Senior Analytics Lead – Growth Analytics / Data Scientist

Location: Morristown, NJ (Hybrid – 07962)

About the Company

We are a regional financial institution serving Consumer and Small Business customers across multiple U.S. states. Our growth strategy is driven by data, omni-channel engagement, and personalized customer experiences across both digital and traditional banking channels.

Role Summary

We are seeking a Senior Analytics Lead – Growth Analytics / Data Scientist to drive customer acquisition, revenue growth, and engagement through advanced analytics, experimentation, and applied AI. This is a senior, hands-on role that partners closely with Marketing, Retail Sales, and Business leadership to deliver actionable analytics solutions for lead generation, personalization, and omni-channel sales enablement.

This is not a reporting-only role. You will own analytics initiatives end-to-end — from problem framing and model development to deployment, measurement, and business impact.

Key Responsibilities

• Partner with Marketing, Retail Sales, and Business leaders to identify growth opportunities and define omni-channel analytics needs

• Design and implement analytics solutions supporting lead generation, personalization, and campaign performance measurement

• Apply advanced analytics, experimentation, and AI/ML techniques to drive customer acquisition and engagement strategies

• Develop and maintain dashboards and reporting frameworks for growth and sales enablement initiatives

• Define KPIs, forecasting models, and performance measurement frameworks to evaluate program success

• Conduct experimentation and A/B testing to validate strategies and optimize outcomes

• Translate business questions into analytical approaches and actionable insights

• Drive roadmap recommendations based on data insights and trend analysis

• Deliver end-to-end analytics solutions including reporting, lead analytics, and backlog prioritization

• Mentor analysts and promote a data-driven culture across business teams

• Present insights and recommendations clearly to senior stakeholders

Required Skills

• Strong hands-on expertise in:

  • SQL

  • Python (pandas, NumPy)

  • Power BI or Tableau

• Experience in data modeling, data preparation, and large-scale data analysis

• Practical experience applying AI/ML models to business problems

• Experience designing KPIs, forecasting, and performance measurement frameworks

• Hands-on experience running experiments and A/B tests

• Strong analytical reasoning and structured problem-solving skills

• Excellent communication and stakeholder engagement abilities

• Ability to work independently while collaborating across functions

• Working knowledge of banking data, systems, and processes

Required Experience

• Bachelor’s degree in a quantitative field (Data Science, Analytics, Mathematics, Engineering, Econometrics, or related discipline)

• 5+ years of hands-on experience in Data Analytics or Data Science roles

• Proven experience working directly with Marketing and/or Sales leaders

• Experience supporting Consumer or SMB growth initiatives

• Banking or Financial Services industry experience (Retail or Commercial)

• Demonstrated ability to influence business decisions through analytics

Must-Have Qualifications (Non-Negotiable)

Business & Domain

• Direct partnership with Marketing and/or Sales leadership

• Experience supporting customer or SMB growth programs

• Banking or financial services domain experience

Technical & Analytics

• Advanced SQL and Python analytics experience

• BI tools expertise (Power BI or Tableau)

• Applied AI/ML usage in production or business settings

• KPI design, forecasting, and performance tracking

• Experimentation and A/B testing experience

Delivery & Ownership

• End-to-end analytics solution ownership

• Ability to convert insights into actionable roadmaps

• Comfortable working independently with senior stakeholders

Seniority

• Minimum 5 years in analytics/data science roles

• Track record of driving decisions, not just reporting metrics

Preferred Qualifications (Nice to Have)

• Master’s degree in a quantitative discipline

• Personalization or recommendation model experience

• Lead generation and funnel analytics expertise

• Omni-channel analytics experience (digital, branch, call center)

• Product analytics background

• Agile or backlog management experience

• Experience mentoring analysts