Senior Marketing Data Analyst (HP Solutions Marketing)

HP•Houston, TX

About The Position

The Senior Marketing Data Analyst is a critical member of the Global HP Solutions Marketing team, turning complex marketing performance data into clear, actionable business insights. The role serves as an analytics partner to marketing leaders and teams across HP Solutions, developing a deep understanding of marketing data, metrics, dashboards, and reporting flows. The analyst brings together information from multiple sources, investigates performance drivers and data nuances, and translates findings into recommendations that improve marketing effectiveness and business outcomes. The position combines analytical rigor, business curiosity, and clear communication. The analyst works with imperfect or fragmented data, investigates discrepancies, and partners across teams to establish a reliable view of performance. In addition to reporting results, the role explains why they occurred, what they mean, and what actions to consider. The analyst supports marketing performance analysis, measurement, reporting, data quality, and business partnership. They contribute to recurring reporting and leadership reviews, help define appropriate KPIs, improve reporting processes, and promote consistent metric definitions. They communicate complex findings in practical, audience-appropriate ways and partner with data owners and technical teams to strengthen data reliability and reporting capabilities.

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 structuring ambiguous questions and developing 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.
Advanced degree or relevant analytics certification; helpful but not required.

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 to inform marketing strategy, investment decisions, and execution.
Develop executive-ready performance narratives connecting marketing activity to customer, commercial, and business outcomes.
Conduct ad hoc analyses to answer priority business questions and support leadership decisions.
Diagnose performance and identify optimization opportunities beyond descriptive reporting.
Develop a deep understanding 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 HP Solutions marketing leaders, planners, campaign teams, and cross-functional stakeholders.
Translate stakeholder business questions into structured analytical approaches.
Proactively identify questions and insights that may not be visible through standard reporting.
Constructively challenge assumptions 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 key 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.