Responsibilities

• Collaborate with Marketing and business partners to develop and execute audience segmentation and targeting strategies across email, direct mail, paid media, push notifications, digital banking communications, and other marketing channels using demographic, behavioral, financial, and transactional data.
• Analyze member and prospective member behavior, channel performance, campaign results, and growth trends to identify opportunities to improve member acquisition, product adoption, and engagement.
• Measure and evaluate the effectiveness of marketing campaigns, channels, and initiatives using segmentation, attribution, conversion funnel, and ROI analysis, quantifying impact, and business outcome measurement.
• Design, develop, and own dashboards, scorecards, visualizations, and reporting that provide visibility into marketing performance, channel effectiveness, campaign ROI, audience performance, and business outcomes.
• Evaluate acquisition performance across paid, owned, and partner channels, identifying opportunities to optimize targeting, improve conversion efficiency, and maximize marketing investment.
• Support audience creation, prescreen strategies, recurring campaign execution, and marketing activation efforts while identifying opportunities to improve scalability, automation, and operational efficiency.
• Assess growth opportunities across community markets, strategic partnerships, and external data sources, providing recommendations that improve prospect targeting and acquisition effectiveness.
• Act as the primary analytics advisor to marketing leadership, influencing strategic planning, investment decisions, growth initiatives, annual planning efforts, and performance optimization efforts through data-driven recommendations.
• Partner with data, technology, and business teams to ensure data quality, integrity, and consistency across marketing analytics, reporting, and measurement initiatives.
• Support BCU's evolving data strategy initiatives, including leveraging marketing technologies and capabilities, to create a more unified view of members and prospects and enabling increasingly personalized experiences.

Requirements

• Bachelor's degree in Business, Marketing, Analytics, Data Science, Economics, Statistics, or a related field.
• 5+ years of experience in marketing analytics, business analytics, growth analytics, performance marketing analytics, or a related analytical role, with financial services experience preferred.
• 5+ years of experience working with relational databases, including writing SQL queries and leveraging data for analysis and reporting.
• 3+ years of experience building dashboards, visualizations, and reporting solutions using Power BI or similar business intelligence tools.
• Advanced proficiency in Microsoft Excel, including pivot tables, complex formulas, and data analysis techniques.
• Strong understanding of marketing analytics disciplines including audience segmentation, attribution, campaign measurement, conversion analysis, funnel metrics, acquisition performance, and ROI measurement.
• Demonstrated ability to connect performance metrics to business outcomes, including membership growth, product adoption, engagement, lending performance, revenue impact, and profitability.
• Strong analytical storytelling skills, with the ability to translate complex data into concise, actionable insights and strategic recommendations for diverse audiences, including senior leadership.
• Strong collaboration, communication, and stakeholder management skills, with the ability to influence decisions and serve as a trusted thought partner across multiple business functions.
• Familiarity with AI-enabled analytics tools and a passion for leveraging technology to accelerate insight generation and improve decision-making.

Preferred

• Experience with CRM, marketing automation, and Customer Data Platform (CDP) solutions such as Salesforce, Salesforce Marketing Cloud, and Salesforce Data Cloud (Data 360) a plus.
• Familiarity with AI-enabled analytics tools and a passion for leveraging technology to accelerate insight generation and improve decision-making.

Benefits

• competitive benefits
• workplace flexibility
• collaborative culture