WHO ARE WE?

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.

EMPLOYMENT PRACTICES

Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.
Travelers reserves the right to fill this position at a level above or below the level included in this posting.
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/

• The program is multi-faceted and offers a business insights & analytics and business development curriculum focused on analytics, insurance, strategy, leading self and influencing others. Other program components include formal mentoring, networking, and career guidance. Please note that occasional travel for business meetings and events is an expectation of program participants.
• BI&A LDP consultant, business intelligence duties will vary based on the specific rotation, but will be within one or more of the areas outlined below:
• Participants could be placed in one of the following rotations:
• Business Performance Analytics:
• Profiles data, draws business inferences, completes analysis and clearly articulates findings for a target audience.
• Holds accountability for performing less complex core tasks of Descriptive Analytics (the exploration and investigation of past business performance), partnering with team members on more complex tasks.
• Manipulates raw data sets into information fit for analysis applying needed logic or requirements from subject matter expert.
• Data Engineering:
• Analyzes sources to determine value and recommend data to include in analytical processes.
• Can collaborate with team and business users to support delivery and educate end users on data products/analytic environment.
• Performs data and system analysis, assessment and resolution for defects and incidents of basic complexity and correct as appropriate
• Test data movement, transformation code, and data components.
• Business Insights Delivery:
• Works with delivery team to fulfill the delivery strategy for business requirements.
• Learns how to develop, automate, compile, and prepare reports, dashboards, cubes, embedded analytics, etc.
• Takes ownership of necessary components such as: Collection of data, Integration of that data, and Development (prototyping, coding, and production build).
• Learns how to complete root cause analysis and facilitates some quality assurance facets of projects.
• Learns how to inform data management of new sources and attributes for their governance.
• Data Management:
• Aids in the data governance and metadata processes by preparing artifacts for review and submission (i.e. researching, preparing simple submissions, and data quality metrics.) Participants are expected to evolve to facilitator of data governance meetings.
• Facilitates, creates, and monitors for data quality across all domains.
• Demonstrates understanding of overall data models, data relationships, mapping lineage and business rules and participates in the creation of data models (e.g. entity design and population) and takes ownership accordingly to department requests and inquiries.
• Learns and adheres to all data management, information protection, and governance practices.
• Decision Science:
• Answer business questions, test hypotheses, and assess impacts/results through diagnostic analysis and active monitoring.
• Surface actionable insights through explanatory modeling and analytics as well as experimental design and related inferential techniques.
• Interpret analyses and apply appropriate visualizations to analytic insights
• Answer business questions, test hypotheses, and assess impacts/results through diagnostic analysis and active monitoring.
• Perform other duties as assigned.