UPS Digital Analytics Marketing Manager

UPS

1d

About The Position

The Marketing Analytics Manager will serve as the single point of accountability for marketing data architecture, reporting, and insights. This role ensures marketing data is clean, connected, governed, and activation‑ready. The Marketing Analytics Manager role partners closely with Marketing, BIA, Data Science, Revenue Operations, and external vendors to translate marketing needs into scalable, reusable data solutions. Acting as the bridge between strategy and execution, this role builds and maintains trusted dashboards, strengthens data hygiene, enables scalable audience building, and supports advanced analytics, including propensity modeling. The role leads the development and governance of audience traits, segments, metrics, dashboards, and AI‑enabled analytics, supporting paid media, CRM, and lifecycle engagement. Success is measured by gains in marketing efficiency, optimized investment decisions, and enabled self‑service insights across the organization.

Requirements

• Bachelor’s degree in Marketing Analytics, Data Science, Information Systems, Business, or equivalent professional experience.
• Experience in marketing analytics, marketing operations, or digital analytics, with demonstrated ownership of reporting and measurement outputs.
• Hands‑on experience working with CRM data used for marketing measurement and activation
• Experience supporting marketing automation and/or audience segmentation workflows, including campaign measurement and data flows between systems.
• Proven ability to translate marketing needs into clear metrics, dashboards, and actionable insights through cross‑functional partnership.

Nice To Haves

• Experience acting as a data product owner for marketing analytics or Marketing Technology platforms.
• Experience with Adobe Analytics, Google analytics and other marketing measurement platforms.
• Experience building and governing audience traits, segments, and activation rules across paid and CRM channels.
• Familiarity with advanced analytics such as propensity/predictive modeling, automated insights/anomaly detection, or performance forecasting.
• Experience with BI and visualization tools for executive and self‑service reporting; comfort operating in enterprise‑scale environments.

Responsibilities

• Marketing Data Architecture & Governance Own marketing data architecture end-to-end, partnering with the BIA and Data Science teams to design, document, and govern core marketing datasets and how they connect across systems and channels.
• Establish and maintain a “source of truth per metric” approach, ensuring metric definitions, lineage, and ownership are clear and consistent.
• Define governance standards for marketing measurement and activation, ensuring data is usable, trusted, and scalable.
• Dashboarding, Reporting & Measurement Frameworks Build and maintain marketing dashboards in partnership with BIA/Data Science, including executive and working‑level views that clearly distinguish KPIs vs. operational diagnostics.
• Document for each dashboard metric: source system, refresh frequency, and whether retrieval is manual vs. automated; continuously improve reliability and repeatability.
• Develop measurement frameworks that convert data into decisions, highlighting what’s working, why it’s working, and what to do next Data Hygiene & Quality Management Own data hygiene practices that improve marketing data completeness, accuracy, consistency, and usability across reporting and activation workflows.
• Establish standards and monitoring for common issues (duplication, inconsistent tagging, broken mappings, incomplete coverage) and coordinate remediation with analytics/engineering partners.
• Drive operational discipline in inputs that impact reporting quality (e.g., consistent campaign tagging/UTM practices in partnership with analytics/ops).
• Audience Building & Propensity to Buy Models Collaborate with Data Science to define requirements, operationalize, and maintain advanced analytics capabilities (e.g., propensity/predictive models, automated insights, anomaly detection).
• Partner with Marketing Operations and channel owners to build and govern scalable audiences: traits, segments, activation rules, and repeatable processes that support campaign execution.
• Ensure audience definitions are reusable, well‑documented, and measurable, enabling consistent targeting and performance evaluation across programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees