Analyst, Data Analytics

Raymond James•Saint Petersburg, FL

1d•Hybrid

About The Position

This position will follow our hybrid work model; we expect the selected candidate to work 3 days a week at one of our corporate offices in Saint Pete, FL, Memphis, TN or Southfield, MI. Please note: This role is not eligible for Work Visa sponsorship, either currently or in the future. The Advisor, Data Analytics is responsible for transforming data into actionable insights that support strategic decision-making across Human Resources. The Advisor partners with stakeholders to analyze workforce and business data, identify trends, improve data quality, and deliver meaningful reporting solutions that align with enterprise data strategy objectives. This role serves as a key resource for data analysis, governance, and reporting, leveraging statistical techniques and data discovery tools to ensure the accuracy, integrity, and value of HR data. The Advisor supports the full data lifecycle, from data acquisition and validation through analysis and visualization, while identifying opportunities for process improvement and operational efficiency. Through strong analytical skills and effective communication, the Advisor helps turn complex data into clear insights that drive informed business decisions.

Requirements

Intermediate knowledge of effective communication with business users of data
Intermediate knowledge of data models, data mining and segmentation techniques.
Familiar with PL SQL and MS SQL databases, able to run SQL queries
Experience using software packages (MS Access, Pivot Tables) for analyzing large datasets.
Experience running queries, report writing and presenting findings.
Bachelor's degree in Computer Science, Information Systems, Business Analytics, Business, or a related field.
Typically requires 0-2 years of relevant experience in data analysis, reporting, data management, or business intelligence.

Nice To Haves

Experience in the financial services industry preferred but not required
Exposure to SQL, data visualization, reporting tools, and data quality processes preferred.
Financial services industry experience is beneficial but not required.

Responsibilities

Communicates effectively with internal advisors to address questions regarding data discrepancies
Interprets data and analyzes results using statistical techniques.
Develops and implements data collection systems and other strategies that optimize statistical efficiency and data quality.
Acquires data from primary or secondary data sources and maintains databases and data systems.
Identifies, analyzes, and interprets trends or patterns in complex data sets.
Filters and “cleans” data, reviews computer reports, printouts and performance indicators
Profiles data sources using SQL and other data discovery tools in support of data quality analysis
Locates and defines new process improvement opportunities.
Partners with team members to develop project schedules, reports and documentation.
Performs other duties and responsibilities as assigned.