Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
Job Description Summary
Enterprise Data & Analytics Technology is a team of highly motivated and skilled professionals who are leading Travelers’ analytics journey and driving business value that creates a sustainable competitive advantage for our company. We accomplish this by helping the enterprise adopt various technology platforms ranging from storage, compute (private and public cloud), AI, Predictive modelling, Data Management, Data Ops and Data Products.
Primary Job Duties & Responsibilities
Data Analysis, Acquisition, Preparation, and Exploration:
Independently review, prepare, design and integrate moderately complex (type, quality, volume) data, correcting problems and recommend data cleansing/quality solutions to issues.
Apply moderate data derivations and assist with complex business transformation rules and data requirements.
Perform analysis of moderately complex (type, quality, volume) sources to determine value and use.
Recommend data to include in analytical projects.
Create simple (technology and features) data visualization techniques to help support data exploration.
Data Solutions & Analytic Implementations:
Operationalize and automate moderately complex (more systems, data sets and streams, size of data sets more substantial) data products independently.
Build, test, and implement moderately complex analytic business processes, including pilots and proof of concepts.
Apply knowledge of current industry trends and techniques to formulate solutions within the context of assigned projects and/or enhancements.
May present complex information to next level of management.
Work within Travelers standards, processes, and protocols.
Incorporate core data management competencies – data governance, data security, data quality.
Share knowledge and Independently train business users on data products/analytic environment when necessary.
Perform other duties as assigned.
3 years of relevant experience with data tools, techniques, and manipulation required.
Education, Work Experience, & Knowledge
College Degree in STEM related field
Intermediate knowledge of data tools, techniques, and manipulation preferred. Examples (but not limited to):
Big data and Cloud platforms
Programming languages – SAS, SQL, Spark, Python, Hive, AWS
Visualization platforms: QlikView, Tableau, MicroStrategy and Qlik Sense
4 years of relevant experience with data tools, techniques, and manipulation preferred.
Job Specific Technical Skills & Competencies
Intermediate knowledge of data tools, techniques, and manipulation preferred in one or more of the following:
Data concepts – Data Warehouse, Data Lake, Data Model, DB Design, Data Mapping
Data platforms – RDBMS, Big Data and Cloud
Data integration tools – Talend, Ab Initio
Scheduling tools – Autosys, Control-M
Programming languages – Spark, Python, Java
Dev Ops – Continuous Integration, Continuous Deployment, Version Control