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PSECU

Not-for-profit, member-owned credit union

Manager Marketing Analytics

Data ScienceConfirmed live in the last 24 hours
Full-timeHarrisburg, PA, USANo salary listed

About the Job

Requirements

  • A bachelor's degree is required.
  • At least 3 years of experience leading, managing, coaching, and developing analysts or analytics professionals.
  • At least 7 years of progressive experience in marketing analytics, business intelligence, customer analytics, data science, decision science, or related analytical roles.
  • 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.
  • Ability to translate complex findings into executive-ready insights, recommendations, and decisions.
  • Strong knowledge of marketing measurement, attribution, conversion analysis, return on investment or return on advertising spend, funnel performance, campaign effectiveness, and experimentation.
  • Strong understanding of data quality, metric governance, privacy, documentation, and analytical controls.

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, campaign and channel performance, membership growth, product adoption, lifecycle and journey performance, promotion effectiveness, media efficiency, return on investment, and retention or attrition measures.
  • Develop and oversee executive-ready dashboards, scorecards, presentations, and recurring performance reviews; translate results into implications, risks, opportunities, and recommendations that support investment and strategic decisions.
  • 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 across multiple lines of business.
  • 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; ensure leaders understand the appropriate uses and limitations of each measurement approach.
  • Partner with Research & Insights and Lifecycle & Engagement to measure audience performance, support existing 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, 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 using transparent intake, prioritization, capacity planning, and roadmap practices; balance executive reporting, recurring business support, ad hoc requests, quick-turn analysis, and long-term capability development.
  • Challenge assumptions constructively, frame decisions clearly, and use data storytelling to influence senior stakeholders; ensure the team answers 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 a scalable marketing intelligence capability aligned to enterprise priorities.
  • Perform other duties as assigned.

Desired Qualifications

  • 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 unions, 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.

About the Company

PSECU

Not-for-profit, member-owned credit union

PSECU is a member-owned, not-for-profit credit union serving Pennsylvania residents, families, and students since 1934 through a digital-first banking model. It offers checking and savings accounts, credit cards, auto and personal loans, mortgages, student loans, and investment and insurance products. What sets PSECU apart is its member-first structure, returning profits to account holders as competitive rates and lower fees, backed by 24/7 human support. The goal is to help members achieve more throughout their financial lives.

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