Analytics Engineer

Analytics Engineer Company Munich Re America Location Princeton , United States

All applicants, including applicants holding a valid CPT/OPT visa, who will require employer sponsorship of a visa now or in the future will not be considered for this position.

We will consider candidates in NYC or Princeton, NJ.

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 units and clients. We will consider a range of relevant experience for this role and the offer will be commensurate with that.

The Company

Munich Re US (MR US) offers the financial strength and stability that comes with being part of the world's preeminent insurance and reinsurance brand. Our risk experts work together to assemble the right mix of products and services to help our clients stay competitive - from traditional reinsurance coverages, to niche and specialty reinsurance and insurance products.

We address the key challenges of the future - that is what we have been doing in the US property/casualty reinsurance market since 1917. As a leading reinsurer, we deal with the issues that affect business and society and work to devise risk management and risk transfer solutions that render tomorrow's world insurable. Our recipe for success: we anticipate risks early on and deliver solutions tailored to your needs, creating opportunities to achieve sustained profitable growth.

The Opportunity
Future focused and always one step ahead

The Digital Solutions team develops innovative analytics solutions that help our clients understand and manage their exposure to changing and emerging risk areas. The Analytics Engineer designs, develops and deploys data pipelines and dashboards, supporting the implementation of new data and analytics solutions conceived by senior staff.

Requirements

• Work under the guidance of more senior analytics staff on data transformation and data modeling projects. Ensure the appropriate technologies and software engineering best practices are applied within the scope of a given project.
• Work on small scale or ad hoc data projects independently. Ensure work is reviewed by more senior staff before releasing into production or submission to business partners.
• Work closely with data engineering and infrastructure teams to deploy data pipelines and products at scale.

Core accountabilities include:

• Develop an understanding of the data and processes used by the analytics team to recommend optimized data models and workflow, including the requirements for data formats and attributes at each stage of data transformation.
• Work collaboratively with business stakeholders to align business requirements with data assets.
• Extract data from different sources and formats and model raw data into clean, tested, and reusable datasets.
• Define, document and communicate data quality rules, standards, and metrics to team members and business partners.
• Drive the adoption of DataOps best practices such as version control, data unit testing, and CI/CD.
• Research and develop analytical tools appropriate to support robust business decisions and expand our analytic capabilities.

Qualifications:

• 2+ years of professional experience, re/insurance and cat modeling experience is strongly preferred.
• 2+ years of hands-on Power BI and Python experience with strong data exploration and manipulation skills. Experience with geospatial data and analytics is strongly preferred.
• Bachelor's degree in Computer Science, Math or equivalent combination of education and experience.
• Experience with Git, SQL, cloud-based ETL and integration, distributed-computing, and business intelligence tools
• General understanding of modern machine learning algorithms applied to real-world data, including the ability to identify and articulate potential data and modeling issues.
• Demonstrated ability to experiment with and learn new technologies.
• Self-starter with a high level of intellectual curiosity and dedication.
• Able to build a sense of trust and rapport that creates an effective workplace.

This role is being offered in Princeton, NJ or New York, New York. The salary range posted below applies to the Company's NYC location.

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, Equity 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.