In this role, you will leverage data-driven insights to optimize customer onboarding, application processing, and servicing efficiency for a financial client. This position is ideal for a professional passionate about using data to improve processes and outcomes in a lending operations setting.

Key Responsibilities:

• Conduct detailed pricing analyses for direct mail, digital, and partner channels to understand customer response, profitability, and conversion trends.
• Build and maintain automated dashboards and reporting tools to monitor the performance of pricing and offers in marketing campaigns.
• Develop test-and-learn pricing strategies by designing experiments, analyzing results, and identifying actionable insights.
• Collaborate cross-functionally with marketing, data science, and finance teams to ensure pricing decisions align with customer value and overall business objectives.
• Automate workflows to enhance offer targeting, pricing accuracy, and operational efficiency utilizing tools such as SQL, Python, or R.
• Prepare and maintain documentation and controls for pricing logic, segmentation rules, and automation processes.

Qualifications:

• Bachelor’s degree in Marketing Analytics, Data Science, or a related field.
• 5+ years of experience in marketing analytics, pricing analytics, or performance reporting, ideally within financial services or digital marketing.
• Proficiency in SQL and at least one scripting language (e.g., Python, R) to extract and automate data processes.
• Hands-on experience with data visualization tools such as Tableau or Power BI.
• Strong understanding of pricing strategy, A/B testing methodologies, and ROI measurement.
• Familiarity with cloud data environments like Snowflake or AWS Redshift is a plus.
• Ability to analyze Marketing P&L to ensure alignment with business objectives and profitability targets.