Senior Lead, Marketing Analytics, Data Science

This is a fully remote position, open to applicants in New Jersey, +1 more state.

📋 Description

• Oversee the development of marketing measurement frameworks and attribution methodologies that assess marketing's impact on pipeline, revenue, and overall business growth.

• Create and assess multi-touch attribution models, influence measurement strategies, and channel contribution frameworks to inform investment choices and optimize budgets.

• Identify gaps in measurement and propose enhancements for data collection, metadata strategies, campaign tagging, and platform integrations.

• Design and build predictive models such as response scoring, buyer propensity models, lead prioritization, audience engagement models, and lifecycle analysis.

• Utilize statistical techniques, machine learning methods, and AI-driven approaches on marketing and sales data.

• Convert analytical results into actionable recommendations that enhance conversion rates, pipeline development, audience engagement, and marketing ROI.

• Create audience segmentation frameworks that support account-based marketing, customer growth, digital engagement, and personalized campaigns.

• Examine customer, account, behavioral, technographic, and engagement data to uncover growth possibilities.

• Act as a subject matter expert in advanced analytics, marketing measurement, and data science within the marketing domain.

• Assess new analytical techniques, AI capabilities, and measurement methodologies.

• Communicate analytical insights and strategic recommendations to senior marketing executives and stakeholders.

• Collaborate with marketing leadership, campaign teams, digital teams, operations, sales, and data engineering.

⛳️ Requirements

• Bachelor’s degree in Data Science, Analytics, Statistics, Economics, Mathematics, Computer Science, Business, or a related discipline.

• Over 5 years of experience in marketing analytics, data science, revenue operations, business analytics, or similar analytical fields.

• Advanced SQL expertise with a track record of working with large and complex datasets.

• Strong skills in Python, R, or other comparable analytical and visualization tools.

• Experience in developing predictive models, scoring methodologies, segmentation frameworks, or statistical analyses for business decision-making.

• Comprehensive understanding of attribution methodologies, funnel measurement, and marketing performance assessment.

• Familiarity with CRM, marketing automation, data warehousing, and digital measurement platforms.

• Capability to independently scope, lead, and deliver intricate analytical projects from problem identification to implementation.

• Excellent communication and data storytelling abilities with the capacity to influence senior stakeholders.

• Experience utilizing AI and machine learning techniques to automate analyses, expedite insight generation, or enhance business results.

• Master’s degree in Data Science, Analytics, Statistics, Economics, Mathematics, Computer Science, Business, or a related field is preferred.

• Proficiency in Power BI is preferred.

🏝️ Benefits

• Employee learning programs providing access to industry learning and certifications from providers such as Microsoft, Google, Amazon, Skillsoft, and more.

• Company-wide volunteering and giving platform.

• Opportunities to donate, initiate fundraisers, volunteer, and explore over 2 million non-profit organizations.

• Employee benefits designed to offer choice and support for employees and their families.

• Medical or religious accommodations for eligible employees regarding vaccination requirements.