Responsibilities

• Analyze member and campaign data across platforms to evaluate performance, uncover trends, and identify opportunities
• Deliver strategic insights on campaign impact, segmentation, and financial results to guide business decisions
• Design and execute A/B tests to validate hypotheses, improve campaign performance, and inform business strategy
• Design and build dashboards and reports that track KPIs and provide clear visibility into marketing effectiveness and member behavior
• Provides updates regarding customer satisfaction trends and drivers of our customers’ Likelihood to Recommend and Net Promoter Scores (NPS)
• Refine audience segmentation through psychographic and behavioral analysis
• Translate member feedback and experience data into actionable recommendations
• Use data to understand and optimize the customer journey across digital and physical channels
• Partner with Product Managers and internal teams to develop analytic initiatives and business strategies that align with member needs and revenue goals
• Champion continuous improvement by embedding data-informed practices into marketing processes
• Identify opportunities to improve analytic infrastructure, processes and capabilities; work cross-functionally to drive and implement enhancements

Requirements

• Bachelor’s degree in Marketing, Finance, Statistics, Economics, or Business or equivalent experience
• 5 years' experience in analytics, business intelligence, data-driven marketing, or finance
• 3 years’ experience using BI tools including Power BI, CRM platforms, Web analytics tools, or MCIF databases
• Minimum three (3) years of SQL or similar querying experience
• Ability to synthesize complex data from a variety of sources into succinct actionable recommendations and concisely present findings to executive level audience.
• Organized and detail-oriented, with the ability to manage multiple projects and quickly react to changing business needs while meeting firm deadlines
• Ability to effectively communicate both verbally and written with all levels within the organization
• Must be bondable

Preferred

• Financial Services, Banking or Credit Union experience
• Proficiency in querying and analyzing data using SQL or similar query language. Ability to extract, clean and interpret large datasets to identify trends, insights, and opportunities
• Experience with statistical software (e.g. R, Python, SAS or SPSS) to perform advanced analyses and modeling