Product Analytics - Engagement Manager

On-siteMidAnalytics Engineerposted 2mo ago

✦Role summaryAI-generated

This role requires a hands-on analytics leader to drive recurring reporting, funnel diagnostics, and performance impact assessments for customer acquisition and engagement metrics, bridging data insights with cross-functional stakeholders like Product and Finance. The ideal candidate will balance technical rigor in anomaly detection and root-cause analysis with collaborative problem-solving to optimize digital journeys and validate business decisions.

Skills required

SQL Tableau powerbi Funnel analysis Anomaly detection Impact sizing Forecast validation Customer journey mapping Data incident root cause Recommendation systems Python R Stakeholder management

About this role

We are seeking a hands-on Product Analytics Engagement Manager to own product performance analytics across customer acquisition and engagement journeys. The role will focus on recurring reporting, funnel and channel analytics, anomaly investigation, impact sizing, and ad-hoc business analysis.

Responsibilities

Own weekly and monthly reporting across eligibility, impressions, applications, submissions and conversion.
Build and maintain end-to-end funnel and channel reporting across digital journeys.
Analyze customer journeys to identify drop-offs, friction points and performance trends.
Investigate anomalies and perform root-cause analysis across key product and channel metrics.
Quantify the impact of product bugs, system issues and data incidents.
Partner with Finance to validate forecasts, assumptions and performance variances.
Conduct ad-hoc deep dives for Product, Credit, Risk, Fraud and other stakeholders.
Develop dashboards and measurement frameworks for product and funnel performance.
Translate findings into clear business insights and recommendations.

Qualifications

7+ years of experience in Product Analytics, Digital Analytics, Funnel Analytics, Growth Analytics or Customer Journey Analytics.
Strong proficiency in SQL; working knowledge of Python, R or similar tools.
Strong understanding of customer funnels, conversion metrics and digital journeys.
Experience with recurring reporting, dashboards and analytical pipelines.
Strong root-cause analysis and problem-solving skills.
Experience with forecasting, variance analysis and impact assessment.
Experience with web analytics tools such as HEAP, Google Analytics or similar is preferred.
Strong communication and stakeholder management skills.
Master’s degree in a quantitative discipline; strong BA/BS candidates with relevant experience may also be considered.