Marketing Ops Specialist: AI, Analytics & Automation

Waites Sensor Technologies, Inc.; Cincinnati (OH); On-site; USD 60,000 - 78,000; Full time

Job summary

Waites Sensor Technologies, Inc. is seeking a Marketing Operations Specialist to optimize marketing technology, automation, and analytics. You will manage HubSpot and BI dashboards, enhance lead scoring and routing, and drive data-driven decisions across campaigns and website operations.

The role blends marketing tech with analytics and AI-driven process improvement. We value curiosity, systems thinking, and the ability to translate data into actionable insights.

Qualifications

• Bachelor's degree in Marketing, Business, Analytics, Information Systems, or related field.
• 2–5 years of experience in marketing operations, marketing analytics, digital marketing, or marketing technology.
• Experience with HubSpot or another CRM and marketing automation platform.
• Experience building dashboards using HubSpot, Looker Studio, Power BI, Tableau.
• Strong analytical skills and ability to translate data into insights.
• Interest in AI tools and continuous learning.

Responsibilities

• Support and optimize marketing technology and systems across teams.
• Build and maintain marketing automation workflows, forms, landing pages, and emails.
• Improve lead scoring, routing, segmentation, and data quality.
• Own and optimize the company website for lead generation and UX.
• Document marketing processes and operational workflows.
• Build dynamic dashboards to connect marketing to pipeline and revenue.
• Identify opportunities to leverage AI to improve productivity.

Tools

HubSpot

Looker Studio

Power BI

Tableau

AI tools

Job description

Waites Sensor Technologies, Inc. is seeking a Marketing Operations Specialist to optimize marketing technology, automation, and analytics. You will manage HubSpot and BI dashboards, enhance lead scoring and routing, and drive data-driven decisions across campaigns and website operations.

The role blends marketing tech with analytics and AI-driven process improvement. We value curiosity, systems thinking, and the ability to translate data into actionable insights.