AmTrust Financial Services, Inc.

Senior Web & Marketing Analysis Manager

Job Locations US-OH-Cleveland
Requisition ID
JR1006096
Category
Marketing
Position Type
Regular Full-Time

Overview

This position will be hybrid out of our Cleveland, OH office (Monday through Thursday on site, Fridays work from home).

 

At this time, AmTrust is unable to accommodate candidates in temporary visa status such as OPT, F1-OPT, STEM-OPT, H1-B, etc. 

 

AmTrust Financial Services is seeking a Senior Marketing & Web Analyst to help build and scale a modern web analytics function. This role will focus on measuring and improving digital experiences across marketing and self-service journeys, helping business leaders make smarter, data-informed decisions that improve customer experience, increase digital adoption, and reduce operational friction. This is a highly visible role that combines hands-on analytics work with strategic problem solving. You’ll partner closely with marketing, product, UX, operations, claims, and technology teams to identify opportunities, uncover insights, and influence action. The ideal candidate is curious, technically savvy, business-minded, and comfortable operating in an evolving environment where they can help shape processes, standards, and measurement strategies from the ground up.

 

The expected salary range for this role is $120,000 - 140,000

 

Please note that the salary information shown above is a general guideline only. Salaries are based upon a wide range of factors considered in making the compensation decision, including, but not limited to, candidate skills, experience, education and training, the scope and responsibilities of the role, as well as market and business considerations.

Responsibilities

  • Analyze customer journeys across web and self-service experiences to identify friction points, drop-off trends, and optimization opportunities
  • Develop dashboards, scorecards, and recurring reporting for marketing and digital performance KPIs
  • Partner with stakeholders to define success metrics and measurement frameworks for customer experiences and campaigns
  • Use web analytics tools to evaluate user behavior, conversion funnels, engagement trends, and digital adoption
  • Support marketing attribution and campaign performance analysis across channels including email, paid media, SEO, and more
  • Collaborate with UX, product, and development teams to ensure analytics tracking requirements are properly implemented
  • Perform tagging audits and validate event tracking within GTM and GA4 environments
  • Translate complex data into actionable insights and executive-ready recommendations
  • Identify opportunities to improve self-service utilization and reduce reliance on call center or manual support channels
  • Assist in developing analytics standards, governance, and documentation as the analytics function matures
  • Support experimentation and test-and-learn initiatives by measuring outcomes and communicating results

 

Qualifications

Required 
  • 4+ years of experience in digital analytics, marketing analytics, web analytics, or related analytical roles
  • Strong experience with Google Analytics and Google Tag Manager or equivalent tools
  • Experience analyzing digital funnels, customer journeys, and website/app performance
  • Experience with SQL and/or Python for analysis
  • Proficiency with data visualization and reporting tools such as Looker Studio, Power BI, Tableau, or similar
  • Strong analytical and problem-solving skills with the ability to synthesize large data sets into clear business insights
  • Experience partnering cross-functionally with marketing, product, UX, and technology teams
  • Excellent communication and presentation skills
  • Ability to manage multiple priorities in a fast-paced environment
Preferred 
  • Experience in insurance, financial services, fintech, or other regulated industries
  • Familiarity with Contentsquare, Glassbox, Hotjar, or other behavioral analytics tools
  • Understanding of marketing measurement and attribution models
  • Experience working with call center, operational, or customer service metrics
  • Experience supporting experimentation or A/B testing programs

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