Data Analyst Intern Job at W. R. Berkley, Scottsdale, AZ

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  • W. R. Berkley
  • Scottsdale, AZ

Job Description

Company Details As an elite Excess and Surplus Lines market, Nautilus Insurance Group offers commercial property and casualty insurance solutions to appointed wholesale surplus lines producers countrywide. We have specialized in providing these solutions for more than 35 years. We have more flexible policy terms and premium rates on a non-admitted basis. Our focus is small to medium Property and Casualty risks on both an admitted and a non-admitted basis. Our offerings are distributed through partnerships with appointed wholesale surplus lines producers. Our relationships are defined by mutual success, speed to market, customer-centric focus and an expanded appetite. Coverage placed by Nautilus Insurance Group is provided by Nautilus Insurance Company and Great Divide Insurance Company, both W. R. Berkley Corporation members with A.M. Best (Superior) A+ XV ratings. Responsibilities Looking for a motivated individual with a strong work ethic that can thrive in a team environment as well as independently. In addition to robust analytical skills, this candidate must have effective presentation and communication skills, both written and verbal. The individual in this position shall identify, obtain, and use data to construct decision support tools & reports for all areas of the Company through analysis, thorough understanding of data, and application of technical expertise, to ensure needs are addressed and problems are resolved consistent with overall Company goals. This is a temporary summer intern position based in the Scottsdale, AZ office. Create, validate, and design data-based decision tools. Create new reports and update existing reports providing insights to business partners Collects, reviews, and analyzes information relative to current operations to support management requests. Creates tools and reports to solve problems through the most efficient and effective use of time, software & equipment Collaborate with team members on department and company-wide projects Excellent critical thinking and problem-solving skills are essential. Ability to apply sound judgment and strong decision-making skills. Qualifications Strong Excel and SQL scripting skills Strong problem solving, analytical and critical thinking skills Effective communication and presentation skills, both oral and written Experience in data visualization platforms (Power BI, Tableau, etc.) and/or Python experience a plus but not required Excellent organization skills, able to handle multiple tasks at once Willingness to tackle challenges with a positive attitude Candidates should have taken at least one of the following courses: CIS 325 Fundamental Techniques for Business Data Analytics Manipulating, processing, cleaning and crunching data with a focus on utilizing scripting and programming tools CIS 407 Business Database Systems Development: database and data warehousing systems, development and management. CIS 409 Business Data Warehouses and Dimensional Modeling: SQL, stored procedures and data warehouse architectures CIS 415 Big Data and AI in Business: Platforms and architectures for building and working with large-scale structured, unstructured and multidimensional data sources and systems with a focus on utilizing these tools in business applications. Additional Company Details The Company is an equal employment opportunity employer. We do not accept any unsolicited resumes from external recruiting agencies or firms. The company offers a competitive compensation plan and robust benefits package for full time regular employees. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Sponsorship Details Sponsorship not Offered for this Role recblid rzrbsikad7j85wc4zngaf9omu5usyq W. R. Berkley

Job Tags

Full time, Temporary work, Summer internship, Flexible hours,

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