Data Analyst
: Job Details :

Data Analyst Company Munich Re America Location New York , United States Must have primary commercial and specialty insurance with a focus on data or business analysis. Applicants requiring employer sponsorship of a visa now or in the future will not be considered for this position. We're adding to our diverse team of experts and are looking to hire those who are committed to building a culture that enables the creation of innovative solutions for our business and clients. The Insurance Operations Munich Re Specialty Insurance (MRSI) provides extensive, specialty property and casualty insurance solutions to customers through select brokers, Managing General Agents, program administrators, cover holders, and insurtech partners. Products include: property, casualty, professional liability and other specialty insurance solutions. Our comprehensive, customized solutions are provided by A+ rated carriers and are tailored to clients' needs. We offer superior service levels, industry-recognized underwriting and claims expertise and innovative approaches to complex and evolving risks. Munich Re Specialty Insurance (MRSI) is a description for the insurance business operations of affiliated companies in the Munich Re Group that share a common directive to offer and deliver specialty property and casualty insurance products and services in North America. For more information on MRSI, including licensing, regulatory-required, and other information on the operating companies, visit The Opportunity We are seeking a highly capable Data Analyst that will use data to solve business problems. In this position, you will be responsible for the accuracy and integrity of MRSI's data landscape that is used to support various data driven initiatives that drive business value and enable actionable insights. The Data Analyst must be a champion of our data and reports and actively strives to identify and resolve any data issues. Must be a forward thinker that sees the larger picture; looks beyond the current, anticipates what could happen or what the future needs will be. To ensure success as a Data Analyst, you should exhibit extensive knowledge of data analysis techniques and have prior experience in a similar role. A top-notch Data Analyst will be someone whose data analysis expertise results in trusted information for company executives. In this position you will: • Be responsible for performing data analysis, collaborating with data engineers, data modelers, data architects, and technical subject matter experts to enhance data collection and storage procedures, and preparing data quality analysis and reports. Be responsible for developing the processes and procedures necessary to ensure the quality data. • Evaluate changes to source systems and the impacts from the data and reporting landscape. • Work closely with business analysts and technical subject matter experts to understand the source systems and assist in the analysis of data integration and data transformation. • Support teams with data requirements, source-to-target mappings, and other data-oriented deliverables. • Consult with data/business owners and teammates to identify all facets of a data issue to help generate a solution as well as understand the potential impacts to processes and systems across the organization. Work directly with business executives to identify areas for improvement. • Participate in discovery meetings, provide estimates, analyze and validate project requirements and technical specifications, perform impact analysis, and document key issues. • Troubleshoot job failures with developers, where necessary. • Support development and monitoring of data quality and data governance processes. • Identify operational gaps in our delivery based on potential business usage (i.e. dashboard gaps that could lead to rework, or usage gaps). Successful candidates qualifications: • Bachelor's Degree or equivalent work experience. • 3+ experience in primary commercial and specialty insurance with a focus on data or business analysis. • Specific domain expertise in insurance areas such as Underwriting, Claims, Finance, or Operations. • Understanding of insurance KPIs and experience in their implementation. • Demonstrated analytical and problem solving skills. • Knowledge of data warehousing, business analysis tools, and data management techniques. • Ability to work in a fast-paced environment, juggle multiple priorities, and be adaptive to change. • Can quickly assimilate data and communicate complex requirements and issues clearly and concisely. • Ability to analyze the root cause of a problem and demonstrate good sense when determining impact. • Effectively work in a collaborative environment across functional teams. • Excellent organizational, multi-tasking, and time management skills. • Strong interpersonal communication skills and presentation skills. Required technical skills: • Demonstrated expertise in Power BI, including DAX statements and report modeling - or equivalent skills in similar data visualization tools • Proficiency with Databricks notebooks and data profiling techniques. • Strong knowledge of relational databases, SQL, and Python.