Find & Apply For E-Commerce Analyst Jobs In Gwinnett, Georgia
E-Commerce Analyst jobs in Gwinnett, Georgia involve analyzing online sales data, monitoring website traffic, and identifying trends to improve overall e-commerce performance. Responsibilities may include creating reports, collaborating with marketing teams, and implementing strategies to increase conversion rates. Strong analytical skills and knowledge of e-commerce platforms are essential for success in this role. Below you can find different E-Commerce Analyst positions in Gwinnett, Georgia.
Jobs in Gwinnett
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Office Assistant
Unclassified
Gwinnett, GA
Ecommerce Specialist
Unclassified
Gwinnett, GA
E-commerce Business Operation Manager
Hisense
Gwinnett, GA
E-Commerce Selector – $16.50 – Norcross
Goodwill
Gwinnett, GA
Latest Jobs in Gwinnett
Salary Information & Job Trends In this Region
E-Commerce Analysts in Gwinnett, Georgia play a vital role in interpreting market data and guiding online business strategies. - Entry-level E-Commerce Analyst salaries range from $50,000 to $65,000 per year - Mid-career E-Commerce Analyst salaries range from $65,000 to $85,000 per year - Senior E-Commerce Manager salaries range from $85,000 to $120,000 per year The role of the E-Commerce Analyst in Gwinnett has a rich history, initially emerging with the rise of internet retail in the early 2000s. Local businesses quickly recognized the need for specialized skills to navigate the digital marketplace effectively. Over the years, the E-Commerce Analyst position in Gwinnett has evolved from basic data analysis to a more strategic role that includes market forecasting, customer behavior analysis, and campaign management. This evolution mirrors the growing sophistication of online consumer interactions and digital marketing tools. Current trends for E-Commerce Analysts in Gwinnett include a focus on big data analytics, the use of AI and machine learning to predict consumer trends, and an increased emphasis on cybersecurity measures to protect online transaction processes. These trends are indicative of the broader shifts in e-commerce towards more personalized and secure online shopping experiences.
