Data Analyst
US-NJ-Morristown
careers
Req #: 18888
Type: Regular Full-Time
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Overview: ANV Global Services, Inc. (ANV), a fast-growing MGA specialized in financial lines insurance, requires a professional with extensive experience with requirements gathering, data, analytics, and management information delivery. The role includes maintenance and enhancement of pricing engines for ANV's various lines of business, improved efficiency through data mapping and integration as well as enhanced decision making through the development of automated management information and data analysis. Role is based out of ANV's Morristown office but will service both our US and International operations. Responsibilities: * Partner closely with underwriting, claims and operations departments to improve risk selection, drive efficiency and management reporting * Maintain and enhance ANV's pricing engines to improve the data quality and ensure data integrity * Gather data from various sources and clean raw datasets, evaluate data quality and fix data issues, and create analytic datasets * Improve or fully automate the report generation processes * Data management deliverables including automated reports and ad-hoc MI * Data analytics for improved decision making and risk selection * Apply analytical skills to identify and address business/process problems through data driven strategies Qualifications: * Minimum 2+ years in data analyst or comparable role * Must have hand-on experience in database and Power BI * Experience with relational databases Access or SQL is required * Comfortable using BI tools to analyze and manipulate data such as BO, SQL, Power BI * Strong skills in data extraction and analysis * Understanding of business and IT processes * Well organized and be able to prioritize tasks and meet deadlines * Experience in VBA is a big plus Desirable: * Industry specific knowledge * Team player with can do attitude The expected salary range for this role is $61,500-$80,000/year Please note that the salary information shown above is a general guideline only. Salaries are based upon a wide range of factors considered in making the compensation decision, including, but not limited to, candidate skills, experience, education and training, the scope and responsibilities of the role, as well as market and business considerations. #LI-EF1 #LI-HYBRID
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