Investment Data Analyst at The Hartford in Wayne, PA

Summary: The Hartford is an insurance company that strives to make a difference by providing opportunities for employees to achieve their goals. The Investment Data Analyst will drive and enhance data automation within the Hartford Funds Investment Management Group, focusing on centralizing consumable data and maintaining data consistency and accuracy. Responsibilities: - Maintain and enhance existing reporting functions by leveraging the in-house Data Warehouse and AI tools where applicable - Serve as the Investment Management Group data steward for the Data Warehouse - Serve as the main point of contact for standardizing and automating reporting across the team - Handle data requests from within and outside of the team including support of sales, marketing, and senior leadership - Work with IT to ensure a high level of quality for internal and external data - Work with IT to manage data processes among software vendors, internal data warehouse, and data providers - Oversee the maintenance and ongoing development of the Investment Research Library (SharePoint) - Produce and maintain Performance and Performance Attribution reports - Assist in preparing and manipulating data sets for potential file feed transmissions through AI Required Qualifications: - Bachelor's Degree in Finance, Business Analytics, Statistics, Mathematics, or Computer Science required - Flexible and able to accept, create and manage change - Ability to work well independently and within a team - An eagerness to identify and implement process improvement opportunities - Interest in creative resolutions to complex assignments - Excellent communication skills - Strong organizational and prioritization skills - Experience with data visualization tools such as Tableau or PowerBI - Proficient in Microsoft Office, specifically Excel. Visual Basic (VBA) experience a plus - Working knowledge of Morningstar, Lipper, Bloomberg or Factset an advantage - Experience working with structured data using a modern scripting language, preferably R, Python, SQL or SAS Required Skills: Data visualization tools, Structured data analysis, Microsoft Excel Important Skills: Scripting languages Nice-to-Have Skills: Process improvement Benefits: Short-term or annual bonuses, Long-term incentives, On-the-spot recognition