Find & Apply For E-Commerce Analyst Jobs In York, South Carolina
E-Commerce Analyst jobs in York, South Carolina involve analyzing online sales data, identifying trends, and optimizing websites for improved user experience. Responsibilities include monitoring website traffic, conducting market research, and collaborating with cross-functional teams to drive sales growth. Strong analytical skills and knowledge of e-commerce platforms are required for this role. Below you can find different E-Commerce Analyst positions in York, South Carolina.
Jobs in York
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.
Latest Jobs in York
Salary Information & Job Trends In this Region
E-Commerce Analysts in York, South Carolina play a crucial role in analyzing online sales data and trends to optimize e-commerce strategies and drive business growth. - Entry-level E-Commerce Analyst salaries range from $40,000 to $50,000 per year - Mid-career E-Commerce Strategist salaries range from $60,000 to $75,000 per year - Senior-level E-Commerce Manager salaries range from $80,000 to $100,000 per year The role of E-Commerce Analyst in York, South Carolina has evolved over the years to meet the demands of the digital marketplace. As e-commerce continues to expand, analysts are tasked with interpreting vast amounts of data to make strategic decisions for online sales. The history of E-Commerce Analysts in York, South Carolina dates back to the early days of online shopping when businesses first began to recognize the potential of selling products and services through the internet. As technology advanced, so did the role of the analyst, requiring a deeper understanding of consumer behavior and online marketing strategies. One of the current trends in the field of E-Commerce Analysts in York, South Carolina is the increasing focus on personalization and customer experience. Analysts are now utilizing data to create targeted marketing campaigns and improve the overall online shopping experience for customers. Additionally, the integration of artificial intelligence and machine learning is revolutionizing how analysts interpret data and make informed business decisions.
