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The Commercial Marketing Analytics Lead will serve as a single point of contact (SPOC) for Commercial Marketing and support Marketing Growth Strategists and Marketing leadership with data, analytics, insights, and recommendations that improve marketing’s performance in driving acquisition, cross-sell, and retention. This role will require supporting Enterprise Marketing with pre-campaign sizing, empirically sound test designs, statistically sound analyses, measurement, and unlocking optimization opportunities.
Key Responsibilities:
Partner with marketing stakeholders and business teams to understand key objectives and business requirements.
Assess and compile available data for analysis from structured and unstructured sources, extracting relevant insights and implementable solutions for our marketing partners.
Leverage customer and prospect data sets to facilitate sizing, measurement, analysis, and reporting.
Partner with marketing growth strategists to support email, webinars, paid digital, and owned channel strategies by providing insights on channel effectiveness and customer and prospect behavior.
Develop and enhance dashboards, reports, and visualizations to support decision-making.
Develop and refine key performance indicators to measure the success of key initiatives across multiple channels.
Document and communicate technical/analytic results, insights, and recommendations to both technical and non-technical audiences.
Collaborate with data scientists, analysts, and data management specialists across different teams to brainstorm solutions, understand data availability and tools, provide project updates, and share ideas.
Our preference would be to have a chosen candidate with onsite capabilities in the greater Boston MA, Columbus OH, Charlotte NC or New York NY areas, however we are open to remote employment within the United States for the ideal candidate.
Desired Profile:
8+ years of experience in quantitative analytics including marketing analytics, financial modeling, applied statistics, or equivalent.
5+ years of experience in Python, SQL and/or related programming languages.
3+ years of experience in Salesforce.
Experience or exposure to data and analytics in banking and/or financial Services industry; understanding of Commercial banking relationships across various products preferred.
Experience with marketing measurement, campaign sizing, customer segmentation, and experimental test design.
Experience in analyzing data from multiple marketing channels, email, paid digital, webinars, and owned channels.
Strong written and verbal communication skills required with an ability to successfully communicate analytic results, insights, and resulting business implications to non-technical business partners.
Strong sense of ownership, relentless curiosity and self-driven approach to problem solving.
Education:
Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or similar quantitative field required; Master’s degree preferred.
Compensation Range:$140k-$160k
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