Posted in General Business 30+ days ago.
Type: Full-Time
Chubb is a global leader in the insurance industry and provides an extensive suite of products to a wide range of clients. Delivering superior coverage, craftsmanship, and customer experience has always been at our core, and will continue to be as we modernize what insurance does and how we deliver it, all while protecting what our customers value most. Major initiatives are underway at Chubb to build on our strengths and expand Chubb’s reach in the digital insurance space. This means data-enriched processes and real-time insights embedded across our value chain, design thinking and an “engineers of everything” mentality, and a world-class customer experience that sets us apart. We are also reimagining our ways of working to be more adaptable and flexible through agile principles and investing in skillset development and tools for a digital age.
What We Bring
What You Will Do:
By joining Chubb as a Technical Data Analyst, you will analyze and certify data, troubleshoot data issues, promote data quality, and assist in the delivery of key projects in support of our North America enterprise data warehousing initiative. Our data warehouse platform is a strategic application within the business, feeding into innumerable be systems and applications both up and downstream with data that directly supports business decisions being made each and every day. With us, you’ll leverage your knowledge of SQL and database tables to analyze data, identify gaps or discrepancies, and partner with applications teams, IT teams across the business, our stakeholders, and our Data Architect to drive solutions that directly impacts how data is used throughout the business. You’ll have opportunities to build upon your technical skills and insurance knowledge as we continue the evolution of our data warehouse and related infrastructure. Through it all, we’ll also look to you to share your ideas and manage data related projects end to end that influence how we incorporate, validate, and distribute data enterprise-wide.
Day to day, you will:
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