Manager, Marketing Analytics

PSECU•Harrisburg, PA

4d•Hybrid

About The Position

The Manager, Marketing Analytics leads the marketing analytics function and a team of analytics professionals supporting Marketing, Digital Experience, Retail, Product, and other lines of business. The role establishes measurement strategy, reporting standards, analytical priorities, and executive insights to improve marketing effectiveness, member growth, product adoption, engagement, and retention. The manager moves the function beyond report production to interpretation, recommendations, and decision support. In partnership with senior leaders and cross-functional stakeholders, the role defines business questions, KPIs, attribution approaches, test designs, dashboards, and analytical roadmaps. The manager balances recurring reporting with deeper analysis, predictive capabilities, and long-term measurement modernization. The position leads and develops analysts, manages competing priorities in a matrixed environment, ensures data quality and governance, and translates complex findings into concise recommendations. The role partners with Research & Insights, Lifecycle & Engagement, Paid Media, Marketing Strategy, Product, and Digital Experience to support audience analysis, campaign and journey measurement, forecasting, data activation, and future personalization capabilities. The schedule is Monday through Friday, 8:00 a.m. to 4:00 p.m. The position follows a hybrid model, with an onsite expectation of at least 40% or as needed.

Requirements

Bachelor’s degree required; equivalent combination of experience and education is accepted.
At least 7 years of progressive experience in marketing analytics, business intelligence, customer analytics, data science, decision science, or related analytical roles.
At least 3 years of experience leading, managing, coaching, and developing analysts or analytics professionals.
Advanced experience with Power BI, Tableau, or similar business-intelligence and visualization tools.
Advanced SQL skills and experience working with large, complex, multi-source datasets.
Applied knowledge of statistical analysis, experimental design, regression, segmentation, forecasting, and trend analysis.
Experience prioritizing analytical portfolios, managing competing stakeholder needs, and balancing recurring reporting with deeper analysis.
Experience supporting multiple lines of business and senior or executive stakeholders in a complex, matrixed organization.
Proven ability to translate complex findings into executive-ready insights, recommendations, and decisions.
Strong knowledge of marketing measurement, attribution, conversion analysis, ROI or ROAS, funnel performance, campaign effectiveness, and experimentation.
Strong understanding of data quality, metric governance, privacy, documentation, and analytical controls.

Nice To Haves

Experience developing attribution, incrementality, media-mix, forecasting, or marketing investment models.
Experience with member or customer lifecycle analytics, digital analytics, paid-media analytics, product analytics, or customer engagement measurement.
Experience with propensity models, predictive analytics, personalization measurement, next-best-action, or audience activation.
Experience with Snowflake, Microsoft Fabric, SSRS, Power BI, or comparable cloud-data and analytics environments.
Background in financial services, banking, credit union, insurance, healthcare, retail, or another regulated industry.
Working knowledge of Python, R, or other analytical programming tools.
Professional development in marketing measurement, experimentation, statistics, data governance, Agile, or people leadership.
Fabric – Microsoft; Pragmatic Works DAX Training for Power BI – Pragmatic Works; Active Issuer, Snowflake – Snowflake; SQL – Microsoft; Tableau Certified Desktop Specialist – Tableau.

Responsibilities

Lead, coach, and develop a team of analytics professionals; set priorities, assign work, manage performance, build career paths, and establish expectations for analytical rigor, responsiveness, business partnership, and executive communication.
Own the marketing measurement framework, including KPI definitions and measurement of campaign and channel performance, membership growth, product adoption, lifecycle and journey performance, promotion effectiveness, media efficiency, return on investment, retention, and attrition.
Develop and oversee executive-ready dashboards, scorecards, presentations, and recurring performance reviews; translate results into implications, risks, opportunities, and recommendations.
Partner with Marketing, Product, Digital Experience, Retail, Lending, Deposits, and other functions to clarify business questions, define analytical approaches, balance competing needs, and deliver insights.
Direct complex analysis using statistical methods, segmentation, experimentation, forecasting, propensity modeling, trend analysis, and behavioral data to identify drivers of acquisition, engagement, product usage, inactivity, retention, and growth.
Advance campaign attribution, media effectiveness, test design, A/B and multivariate testing, incrementality, and optimization practices, while explaining the appropriate uses and limitations of measurement approaches.
Partner with Research & Insights and Lifecycle & Engagement to measure audience performance, support segmentation frameworks, identify activation opportunities, evaluate journeys, and enable future personalization and next-best-action capabilities.
Partner with Digital Experience, Data, and Technology teams to define marketing data requirements and improve data access, integration, and activation through Snowflake and other enterprise platforms, emphasizing scalable and governed data use rather than platform administration.
Establish metric definitions, analytical methodologies, documentation, validation controls, privacy practices, and quality standards; resolve inconsistencies and ensure reporting is accurate, repeatable, and trusted.
Manage the analytics portfolio through intake, prioritization, capacity planning, and roadmap practices; balance executive reporting, recurring support, ad hoc requests, quick-turn analysis, and long-term capability development.
Use analytical storytelling to challenge assumptions constructively, frame decisions clearly, and influence senior stakeholders; ensure the team explains what happened, why it happened, what it means, and what should happen next.
Improve analytical processes, tools, automation, self-service reporting, and team standards; evaluate emerging methods and technologies and build scalable marketing intelligence aligned to enterprise priorities.
Perform other duties as assigned.