Design and create enterprise-level reports and dashboards, transforming data into actionable insights for stakeholders while managing multi-priority projects independently.
Overview:
This position is responsible for the data analysis, data mining, designing and creating reports and dashboards for the whole enterprise. The ability to disseminate technical information into business insights for non-technical audiences is of key importance. Data Analyst must create complex queries and logic while assisting the end users with data needs and with report queries.
This position is also responsible for the specifications and design of enterprise reports. This includes writing, customizing, testing and debugging the reports, followed by creating supporting documentation. The candidate must be able to manage multiple priorities and requests for assistance in an effective and constructive manner. Assigned projects will be completed independently with little to no supervision.
Our Ideal Candidate:
Education and Experience:
Bachelor’s Degree in Actuarial Science, Math, Statistics, Economics or Computer Science or related subjects required. 3-5+ years of Property & Casualty experience in an Actuarial or Data Analyst role required. Candidates with actuarial exams are preferred.
Why CIG:
CIG's main office is located in beautiful Monterey, CA. Learn more about us by visiting www.ciginsurance.com.
Learn more about our benefits here.
Capital Insurance Group is an equal opportunity employer committed to a diverse workforce.
Equity Compensation
Employee Stock Ownership Plan
Health Insurance
Health, Dental, Life Insurance
Paid Time Off
Generous Paid Time Off
Capital Insurance Group specializes in providing comprehensive insurance services tailored for individuals and families in the Western United States. With over a century of experience, they leverage technology to enhance customer experience and strengthen their commitment to service in the community.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Analyst Q&A's