Hybrid Data Analyst — SQL & Data Quality Specialist

Willis Towers Watson; Tampa (FL); Hybrid; USD 55,000 - 60,000; Full time

Benefits offered by this job

Hybrid work model

Health and welfare benefits

401(k) retirement plan

Job summary

Willis Towers Watson is seeking a Data Services Analyst to ensure client data is properly ingested and governed. The role involves interacting with customers and business owners, identifying underlying problems, and communicating resolutions in clear, non-technical language.

Reporting to the Data Services Team Lead, you will support data quality, controls, and timely data delivery in a collaborative, hybrid work environment.

Qualifications

• Minimum 1 year of experience using SQL preferred.
• Hands-on experience with Oracle PL/SQL or similar SQL extension language is a plus.
• Ability to solve difficult problems in a complex environment.
• Strong written and verbal communication, time management, and project organization skills.
• Demonstrate excellent project management skills a plus.
• Commitment to quality and continuous improvement with understanding of data flows, file layouts, data analysis and query tools knowledge.
• Attention to detail and ownership mindset.
• Preferred knowledge of benefits administration or consumer directed accounts.

Responsibilities

• Ensure client data is ingested into the system and that proper controls are followed.
• Interact with customers and business owners and communicate resolutions in non-technical language.
• Report to the Data Services Team Lead.

Skills

SQL

Oracle PL/SQL

Data analysis

Communication

Project management

Attention to detail

Ownership mindset

Benefits administration knowledge

Job description

Willis Towers Watson is seeking a Data Services Analyst to ensure client data is properly ingested and governed. The role involves interacting with customers and business owners, identifying underlying problems, and communicating resolutions in clear, non-technical language.

Reporting to the Data Services Team Lead, you will support data quality, controls, and timely data delivery in a collaborative, hybrid work environment.