Sr Marketing Manager
Camden, NJ, 08103
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.
- 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.
- 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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