Marketing Operations Manager
Woolpert
Dayton, OH (Remote)
$101K/yr - $114K/yrIn-houseFull-timeSenior level8+ years exp.
20 hrs ago
Sr. B2B Marketing Operations Analyst (Experienced Level Professional)
Greenville, SC (Hybrid)
Salary Not AvailableSenior Level3+ years expOther
Posted 2 months ago
Top 1% of applicants do these two things.
The other 99% submit and hope. You're about to do something different.
Job Summary
Own the data-to-insights loop for marketing analytics, turning Salesforce, Marketing Cloud journeys, and the data lake into actionable performance bets across campaigns and revenue impact.
- Requirements: Own dashboards and executive reporting to connect marketing activity to pipeline and revenue, with mastery of Salesforce data, SQL, and BI tools.
- Preferred: Collaborate with cross-functional teams to automate reporting, enable AI use cases, and build scalable analytics capabilities for better decisioning.
Job Description
Requirements
- 3+ years of experience in digital marketing analytics, business analytics, or a related field
- Strong understanding of marketing performance measurement and customer journeys
- Proven ability to connect marketing activity to revenue and business outcomes
- Power BI (preferred): dashboard creation, automated reporting, and semantic model knowledge
- Salesforce + SQL/SOQL: ability to pull, structure, and analyze CRM and revenue data
- Python/RStudio (preferred): data manipulation, automation, and large dataset analysis
- Databricks (strong plus): using Python/SQL to work with enterprise data lake data
- Cloud AI platforms: experience with Azure, AWS, or GCP (AI/ML services and deployment patterns)
- LLMs & Agentic AI: familiarity with AI agents, automation, and tools like LangChain
- Data platforms: experience working with enterprise data lakes (e.g., Azure Data Lake)
Preferred
- Power BI (preferred)
- Databricks (strong plus): using Python/SQL to work with enterprise data lake data
- Python/RStudio (preferred): data manipulation, automation, and large dataset analysis
- Databricks (strong plus): using Python/SQL to work with enterprise data lake data
- Cloud AI platforms: experience with Azure, AWS, or GCP (AI/ML services and deployment patterns)
- LLMs & Agentic AI: familiarity with AI agents, automation, and tools like LangChain
- Data platforms: experience working with enterprise data lakes (e.g., Azure Data Lake)
- Excel: strong skills in data analysis, pivot tables, and formulas
Michelin
Michelin is a world-leading manufacturer of life-changing composites and experiences. Pioneering materials science over more than 130 years, Michelin is uniquely positioned to make decisive contributions to human progress and a more sustainable world.Drawing on technological leadership in polymer composites, Michelin is constantly innovating to manufacture high-quality tires and components for critical applications in demanding fields as varied as mobility, construction, aeronautics, low-carbon energies, and healthcare.The care we put into our products and our intimate knowledge of consumer habits enable Michelin to offer its customers exceptional experiences, whether in terms of connected solutions and artificial intelligence for professional fleets, or for discovering the outstanding restaurants and hotels that the MICHELIN Guide recommends.
