Senior IT Data Analyst

Fidelity Investments•Durham, NC

About The Position

The Senior Data Analyst supports client implementations and internal migration projects within the Health & Welfare organization. The role analyzes complex data, identifies and resolves data issues, supports data conversion activities, and ensures accurate migration of client and platform data into Fidelity systems. The analyst partners with clients, prior record keepers, business stakeholders, and operational teams while managing multiple concurrent projects and evolving business requirements. The Data Conversion and Implementation team onboards new clients and supports platform migrations by converting and validating data from prior record keepers and legacy systems into Fidelity’s Health & Welfare platforms. Team members collaborate with clients, implementation teams, operations partners, and external vendors to help ensure accurate migrations and smooth client transitions. The environment is described as highly collaborative and fast-paced.

Requirements

  • 4–6 years of experience in data analysis.
  • Strong SQL skills, including the ability to query, analyze, and validate large data sets.
  • Experience working with relational databases and data-focused applications.
  • Health & Welfare domain knowledge.
  • Experience supporting implementation, conversion, or migration projects.
  • Ability to manage multiple projects and changing business requirements.
  • Advanced data analysis and problem-solving capabilities.
  • Understanding of relational database structures and data relationships.
  • Experience with programming or scripting languages.

Responsibilities

  • Analyze client source data to identify issues, root causes, and remediation strategies.
  • Support data conversion and implementation activities for Health & Welfare plans.
  • Perform complex data analysis and validation using SQL and relational databases.
  • Collaborate with internal and external stakeholders to resolve data-related issues.
  • Facilitate discussions, align cross-functional teams, and drive issue resolution.
  • Learn and apply Health & Welfare systems, data-loading processes, and implementation methodologies.
  • Support migration projects from legacy Health & Welfare platforms to new systems.
  • Manage competing priorities while maintaining high quality and accuracy standards.
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