At FNBO, our employees are the heart of our story—and we’re committed to their success! Please see below the details of this career opportunity and how it fits into our organization’s success.

The Director of Marketing Analytics within the Partnership Data & Modeling (PDM) division and serves as the analytical point of contact for the Partnership Marketing team. This role is responsible for translating the data assets, reports, and models developed across PDM into actionable marketing strategies that drive measurable business outcomes — including lower cost per acquisition, portfolio growth, effective targeting, and improved marketing performance across direct mail, acquisition, and account management programs.

About This Role:

 

1.  Marketing Analytics Partnership

• Translate data assets, predictive models, and BI reports developed across PDM into practical, actionable marketing strategies and recommendations.
• Proactively bring analytical insights and opportunities to the Partnership Marketing team — identifying where data can improve targeting, reduce waste, or unlock growth.
• Represent marketing analytics needs back to PDM — ensuring that model development, data portfolio, and BI priorities reflect the requirements of the marketing function.
• Maintain a clear understanding of Partnership Marketing's goals, campaigns, and challenges to ensure analytical support is timely, relevant, and impactful.

2.  Campaign Planning

• Lead analytical support for campaign planning across direct mail (DM), acquisition, and account management programs — defining target audiences, channel mix, offer structures, and success metrics.
• Leverage PDM data assets and models to size audiences, forecast response rates, and optimize business outcomes for planned campaigns.
• Collaborate with PDM, Marketing and Marketing Engineering team to develop campaign briefs grounded in data, ensuring targeting strategies are aligned with acquisition, engagement, and retention objectives.

3.  Targeting & Optimization

• Drive targeting precision across DM, acquisition, and account management by leveraging propensity models, segmentation frameworks, and data assets developed within PDM and/or external vendors.
• Translate model outputs into practical targeting strategies — defining selection criteria, suppression logic, and audience prioritization for each campaign.
• Continuously optimize targeting strategies based on campaign performance data, test results, and evolving business objectives — with a clear focus on reducing CPA and improving business outcomes.
• Implement champion/challenger targeting approaches to systematically test and improve selection strategies over time.
• Partner with PDM modeling teams to provide feedback on model performance in a marketing context, informing model recalibration and future development priorities.
• Identify opportunities to expand or refine targeting capabilities by surfacing gaps in current models or data assets to PDM leadership.

4.  Customer Management Analytics

• Apply customer lifecycle analytics to support marketing strategies across onboarding, engagement, deepening, retention, and win-back — leveraging customer data and models.
• Identify key behavioral signals and lifecycle triggers that indicate opportunities for proactive marketing outreach, offer delivery, or retention intervention.
• Support account management targeting programs — including balance conversion, retention, and cross-sell — by translating customer-level analytics into actionable campaign inputs.
• Track and report on customer metrics — including engagement, activation, utilization, and attrition risk — providing regular insights to Partnership Marketing stakeholders.
• Collaborate with PDM analytics and data science teams to leverage next-best-action and next-best-offer model outputs in customer management campaigns.

5.  Test & Learn

• Design, execute, and analyze test-and-learn programs across DM, acquisition, and account management — including A/B tests, holdout groups, and multivariate experiments.
• Develop a structured test-and-learn roadmap aligned to Partnership Marketing priorities, ensuring tests are designed to generate statistically valid and actionable insights.
• Define test hypotheses, sample sizes, control groups, and success metrics in collaboration with marketing and business stakeholders.
• Analyze test results with statistical rigor, communicating findings, confidence levels, and recommended actions clearly to non-technical audiences.
• Maintain a test-and-learn knowledge base — documenting results, learnings, and implications to build institutional knowledge and prevent duplication of effort.
• Champion a culture of experimentation within the marketing analytics team and across the Partnership Marketing function.

6.  Marketing Insights

• Analyze data and translate PDM BI reports, co-work agents, dashboards, and model outputs into business narratives that are accessible and relevant to marketing audiences.
• Proactively surface trends, anomalies, and opportunities within marketing and customer data, bringing forward insights that inform strategy and planning.
• Present analytical findings and recommendations to senior marketing and PDM leadership with clarity and confidence.

