Data Architect Data Analytics

Data Engineer

Data Engineer/Analyst
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 North America 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. We offer superior service levels, industry-recognized underwriting and claims expertise and innovative approaches to complex and evolving risks.
Munich Re Specialty North America 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. Munich Re Specialty North America, including licensing, regulatory-required, and other information on the operating companies, visit Munich Re Specialty - North America Disclosures
We are seeking a highly capable Data Engineer 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 Engineer must be a champion of our data and reports and actively strives to identify and resolve any data issues. To ensure success as a Data Engineer, you should exhibit extensive knowledge of data analysis and data engineering techniques and have prior experience in a similar role. A top-notch Data Engineer will be someone whose data analysis and development expertise results in trusted information for company executives.
Apply data patterns to establish data flows to address analytical requirements.
Be responsible for performing data analysis and engineering, collaborating with 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 Engineers 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.
Support development and monitoring of data quality and data governance processes.
Bachelor's Degree or equivalent work experience.
5+ 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.
Knowledge of data warehousing, business analysis tools, and data management techniques.
Can quickly assimilate data and communicate complex requirements and issues clearly and concisely.
Demonstrated expertise with creating data pipelines and Data Workflows and Jobs using Databricks or equivalent tools.
Proficiency in Power BI and report modeling.
Understanding of data engineering techniques, patterns, and best practices.
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.
The salary range posted below applies to the Company's NYC location only.

The base salary range anticipated for this position is $91,800 - $134,600 plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).
At Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Munich Re Worldwide

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