Find & Apply For E-Commerce Analyst Jobs In Laurens, South Carolina
E-Commerce Analyst jobs in Laurens, South Carolina involve analyzing online sales data, tracking website traffic, and implementing strategies to increase revenue. Responsibilities include monitoring market trends, optimizing user experiences, and collaborating with cross-functional teams. Strong analytical skills, proficiency in data analysis tools, and a bachelor's degree in business or related field are typically required. Below you can find different E-Commerce Analyst positions in Laurens, South Carolina.
Jobs in Laurens
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 Laurens
Salary Information & Job Trends In this Region
E-Commerce Analysts in Laurens, South Carolina are professionals who analyze online consumer behavior and trends to optimize e-commerce strategies for businesses. - Entry-level E-Commerce Analyst salaries range from $45,000 to $55,000 per year - Mid-career E-Commerce Specialist salaries range from $55,000 to $70,000 per year - Senior-level E-Commerce Manager salaries range from $70,000 to $90,000 per year The role of E-Commerce Analyst in Laurens, South Carolina has a rich history dating back to the early days of online shopping and digital commerce. As technology has advanced, so has the role of the E-Commerce Analyst, with a focus on data-driven decision-making and customer-centric strategies. In Laurens, South Carolina, the evolution of the E-Commerce Analyst role has been shaped by the increasing importance of online sales and the need for businesses to adapt to digital trends. E-Commerce Analysts now play a crucial role in driving revenue and growth through online channels. Current trends in the field of E-Commerce Analysis in Laurens, South Carolina include a focus on personalization, mobile optimization, and omnichannel strategies. E-Commerce Analysts are also increasingly utilizing artificial intelligence and machine learning to enhance the customer experience and drive sales.
