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Freddie Mac seeks a Data Analyst to enhance compliance in insurance analytics. This role involves extracting key data, developing reporting standards, and ensuring data integrity through rigorous analysis. Ideal candidates hold a relevant degree and possess strong analytical skills and experience with SQL, Excel, and Access. Join us to impact how data drives decisions in the insurance domain.
Employer Industry: Insurance Analytics
Why consider this job opportunity:
- Opportunity for career advancement and growth within the organization
- Competitive salary based on experience
- Supportive and collaborative work environment
- Chance to work on impactful projects that shape data reporting and compliance
- Engage with various regulatory entities and stakeholders
- Contribute to the development of best practices in data reporting
What to Expect (Job Responsibilities):
- Extract and report on statistical data related to policies, claims, and commissions
- Develop and maintain detailed reporting requirements for insurance bureaus and other entities
- Communicate with internal departments and respond to correspondence from regulatory entities
- Analyze data and processes to ensure compliance and data integrity
- Identify and recommend improvements in reporting processes and efficiency
What is Required (Qualifications):
- Bachelor's degree in Data or Business Analytics, Mathematics, or equivalent
- 3 to 5 years of relevant work experience
- Understanding of property and casualty insurance products and prior analytical work experience
- Intermediate to advanced skills in Microsoft Excel and Access
- Ability to create, modify, and run SQL scripts
How to Stand Out (Preferred Qualifications):
- Prior experience in the insurance industry or with regulatory reporting
- Familiarity with data information systems and their relationship to business data
- Strong organizational skills with the ability to manage time effectively
- Excellent attention to detail and problem-solving abilities
#InsuranceAnalytics #DataReporting #CareerGrowth #RegulatoryCompliance #DataIntegrity
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