Senior Marketing Data Analyst (HP Solutions Marketing)

Role Overview

The Senior Marketing Data Analyst is a critical member of the Global HP Solutions Marketing team, responsible for turning complex marketing performance data into clear, actionable business insights.

What You Will Do

Analyze marketing performance across audiences, campaigns, programs, markets, channels, and stages of the customer journey. Translate data into clear insights, implications, and recommendations for marketing leaders and business partners.

Why It Might Be a Fit

The ideal candidate combines strong analytical skills with business curiosity and clear communication, able to work effectively across functions and within a complex, global, or matrixed organization.

Requirements

• Bachelor’s degree in business analytics, marketing, economics, statistics, engineering, finance, or a related field
• Typically 10+ years of experience in data analytics, marketing analytics, business intelligence, commercial analytics, or a related field
• Demonstrated experience analyzing marketing or commercial performance data and translating findings into business recommendations
• Experience working with multiple data sources, dashboards, and reporting environments
• Strong proficiency in Excel and data visualization or business intelligence tools, such as Power BI or equivalent platforms
• Ability to validate data, reconcile discrepancies, and understand the relationships between different metrics and systems
• Strong analytical problem-solving skills, with the ability to structure ambiguous questions and develop practical analytical approaches
• Excellent written and verbal communication skills, including the ability to create concise, executive-ready insights and presentations

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave

Tagged as: Data Analysis