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The Fountain Group

Web Analytics / Adobe Manager

This role is for a Web Analytics Manager in Lincolnshire, IL, requiring 5+ years of Adobe Analytics experience, leadership skills, and proficiency in Google Analytics. The contract lasts 2 months at $65-$71/hr, with a hybrid work schedule.
🌎 Country
United States
🏝️ Location
Unknown
πŸ“„ Contract
Unknown
πŸͺœ Seniority
Mid-Senior level
πŸ’° Range
100K+
πŸ’± Currency
$ USD
πŸ’Έ Pay
$65 - $71 (Hr.)
πŸ—“οΈ Discovered
July 29, 2025
πŸ“ Location detailed
Lincolnshire, IL
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🧠 Skills
#Google Analytics
Role description
β€’ β€’ No C2C allowed. W2 only β€’ β€’ We are a national staffing firm and are currently seeking a Web Analytics Manager for a prominent client of ours. This position is based in Lincolnshire, IL. Details for the position are as follows: Job Description: β€’ MUST HAVE ADOBE ANALYTICS EXP β€’ β€’ Pay: $65-$71/hr to start Duration: 2-month initial assignment with potential for extension based on performance and budget Schedule: Full-time (40 hours/week), hybrid model β€” 4 days onsite, 1 day remote Key Responsibilities: β€’ Collaborated with business stakeholders to develop web analytics strategies focused on customer behavior, traffic acquisition, website performance, and key performance indicators (KPIs) β€’ Managed a team of tagging engineers (functional/project-based) to ensure accurate eCommerce tagging for data collection and analysis β€’ Defined and maintained a clear product vision and roadmap for web analytics, while staying up to date on tools, trends, and best practices in digital marketing Qualifications: β€’ High school diploma or GED required; Bachelor’s degree a plus β€’ 5+ years of experience in Adobe Analytics conducting quantitative web analysis; certification preferred β€’ 1+ years in a leadership or team management role driving digital analytics solutions β€’ Proficient in Google Analytics, Rockerbox, and A/B testing methodologies β€’ Strong knowledge of site tagging, tracking pixels, eVars, props, and Customer Journey Analytics β€’ Experience with SQL, Excel, and Power BI for data analysis and visualization