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:

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

Qualifications:

1. Bachelor’s degree in Marketing Analytics, Data Science, or a related field.
2. 5+ years of experience in marketing analytics, pricing analytics, or performance reporting, ideally within financial services or digital marketing.
3. Proficiency in SQL and at least one scripting language (e.g., Python, R) to extract and automate data processes.
4. Hands-on experience with data visualization tools such as Tableau or Power BI.
5. Strong understanding of pricing strategy, A/B testing methodologies, and ROI measurement.
6. Familiarity with cloud data environments like Snowflake or AWS Redshift is a plus.
7. Ability to analyze Marketing P&L to ensure alignment with business objectives and profitability targets.

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