10+ years in data analytics or related field
• - Strong ability to translate data into executive insights
• - Experience with marketing or lifecycle analytics
• - Strong cross-functional collaboration skills

Preferred

• - Experience in financial services or fintech
• - Familiarity with campaign and engagement platforms
• - Experience with experimentation frameworks
• - Knowledge of data governance and compliance