The Ideal Candidate for This Role:

 

• Bachelor's degree required; Master's degree preferred in Statistics, Mathematics, Economics, Data Science, Marketing Analytics, or a related quantitative field.

Experience

• Minimum of 7+ years of experience in marketing analytics, data science, or a related analytical role
• Proven experience in financial services, credit card, or consumer lending marketing analytics strongly preferred.
• Demonstrated track record of analyzing data and translating analytical outputs — models, reports, data — into marketing strategies that drive measurable improvements in CPA, response rates, and portfolio growth.
• Experience designing and executing DM targeting, acquisition, and account management programs.
• Background in test-and-learn design, statistical analysis, and communicating experimental results to business stakeholders.

Technical Skills

• Advanced proficiency in SQL for data extraction, manipulation, and analysis.
• Strong skills in Python or R for statistical analysis and data manipulation.
• Experience with data visualization and BI tools (e.g., Power BI, Tableau, QuickSight).
• Familiarity with cloud data platforms (e.g., Snowflake, AWS) and marketing data ecosystems.
• Ability to interpret and apply predictive model outputs (propensity scores, segmentation, risk scores) in a marketing context — model building experience a plus.

Role Competencies

• Exceptional communication and storytelling skills — able to translate complex analytical findings into clear, compelling narratives for marketing and senior business audiences.
• Collaborative and relationship-oriented — comfortable serving as a trusted analytical partner to a non-technical marketing team.
• Highly organized with strong project management skills and the ability to manage multiple campaign and analytical priorities simultaneously.
• Strategic thinker who connects analytical insights to business outcomes and marketing strategy.
• Commitment to data governance, privacy compliance, and responsible use of customer data.

Candidates must possess unrestricted work authorization and not require future sponsorship.

Compensation:

 

Compensation range (base pay): $97,774.00-$166,216.00

This role may have a specific starting pay within this range.

Final compensation offer to candidate may vary from posted hiring range based upon work experience, education, and/or skill level.

Work Environment:

It is anticipated that the incumbent in this role will work onsite at the posted location. Our onsite environment fosters innovation, mentorship, and a vibrant culture where ideas flow freely and relationships flourish. As part of our team, you'll experience the energy of our collaborative spaces designed to support your professional growth while working alongside talented colleagues who inspire excellence daily. Please note that work location is subject to change based on business needs.

Benefits Overview:

We offer a variety of benefits designed to keep you and your family physically and financially healthy. Not only do we offer a competitive salary and work-life balance, we offer benefits to match your needs:

• Medical, Dental, Vision Insurance

• 401k, With Matching Contributions

• Time Off Programs

• Health Savings Account (HSA)/Dependent Care

• Employee Banking

• Growth Opportunities

• Tuition Assistance

• Short-Term/Long-Term Disability Insurance

Learn more about FNBO benefits here: https://www.fnbo.com/careers/benefits/.

For additional information regarding compensation and benefits, e-mail FNBO at [email protected]. To ensure you receive a response, include the number of this job (listed below) in the subject line of your message.

Job number: R-20261710

Equal Opportunity & Belonging:

FNBO believes that the quality of our employee experience is at the heart of our customer experience. One key pillar of our intended employee experience is Belonging. Belonging means we are committed to fostering a workplace culture where employees of all backgrounds feel valued, recognized, and empowered to be their authentic selves—no matter their role or where they are in their journey.

Learn more here.

FNBO is an equal opportunity employer for all employees and applicants and makes employment decisions without regard to status or identity.

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FNBO is an Equal Opportunity/Affirmative Action/Veterans/Disability Employer - Member FDIC

FNBO follows federal law regarding the use of marijuana (this applies to all non-California applicants)

Application Deadline:

All our jobs will be posted for a minimum of 5 calendar days.  Job postings may come down prior to 5 calendar days based on volume of applicants.