HP Solutions Worldwide Marketing Strategy & Operations Lead

HP • Spring, TX

4d • $130,700 - $205,200

About The Position

The Senior Marketing Data Analyst is a critical member of the Global HP Solutions Marketing team and serves as a trusted analytics partner to marketing leaders and teams across HP Solutions. The role turns complex marketing performance data into clear, actionable business insights by developing a deep understanding of marketing data, metrics, dashboards, and reporting flows; bringing together information from multiple sources; identifying performance drivers and data nuances; and translating findings into recommendations that improve marketing effectiveness and business outcomes.

The successful candidate combines strong analytical skills, business curiosity, and clear communication. They will work with imperfect or fragmented data, investigate discrepancies, and partner across teams to establish a reliable view of performance. Beyond reporting what happened, the analyst explains why it happened, what it means, and what actions the team should take next.

The role supports marketing performance analysis, dashboards and data expertise, measurement and reporting, business partnership, and continuous improvement of data quality and processes. The position is full-time. The stated annual pay range is $130,700 to $205,200 USD for candidates in the United States, with additional opportunities for bonus and/or equity. Pay varies by work location, job-related knowledge, skills, and experience.

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 relationships between different metrics and systems.
• Strong analytical problem-solving skills, including the ability to structure ambiguous questions and develop practical analytical approaches.
• Excellent written and verbal communication skills, including creating concise, executive-ready insights and presentations.
• Ability to work effectively across functions and within a complex, global, or matrixed organization.
• Strong attention to detail while maintaining focus on the broader business question.

Nice To Haves

• Experience in B2B, technology, SaaS, services, or solutions marketing.
• Familiarity with marketing funnel, campaign, demand generation, pipeline, revenue influence, ROI, and incrementality measurement.
• Experience with SQL, Python, or other analytical tools used to extract, transform, or analyze data.
• Experience working with CRM, marketing automation, digital analytics, financial, or customer data.
• Understanding of data visualization and dashboard design principles.
• Experience identifying opportunities to automate or streamline recurring reporting.
• An advanced degree or relevant analytics certification.

Responsibilities

• Analyze marketing performance across audiences, campaigns, programs, markets, channels, and customer journey stages.
• Translate data into insights, implications, and recommendations for marketing leaders and business partners.
• Identify performance trends, drivers, gaps, and opportunities that inform marketing strategy, investment decisions, and execution.
• Develop executive-ready performance narratives that connect marketing activity to customer, commercial, and business outcomes.
• Conduct ad hoc analyses to answer priority business questions and support leadership decision-making.
• Diagnose performance and identify optimization opportunities beyond descriptive reporting.
• Develop deep knowledge of HP Solutions marketing data sources, dashboards, metrics, definitions, and reporting processes.
• Pull, combine, validate, and interpret data from multiple dashboards, platforms, and business sources.
• Understand data flows across systems and identify dependencies, limitations, and potential sources of inconsistency.
• Investigate data discrepancies and partner with relevant teams to resolve issues or communicate limitations.
• Ensure analyses use appropriate definitions, methodologies, comparison periods, and levels of granularity.
• Help stakeholders navigate dashboards and understand what the data can and cannot reliably indicate.
• Support recurring marketing performance reporting, leadership reviews, quarterly business reviews, and planning processes.
• Track relevant marketing funnel metrics, including audience engagement, demand generation, conversion, pipeline, revenue influence, and marketing efficiency.
• Help define KPIs and measurement approaches based on business objectives and available data.
• Improve the consistency, accuracy, and usability of marketing performance reporting.
• Identify opportunities to simplify, automate, or enhance recurring analysis and reporting.
• Partner with measurement, operations, finance, and business teams to connect marketing indicators with broader commercial performance.
• Serve as a thought partner to marketing leaders, planners, campaign teams, and cross-functional stakeholders.
• Translate business questions into structured analytical approaches and proactively identify questions and insights not visible through standard reporting.
• Challenge assumptions constructively and use data to bring objectivity to business discussions.
• Communicate complex findings concisely and appropriately for the audience.
• Build relationships across global and market teams to improve data understanding, adoption, and decision-making.
• Identify gaps in data availability, quality, definitions, and reporting processes.
• Document metrics, data sources, methodologies, assumptions, and known limitations.
• Partner with data owners and technical teams to improve data reliability and reporting capabilities.
• Promote consistent use of marketing metrics and definitions across the organization.
• Recommend enhancements to dashboards, reporting workflows, and analytical processes based on stakeholder needs.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long-term and short-term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• 4–12 weeks of fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave
• Bonus and/or equity opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Senior