Data Quality Analyst - Insurance

IBM • New Brunswick, NJ

78d • Hybrid

About The Position

At IBM, we know that transformation drives change, and it is in our DNA to continuously transform. Our Business Transformation Consultants help drive large scale change that spans IBM business units and geographies. As a part of this team, you will have the unique opportunity to be a part of driving IBM's ongoing transformation as a company that continuously innovates and leads the market. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Requirements

• Meticulous approach to data analysis, ensuring accuracy, precision, and attention to detail. Ability to identify data quality issues, inconsistencies, and patterns in large datasets.
• Strong interpersonal and communication skills to effectively collaborate with insurers, cross-functional teams, and stakeholders. Ability to translate technical concepts into non-technical terms and present insights to diverse audiences.
• Proactive mindset with the ability to identify data quality challenges, propose solutions, and implement process improvements. Strong critical thinking and problem-solving skills to address complex data quality issues.

Nice To Haves

• Bachelor's Degree

Responsibilities

• Perform thorough analysis of datasets to identify errors, inconsistencies, and data gaps. Implement data cleansing techniques to improve data accuracy, completeness, and consistency. Ensure data meets quality standards and regulatory requirements.
• Collaborate with insurers, internal teams, and other stakeholders to understand data quality requirements, define metrics, and establish data quality performance benchmarks. Communicate effectively to address concerns, provide guidance, and foster a culture of data quality awareness.
• Monitor data quality trends, patterns, and potential risks. Identify areas for improvement and recommend corrective actions to mitigate risks and enhance data quality. Stay updated with industry trends, regulations, and emerging technologies related to data quality in the P&C insurance industry.
• Continuously evaluate and refine data quality processes, methodologies, and tools to enhance efficiency, accuracy, and scalability. Identify opportunities for automation and streamline data quality workflows.

What This Job Offers

• Industry: Professional, Scientific, and Technical Services
• Education Level: Associate degree
• Number of Employees: 5,001-10,000 employees