Data Management Specialist/Data Analyst

For over 20 years, The AES Group has been a trusted technology staffing and services partner to some of the world’s most innovative enterprises. We bring businesses and talent together to deliver impactful cloud, data, AI, and digital solutions that transform organizations and create lasting value. 

At AES, we believe partnerships are the cornerstone of sustainable growth. By forging strategic alliances with IT staffing firms, MSPs and government prime contractors, we amplify our reach, deliver greater value to clients and accelerate innovation. Our success is built on collaboration, trust, and a shared commitment to solving complex workforce challenges together.

Objective

Manage partner data operations, execute regular PVI data refresh cycles, map multi-source partner Value Index data to Business Entity IDs (BEIDs), and maintain data quality, governance, and tracking across Developer and Advisor portfolios.

Key Responsibilities & Scope

• PVI Data Refreshes: Own, run, and monitor recurring PVI data refresh operations. Troubleshoot data discrepancies, fix synchronization issues across systems, and maintain pipeline reliability.
• Data Collection & Mapping: Gather Value Index data across structured databases and manual sources. Map partner accounts accurately to BEIDs and qualification codes.
• MDM Operations: Submit and manage cases in the Partner MDM (Manual Data Management) tool to associate proper codes with mapped partners; keep reconciliation logs up to date.
• Automation & Dashboard Tracking: Implement workflow automations using low-code/no-code tools (such as Microsoft Power Automate) or scripting to streamline recurring manual tasks. Maintain status dashboards for team and leadership visibility.
• Process Documentation: Document operating procedures and RACI workflows for data updates and ongoing governance.

Required Qualifications & Technical Skills

• Strong technical data management background with experience managing recurring data refresh cycles and structured data tables.
• Demonstrated ability to troubleshoot data synchronization discrepancies and resolve mapping issues independently.
• Familiarity with master data management (MDM) concepts and enterprise partner identifiers.
• Experience with low-code/no-code automation tools (e.g., Power Automate) or workflow scripting.
• Clear communication and stakeholder coordination skills.