Analyst III - Data Analysis

Company Description Taylor & Company provides management consulting services to help organizations improve performance and achieve strategic objectives. The firm partners with clients across industries to analyze operations, identify opportunities, and implement data-driven solutions. Team members collaborate closely with stakeholders to address complex business challenges and deliver measurable results. Taylor & Company values analytical rigor, client service, and continuous improvement, offering professionals the opportunity to work on impactful projects in a supportive environment.Role Description The Analyst III – Data Analysis role is a full-time remote position focused on delivering data-driven insights for client engagements. In this role, the analyst collects, cleans, and organizes data from multiple sources, builds data models, and applies statistical methods to support consulting recommendations. The analyst prepares dashboards, reports, and visualizations that clearly communicate findings to internal teams and client stakeholders. Daily responsibilities include collaborating with consultants on project requirements, validating data quality, documenting methodologies, and presenting analytical outcomes in a clear and actionable way. The role also involves contributing to best practices for data analysis and supporting continuous improvement of analytical tools and processes.Qualifications Candidates should possess strong Analytical Skills and proficiency in Data Analytics.Candidates should possess knowledge of Statistics and experience applying statistical techniques to business data.Candidates should possess experience in Data Modeling, including structuring datasets and building analytical models.Candidates should possess clear and professional Communication skills for explaining complex findings to non-technical audiences.Relevant qualifications include experience with data analysis tools (e.g., Excel, SQL, BI platforms), strong attention to detail, and problem-solving capabilities.Preferred qualifications include a bachelor’s degree in a quantitative field (such as Data Science, Statistics, Economics, or Business) and prior experience in consulting or a data-focused role.