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Data Engineer, Analytics

Hartford, CT, United States

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.

Job Summary

Strategic Analytics is a growing team at Arch. The team develops innovative predictive models and analytical tools to improve profitability and growth. Data plays a critical role in this mission. To be successful, we need to create best in class datasets from internal and external sources leveraging a diverse set of tools and languages. This includes the following cutting-edge technologies available in the cloud; Snowflake, Spark, Python, R and Azure Data Factory.

As Data Engineer, Strategic Analytics Services, you will play a crucial role in developing complex data structures and pipelines. You will work closely with business leaders on high-profile analytics projects that drive the company’s decision-making and strategy. As a key member of the Strategic Analytics team, you will advance our data engineering capabilities helping the team analyze data better and faster.

For the right candidate we are open to remote work. Preference will be given to those who can work EST hours.

Responsibilities

Collaborate with data scientists to understand and solve business problems by developing best-suited data structures for analysis

Build strong partnerships with peers across the organization to support data-related goals

Continuously build on data engineering learnings and help develop best practices to make Strategic Analytics more effective in future projects

Ensure data quality and integrity through appropriate documentation and reconciliation

Recommend, communicate and implement appropriate remedies to address data quality issues

Discover and explore new technologies, tools, and data sources with curiosity and creativity

Identify appropriate technologies to automate data ingestion and identify solutions to link external sources to internal data

Manage requirements throughout the data asset development lifecycle

Education and Experience

3+ years of data manipulation for analytics using SQL

Demonstrated experience building data structures to support analytics/research/actuarial functions

Experience with Cloud, Snowflake, Spark, Python, R, Azure Data Factory, Qlik, PowerBi or working with unstructured data is a plus

Project Management or similar experience is a plus

Operate independently by managing tasks and engaging people across the team

Ability to play a key role in cross-functional teams by collaborating and building trusting relationships

Exceptional written and verbal communication including the ability to effectively present and explain complex concepts

Strong problem solving and critical thinking skills

Thorough understanding of data warehousing concepts and design

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent

Additional certificates in relevant technologies from a university or online program is a plus

#LH LI

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.

Arch Capital Group Ltd. is a Bermuda-based specialty insurer that provides insurance, reinsurance and mortgage insurance on a worldwide basis. With a 20+-year track record of delivering results and a coveted position on the S&P 500 index, Arch is a great place to grow your career.

Arch Capital Group Ltd. (Arch) and its affiliates take your interest in working here very seriously.

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Please know the following about our interviewing and hiring practices.

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