People Services & Solutions Application Management Analyst | PGIM Ireland at Prudential Financial in Letterkenny

Job description

A GLOBAL LEADING ASSET MANAGER WITH A DIVERSE & INCLUSIVE CULTURE As the Global Asset Management business of Prudential Financial, Inc. (PFI), we’re always looking for ways to improve financial services. We’re passionate about making a meaningful impact - touching the lives of millions and solving financial challenges in an ever-changing world. We also believe talent is key to achieving our vision and are intentional about building a culture on respect and collaboration. When you join PGIM, you’ll unlock a motivating and impactful career – all while growing your skills and advancing your profession at one of the world’s leading global asset managers! If you’re not afraid to think differently and challenge the status quo, come and be a part of a dedicated team that’s investing in your future by shaping tomorrow today. At PGIM, You Can! What you can expect: The People Services & Solutions Application Management Analyst will support the design, implementation, testing, documentation, and ongoing maintenance of integrations across the People Team technology ecosystem while also serving as a key partner in employee data analysis and data quality management. This role collaborates with the People Team, Global Technology, Third-Party Vendors, and Business Stakeholders to ensure employee data is accurate, secure, and reliable across systems and reporting platforms. The analyst will help investigate employee and participant data issues, perform data validation and analysis, identify trends and root causes, and recommend improvements that enhance data quality, operational efficiency, and the employee experience. Location: This role will be hybrid, 2 days a week in our Letterkenny office. What you will do: Partner with business and global technology stakeholders to gather, clarify, and document business requirements in support of integration solutions, data analysis needs, and reporting outputs. Assist with evaluating the impact of system changes and enhancements on upstream and downstream integrations, data quality, reporting, and analytics outputs while helping identify potential risks or dependencies. Support integration delivery activities, including requirements documentation, data mapping, data validation, testing support, user acceptance testing (UAT), deployment readiness, and production validation. Support reporting and data audit activities by validating employee data, reconciling discrepancies, and providing insights that help improve operational effectiveness and the overall employee experience. Analyze integration files, reports, and recurring data issues to improve data quality, strengthen controls, reduce manual effort, and support informed business decision-making. What you will bring: Bachelor's degree in Human Resources, Business, Information Technology, Finance, Data Analytics, or a related field or equivalent experience. 3+ years of experience with employee data, HR business processes, enterprise HR technology concepts, and basic data analysis practices. Experience working with Workday or similar enterprise HR systems, including reporting, data validation, testing, troubleshooting, and/or operational support. Ability to communicate clearly with technical and non-technical stakeholders and translate business needs into clear documentation. Strong analytical, problem-solving, attention to detail, data review, and documentation skills. Experience supporting integration initiatives or system changes through requirements gathering, user acceptance testing (UAT), issue tracking, deployment, and post-production support. What will set you apart? Exposure to HR technology ecosystems, including integrations across HRIS, payroll, benefits, talent, learning, time and absence, and vendor platforms. Experience with data mapping, file feeds, integration monitoring, data validation, issue logs, reporting outputs, or ticketing tools. Curiosity and a continuous improvement mindset with a willingness to learn new systems, tools, data an