Marketing Analytics Manager

Pennsylvania State Employees Credit UnionHarrisburg, PA
1dHybrid

About The Position

Members Achieve More isn't just a tagline for us, it's part of everything we do! We're looking for passionate individuals to join our team to help us maintain that focus every day. Want to work somewhere that's remained strong for 90 years, that encourages you to learn, grow, and pursue your dreams? If yes, then read on... The Marketing Analytics Manager leads a team of data analysts that deliver actionable insights across Marketing, Digital Experience, and Retail. This role turns member data into clear recommendations that drive growth, engagement, and retention. Success requires deep analytics expertise, strong leadership, and the ability to translate complex analysis into decisions leaders will use. Schedule: Monday - Friday, this position will be a hybrid model both in person and remote with minimum of onsite expectation of 40% or as needed.

Requirements

  • Bachelors (Required)
  • 2+ years of experience managing and developing analytics teams | Required
  • 7+ years of experience in data analytics, business intelligence, or related role | Required

Responsibilities

  • Lead, coach, and develop a team of analytics professionals supporting marketing, and bringing data to life across digital and branch partners
  • Own analytics for campaigns, promotions, membership growth, engagement, channel performance, media return on investment (or ROAS, RPMDS), inactivity, and churn
  • Partner with marketing and digital leaders to define measurement strategies, success metrics, and test design
  • Drive advanced analysis using statistical methods to identify drivers of acquisition, engagement, and attrition
  • Translate data into compelling stories, insights, and recommendations for executives and frontline leaders.
  • Design, build, and maintain dashboards that enable self-service insights and performance tracking
  • Ensure data quality, consistency, and clear metric definitions across teams
  • Prioritize and plan work using agile principles, balancing quick wins with long term analytics capability building
  • Influence decision making by challenging assumptions and grounding recommendations in data
  • Continuously improve analytics processes, tools, and standards
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