The Data Management group within Global Analytics at Chubb is seeking a Senior Data Solutions Lead to join our fast-paced, high-energy Data team. This individual will work closely with B360 Product Owner to evaluate, analyze, and certify data, troubleshoot data issues, promote data quality, and assist in the delivery of key projects.

 

Job Description

By joining Chubb as a Senior Data Solutions Lead, you will work closely with B360 product owner and evaluate, analyze, and certify data, troubleshoot data issues, promote data quality, and assist in the delivery of key projects in support of Business needs and priorities and as part of our Global Smart Data Group. Our smart data assets feed into multiple systems and applications, with the data that directly supports business decisions being made every day. With us, you’ll leverage your knowledge of SQL, Python, and database tables to analyze data, identify gaps or discrepancies, and partner with applications teams, IT teams across the business, and our stakeholders to drive solutions that directly impact 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 smart data assets. 

Responsibilities

In close alignment with B360 Product owner support assigned work efforts through all phases of the requirements, development, testing, and implementation life cycle, reviewing all requirements, analyzing results, and testing/validating data.Working Closely with B360 product Owner reconcile external and internal data sources and identify the root cause of discrepancies; distinguish between multiple root causes and/or multiple trends in each data set and articulate results to stakeholders and technical resources.In Close alignment with B360 Product owner analyze and test our data assets, Data APIs, and investigate for any data issues or discrepancies.Monitor our data refresh process to ensure the reliability and accuracy of information loaded into the data service layer.Aid in defining and documenting requirements, communicating changes in scope or requirements, to all stakeholders as required; Generate reports, ad-hoc extracts for business and leadership.Ensure data integrity by implementing quality assurance practices, gathering and entering missing data, and resolving any anomalies.Collaborate with cross-functional teams, including underwriting, claims, sales, and IT, to ensure data analysis aligns with business objectives.

Bachelor’s degree in computer science, Engineering, or a related field. Master’s degree preferred.

Minimum of 10+ years of experience in a Data Analysis, Data Quality Assurance (or similar) role as part of an Analytics Solutions team and supporting data-driven projects.Minimum 5+ years of experience in leading teams.Prior experience within the insurance industry is a definite plusExperience working with diverse data platforms, relational, NoSQL, with demonstrated understanding of databases, table structures, and data models.Advanced knowledge of SQL, with the ability to write and troubleshoot medium to advanced SQL queries.Proficiency in Python and its libraries for data analysisExperience in working with structured and unstructured data.Familiarity with data lake and large-scale data storage systemsEager to learn new technologies and analytical methodologies.Strong communication (verbal and written) and interpersonal skills to translate ambiguous business requirements into complex analyses and actionable insightsPrior experience in the Azure platform and Databricks/Spark is a plus.