As a Cyber Claims Data Analyst, you will be responsible for analyzing claims data to identify trends, risks, and opportunities for improvement in claim processing and management. You will also be required to ensure claims data is up to date and adheres to data governance standards.
Key Responsibilities:
- Data Analysis: Utilize advanced data analytics techniques and data visualization tools to identify patterns, trends, and insights relevant to claims strategy and cyber analytics using various data sources.
- Compliance and Regulation: Ensure compliance with relevant regulations and company policies. Build and maintain data dictionaries to document and organize relevant data elements, supporting data management and governance initiatives.
- Reporting and Communication: Prepare and present reports to management, sharing findings and recommendations. Develop and establish key performance indicators (KPIs) in collaboration with business teams to facilitate data-driven decision-making.
- Process Improvement: Identify areas for process enhancement in claims tracking and handling, and collaborate on implementing solutions.
- Risk Management: Identify and mitigate potential risks associated with claims data.
- Collaboration: Work with departments such as underwriting, actuarial, and customer service to address complex claims issues.
- Data Entry and Maintenance: Enter and maintain accurate claim data in various systems and trackers.
- Data Interpretation: Interpret policy language and understand the implications of claims data.
- Communication: Effectively communicate findings to management, claim handlers, and policyholders.
Minimum Qualifications:
- Bachelor's or master's degree in Data Analytics, Statistics, Mathematics, or a related field.
- Minimum of 3 years of relevant experience as a Data Analyst or similar role.
- Experience in the insurance industry, especially claims centers and financial services.
- Proven experience working collaboratively with business, operational teams, and stakeholders to develop KPIs and conduct impactful data analysis.
- Strong skills in data visualization software (Power BI, Qlik) and data analysis tools (SQL, Python, R).
- Exceptional verbal and written communication skills, with the ability to present complex data insights effectively to leadership.
- Excellent attention to detail and ability to deliver high-quality work within deadlines.
- Strong problem-solving skills with a strategic mindset.
- Proven ability to work effectively in team environments across various organizational levels.