Responsibilities

• Lead digital channel performance analytics across owned and paid channels, monitoring acquisition, engagement, conversion, and funding outcomes.
• Develop and maintain funnel analytics frameworks to pinpoint drop-offs and prioritize conversion opportunities across journeys.
• Partner with Digital Product and Marketing teams to assess customer experiences across acquisition paths and recommend improvements that increase conversion efficiency.
• Establish performance measurement standards and key performance indicator frameworks spanning impressions, clicks, applications, approvals, account openings, funding, and customer value.
• Leverage behavioral, channel, and customer-level data to uncover drivers of performance and optimize targeting, creative strategy, and channel investment.
• Design and deliver test-and-learn measurement approaches (including attribution and journey measurement) to quantify impact and inform decisions.
• Build repeatable datasets and automation-friendly outputs to accelerate reporting, analysis, and insights delivery.
• Develop and implement data management strategies for marketing execution, including automated operational reporting and data quality monitoring.
• Implement proactive issue detection (alerts and anomaly flags) to protect delivery, measurement integrity, and performance.
• Collaborate with Product and Technology to define requirements for platform enhancements and system implementations, with measurable outcomes and clear controls.

Requirements

• Bachelor’s degree in Data Science, Statistics, Information Systems, or a related field.
• Experience delivering digital marketing analytics and funnel measurement, including conversion optimization and web/app analytics.
• Ability to translate complex analyses into actionable recommendations that improve acquisition performance and business outcomes.
• Proficiency with data querying and analysis tools such as SQL and Python.
• Experience using analytics and visualization tools such as Excel and Tableau (or equivalent).
• Familiarity with digital analytics platforms such as Adobe Analytics (or equivalent enterprise measurement solutions).
• Demonstrated ability to build repeatable datasets, standardized outputs, and automation-friendly reporting.

Benefits

• We offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.