Start Date
Immediate
Expiry Date
12 May, 25
Salary
90000.0
Posted On
13 Feb, 25
Experience
4 year(s) or above
Remote Job
No
Telecommute
No
Sponsor Visa
No
Skills
Bing Ads, Salesforce, Web Analytics, Marketing Automation, Statistics, Data Science, Hubspot, Predictive Modeling, Economics, Data Visualization, Mathematics, Analytics, Google Analytics, Google
Industry
Marketing/Advertising/Sales
Envisionit, an award-winning digital marketing agency based in Chicago, is seeking an Senior Manager of Data & Analytics to join our growing team. Our clients span a number of industries including CPG, Emerging Tech & Tourism, and our teams boast many talents across the spectrum of digital. We firmly believe you should enjoy what you do every day, so we make passion a priority. You will work alongside a tight-knit bunch of seriously talented people who genuinely like each other, have fun and work hard for the collective success.
Qualifications
THE ROLE
The Senior Manager of Data & Analytics will bridge the gap between complex data analytics and effective marketing strategies for top brands. Reporting to the Head of Data & Analytics, this business-minded team player will be responsible for leading the end-to-end design & delivery of program data, measurement and testing strategies, and oversee Engineers on technology & dashboard needs required for program enablement. This role will work cross-functionally with internal creative, account, strategy and media team stakeholders and external clients to share data-driven insights that propel marketing initiatives, fuel business growth and make marketing investment decisioning easy.
Candidates should be effective communicators, results-oriented, solutions-driven and be able to drive insights into actions that tell a story and improve business outcomes. Business & marketing technology knowledge, data analysis and interpersonal skills are needed to thrive in this executive-facing position.
KEY RESPONSIBILITIES
Qualifications
The salary range for this position is $90,000 - 105,000 USD. This is a good-faith estimate of the base pay scale for this position and offers will ultimately be determined based on experience, education, skill set, and performance in the interview process.