Data Analyst

Company



Munich Re Specialty - North America



Location



Princeton
, United States

Data Analyst/Engineer

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 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. 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 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. For more information on

Munich Re Specialty North America, including licensing, regulatory-required, and other information on the operating companies, visit Munich Re Specialty - North America Disclosures

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 and data engineering techniques and have prior experience in a similar role. A top-notch Data Analyst will be someone whose data analysis and development expertise results in trusted information for company executives.

In this position you will:

• 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 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.
• 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.
• 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 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 Company is open to considering candidates in New Jersey and in New York, NY. 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).

The salary estimate displayed represents the typical salary range for candidates hired in this position in NYC. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range.

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. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.

We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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