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Data Engineer, Analytics - Hartford, United States - McNeil & Co.
Description
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.
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
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Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.
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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.Please be vigilant to fraudulent activity if you receive a communication or email asking you to submit any personal information.
Do not send money or pass any details to someone suggesting they can provide employment with Arch. You should only enter your information into our official career portal.Please know the following about our interviewing and hiring practices.
We never make job offers without a formal, in person, interview process.
We never ask you to send money of any kind.
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