Find & Apply For Business Intelligence Analyst Jobs In Horry, South Carolina
Business Intelligence Analyst jobs in Horry, South Carolina involve analyzing data to provide insights for business decisions. Responsibilities include collecting, interpreting, and reporting data to improve operational efficiency. Candidates must have strong analytical skills, proficiency in data visualization tools, and a Bachelor's degree in a related field. Below you can find different Business Intelligence Analyst positions in Horry, South Carolina.
Jobs in Horry
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 Horry
Salary Information & Job Trends In this Region
Business Intelligence Analysts in Horry, South Carolina play a crucial role in analyzing data to help businesses make informed decisions. - Entry-level Business Intelligence Analyst salaries range from $50,000 to $60,000 per year - Mid-career Business Intelligence Analyst salaries range from $70,000 to $80,000 per year - Senior-level Business Intelligence Analyst salaries range from $90,000 to $100,000 per year The role of a Business Intelligence Analyst in Horry, South Carolina has a rich history dating back to the early days of data analysis and reporting. As businesses began to realize the importance of data-driven decision-making, the demand for skilled analysts grew significantly. Over time, the role of a Business Intelligence Analyst has evolved to encompass not only data analysis but also data visualization, predictive analytics, and strategic planning. With advancements in technology and an ever-increasing amount of data available, Business Intelligence Analysts have adapted to new tools and techniques to extract valuable insights. Current trends in the field of Business Intelligence in Horry, South Carolina include a focus on real-time data analysis, machine learning algorithms, and the integration of artificial intelligence. Business Intelligence Analysts are also increasingly being called upon to interpret data in a way that is easily understandable to non-technical stakeholders, highlighting the importance of effective communication skills in this role.
