Data Analyst

Meridian Sterling Corp. is seeking a Data Analyst in St. Louis, MO. This full-time position involves analyzing complex data to support business decisions. As a Data Analyst, you will collect, process, and analyze large datasets, performing statistical analyses and creating reports and dashboards to visualize trends. You will collaborate with a diverse team of professionals in St. Louis, Missouri, where you will utilize various data analysis tools and software to gather, process, and interpret data. Your primary tasks will involve conducting market research, analyzing consumer behavior, and creating comprehensive reports to support data-driven decision-making. You will work closely with team members from different departments, such as marketing, sales, and operations, to ensure that your insights are effectively communicated and utilized. The role requires a strong understanding of data analytics principles and the ability to work efficiently with large datasets. You will need to stay updated with the latest industry trends and technologies to provide accurate and valuable insights to the team. The workplace is modern and equipped with the necessary tools to support your work, including high-performance computers, data visualization software, and collaborative platforms. This role offers a attractive compensation ranging from $158,000 to $172,179 per year, with comprehensive benefits including health insurance, retirement plans, and paid time off. The position requires a bachelor's degree in a relevant field and typically involves managing a team of professionals, overseeing project timelines, and ensuring the successful completion of assigned tasks. The workplace is typically an office environment, although some flexibility may be available for remote work. The role demands strong communication skills, proficiency in project management tools like Microsoft Project or Asana, and the ability to adapt to changing priorities and deadlines. Candidates should be detail-oriented and have a proven track record of achieving project goals within budget and on schedule. Candidates should have a bachelor's degree in a related field and 2-4 years of experience in data analysis. Proficiency in SQL, Python, and Excel is required, along with strong analytical and problem-solving skills. Analyzing large datasetscreating reports and dashboardsproviding data-driven insightscollaborating with cross-functional teams Bachelor's degree in a related field 2-4 years of experience in data analysisproficiency in SQLPythonand Excelstrong analytical and problem-solving skillsability to communicate insights effectively