We are seeking a highly motivated and analytical Data Analyst to join a Memphis based team. In this role, you will be responsible for collecting, analyzing, and interpreting complex data sets to identify trends, patterns, and insights. You will work closely with cross-functional teams to translate data into actionable recommendations that drive business decisions. Responsibilities: • Manage existing data functions, serving as a significant contributor to the product development process. • Collaborate effectively with business and technology teams to establish best practices, implement solutions, and address issues within set deadlines. • Deliver a wide range of market data, data engineering, and analyses to support research, investment, and client management processes. • Source data proactively and resolve data issues by liaising with internal and external partners promptly. • Contribute to ad-hoc reporting and analysis in response to requests from internal and external stakeholders. • Develop and maintain necessary documentation to support data functions. • Maintain a high level of professionalism and integrity when handling proprietary information. • Align your work approach with the principles of Value investing. • Utilize your skills in Analytics, Data Analysis, Data Analytics, FactSet, Bloomberg Terminal, Python, PowerShell Scripting, Microsoft Excel, SSRS, and SQL Server Reporting Services effectively. Qualifications: • Minimum of 2 years of experience working in a similar role within the Financial Services industry preferred. • Strong analytical skills, with a proven ability to interpret and analyze data. • Proficiency in Data Analysis and Data Analytics. • Experience with FactSet and Bloomberg Terminal. • Programming skills in Python and PowerShell Scripting. • Advanced Microsoft Excel skills, including pivot tables, vlookups, and macros. • Proficient in SSRS, SQL Server Reporting Services. • Demonstrated ability to work independently and within a team. • Excellent written and verbal communication skills. • Strong attention to detail and problem-solving capabilities. • Bachelor's degree in Finance, Computer Science, or a related field is required.
