Analyst III - Data Analysis

Company Description

Taylor & Company is a management consulting firm that supports organizations in improving performance and achieving strategic objectives. The company partners with clients across industries to analyze operations, identify opportunities, and implement data-driven solutions. Team members collaborate closely with stakeholders to design tailored approaches that address specific business challenges. Taylor & Company values analytical thinking, clear communication, and measurable results, offering professionals the chance to contribute directly to organizational success.

Role Description

The Analyst III – Data Analysis is a full-time, remote role responsible for delivering advanced analytical support to consulting projects. This role involves collecting, cleaning, and interpreting complex data sets, building data models, and applying statistical methods to uncover trends, patterns, and insights that inform client recommendations. The analyst will prepare clear visualizations and reports, contribute to the design of performance metrics, and support the development of evidence-based strategies. Day-to-day activities include collaborating with consultants and client stakeholders, validating data quality, documenting methodologies, and presenting findings in concise, understandable formats. The role requires independent work as well as effective participation in distributed project teams.

Qualifications

• Strong Analytical Skills with the ability to translate complex data into actionable insights.
• Proficiency in Data Analytics and Data Modeling to support forecasting, scenario analysis, and performance measurement.
• Solid understanding of Statistics, including hypothesis testing and regression or similar techniques.
• Effective Communication skills for explaining technical concepts to non-technical audiences and collaborating with cross-functional teams.
• Experience with data analysis tools (e.g., Excel, SQL, Python, R, or BI platforms such as Power BI or Tableau).
• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Data Science, Economics, Engineering, or related discipline; an advanced degree is a plus.
• Demonstrated experience in a data-focused role, preferably within consulting, professional services, or a similar analytical environment.
• Ability to work independently in a remote setting, manage multiple priorities, and meet deadlines with attention to detail.