Sr Marketing Manager

Job Title: Senior Marketing Manager - Marketing & Digital Analytics
Location: Camden, NJ (Hybrid - 3 days onsite)
Employment Type: 12-Month W2 Contract
Pay Rate: $50-$65/hour W2
Schedule: 37.5 hours/week (7.5 hours/day)
Start Date: Early-Mid December 2026, with flexibility for an earlier start
Benefits: Eligible for Health, Dental, Vision, 401K
Must be authorized to work in the U.S. This position is not eligible for sponsorship

About the Opportunity
We are seeking an experienced Senior Marketing Manager with a strong background in marketing analytics, digital performance, and executive-level data storytelling to support a leading organization.

This is a highly hands-on, individual contributor position focused on transforming complex marketing and digital data into meaningful business insights and actionable recommendations.

The ideal candidate brings a combination of strong analytical capabilities, advanced PowerPoint storytelling, exceptional attention to detail, and the ability to independently manage projects from start to finish.

Approximately 50% of the role will focus on data collection, cleaning, validation, and analysis, while the remaining 50% will focus on synthesizing findings, developing executive presentations, and communicating strategic recommendations.

Key Responsibilities
Marketing & Digital Analytics

Collect, clean, validate, and consolidate marketing and digital data from multiple sources, including web analytics, first-party data, research, sales, and external agencies.

Analyze marketing performance to identify trends, key performance drivers, opportunities, and areas for improvement.

Translate complex datasets into actionable insights and business recommendations.

Investigate data discrepancies, validate accuracy, and proactively identify opportunities to improve reporting processes.

Utilize existing Tableau, Power BI, and other analytics platforms to extract, interpret, and present data.

Support recurring reporting, dashboard maintenance, and ad hoc analytical requests.

Executive Reporting & Data Storytelling

Develop polished, executive-ready PowerPoint presentations that clearly communicate insights, trends, and recommendations.

Create compelling headlines, charts, and visualizations that simplify complex information for senior leadership.

Go beyond reporting metrics to explain the why behind performance and the broader business implications.

Develop clear, concise narratives that connect analytical findings to strategic business decisions.

Ensure all presentations and deliverables are accurate, visually polished, and easy to understand.

Cross-Functional Collaboration & Project Ownership

Partner with internal Marketing, Sales, Product, IT, and external agency teams to gather data, validate findings, and support business objectives.

Independently manage projects from initial data collection through final analysis and presentation development.

Collaborate with stakeholders to identify business questions, investigate findings, and recommend next steps.

Proactively anticipate project needs, manage priorities, and deliver high-quality work with minimal oversight.

Identify opportunities to streamline reporting, improve data quality, and increase operational efficiency.

Required Qualifications

10+ years of experience in marketing analytics, digital analytics, business intelligence, business insights, or a closely related field.

Previous experience operating at a senior or manager-level capacity, with the ability to work independently.

Strong understanding of marketing and digital performance metrics, data analysis, and business insights.

Demonstrated experience combining disparate datasets, cleaning information, and validating data accuracy.

Advanced PowerPoint skills, with proven experience creating executive-level presentations, compelling visualizations, and clear data-driven narratives.

Strong proficiency with Tableau or comparable analytics and visualization platforms.

Experience using Power BI, particularly extracting and interpreting information from existing dashboards.

Familiarity with Adobe Analytics, Google Analytics, or comparable digital analytics platforms.

Advanced Excel and Microsoft Office skills.

Ability to interpret complex data and translate findings into meaningful business recommendations.

Experience presenting analytical findings to senior leadership and non-technical stakeholders.

Strong communication, critical thinking, organizational, and problem-solving skills.

Ability to produce polished deliverables and manage competing priorities with minimal direction.

Preferred Qualifications

Previous experience within an agency environment, particularly developing client-facing analytics, presentations, and recommendations.

Experience within automotive, financial services, pharmaceutical, manufacturing, or other large enterprise environments.

SQL experience for querying, combining, or manipulating data.

Familiarity with Python, R, or other data analysis and automation tools.

Exposure to Profound AI or emerging analytics platforms.

Experience working with customer research, consumer insights, survey data, or satisfaction studies.

Familiarity with statistical methods, including segmentation, regression, or forecasting.

Experience presenting insights to global or international executive audiences.

Bachelor's degree in Marketing, Business Analytics, Data Science, Statistics, or a related field; advanced degree preferred.

Ideal Candidate Profile

Analytical and intellectually curious: Goes beyond surface-level metrics to investigate trends, identify root causes, and uncover meaningful insights.

An exceptional storyteller: Can turn complex data into clear, compelling presentations that influence business decisions.

Independent and proactive: Takes ownership of projects, anticipates next steps, and requires minimal oversight.

Detail-oriented: Maintains accuracy across data analysis, reporting, and final presentation materials.

Confident and experienced: Comfortable communicating recommendations to senior stakeholders.

Adaptable and resourceful: Able to navigate ambiguity, learn new systems, and thrive within a lean, collaborative team.

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