Travelers provides insurance coverage to protect the things that are important to you – your home, your car, your valuables and your business. We have been around for more than 165 years and have earned a reputation as one of the best property casualty insurers in the industry because we take care of our customers, agents, brokers, communities and each other.

Every day, our approximately 30,000 employees and 13,500 independent agents and brokers in the United States, Canada, the United Kingdom and Ireland help provide peace of mind to our customers.

Our expertise and focus on innovation have made us an industry leader and the only property casualty company in the Dow Jones Industrial Average. Our history of advancements has propelled our company, and our industry, to deliver higher standards – from writing the first auto and space travel policies to founding the Travelers Institute for public policy and launching a hybrid car discount.

By minimizing risk, preventing loss and helping our customers prepare for the unknown, Travelers’ comprehensive products and services enable individuals and businesses to feel confident and secure about the future.

At Travelers, we create trusted strategic products and services to unlock the power of our data. We enhance and measure our ability to access, govern, manage, connect and integrate internal and external data assets and ensure our employees understand the value of data and the impacts to our business. As a Sr Consultant, Data Analyst you will work on effective data governance practices to ensure that data is consistent, trustworthy, and doesn't get misused. You will measure accuracy, completeness, consistency, and reliability of data to embody and promote Traveler's data culture values. Consulting with business partners, you will drive the discussion to develop, implement, execute, and document data management, data governance, and metadata policies, standards, and best practices. Leveraging your understanding of the data ecosystem, business process and decision-making, and the data value chain, you will perform moderately complex root cause analysis to improve the quality of data.

What Will You Do?

• Assist in the process of managing the availability, usability, integrity security and privacy of the data.
• Implement processes to assure data quality for business purposes
• Perform moderately complex data profiling and analysis and communicate results in support of data quality processes.
• Meet with business customers to develop and maintain business data quality requirements and specifications.
• Perform intermediate to advanced metadata documentation, data lineage, data transformation rules in support of key program deliverables.
• Work with business customers to ensure appropriate naming definitions and standards are being followed.
• Participate in the creation of data models (e.g., entity design and population).
• Perform testing and validation of requirements and/or data management capabilities.
• Demonstrate and apply detailed understanding of overall data models, data relationships, mapping lineage and business rules.
• Create detailed test strategies and test plans.
• Perform moderately complex root cause analysis and resolution of business data issues.
• Gather information across the enterprise and use tools, processes, and workflows to capture knowledge and maintain its relevance.
• Assist with the designing the creation, maintenance and governance of taxonomies and ensures its applicability to content and/or data.
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Experience with SQL.
• Ability to understand Data metadata management practices.
• Ability to clearly articulate thoughts and ideas and adjust communication based on audience.
• Ability to leverage previous experience to consider a variety of alternatives to arrive at a timely, practical, and effective solution to resolve business problems.
• Strong collaboration skills with the ability to work with business partners to design and execute priorities and project goals.
• Strong organizational and time management skills with the ability to handle shifting priorities.
• Demonstrated understanding of overall data models, data relationships, mapping lineage and business rules.

What is a Must Have?

• Bachelor's degree or two years of relevant data and analytics, and/or data management experience.