Travelers Associate Data Engineer in Hartford, Connecticut
Associate Data Engineer
Primary Job Duties & Responsibilities:
Data Acquisition, Prep and Exploration:
Reviews unfamiliar data sources. Connects to value for business. Able to link to systems.
Develops process to acquire and integrate data.
Independently reviews, prepares, designs and integrates complex (type, quality, volume) data correcting problems and recommends data cleansing/quality solutions to major issues.
Works within Travelers standards, processes, and protocols.
Develops moderate and applies complex data derivations, business transformation rules, and data requirements.
Performs analysis of complex (type, quality, volume) sources to determine value and use. Determines and recommends data to include in analytical projects.
Creates moderate (technology and features) data visualization techniques to help support data exploration.
Utilizes business knowledge to explain technical activities in business terms.
Actively seeks opportunities to expand technical knowledge and capabilities.
Analytic Data Discovery
Proactively looks to improve and optimize data products.
Builds, tests, and implements analytic business products, including pilots and proof of concept.
Applies knowledge of current industry trends and techniques to formulate solutions within the context of assigned projects and/or enhancements.
Independently train business users on data products/analytic environment.
Ensures customer satisfaction through professional communication, follow-up, and responsiveness to issues.
Shares knowledge with users on data or analytic products.
Builds effective relationships with stakeholders.
Provides guidance and mentorship to lower level technical employees
Job Opening ID:
Equal Employment Opportunity Statement:
Travelers is an equal opportunity employer.
Job Specific & Technical Skills & Competencies:
Computer Proficiency: Ability to read/revise/review a statistical software program (e.g. R, SAS, SPSS. Ability to create advanced programs from scratch. Leading the Business: Problem Solving & Decision Making. Risk Taking, Innovation. Results Orientation. Business Perspective. Understanding & Navigating the Organization (Includes Collaboration). Leading Others: Forging Synergy. Communicating Effectively. Leveraging Differences. Building & Mending Relationships. Participative Management. Leading Employees: Employee Development. Leading Self: Openness to Influence, Flexibility. Self Awareness. Seeks Opportunities to Learn. Leadership Stature. Credibility. Business Acumen: Understanding and knowledge of key business knowledge areas (e.g. product, enterprise, industry, claim process and competitors). Ability to leverage business knowledge to determine approaches to execution. Critical Thinking: Ability to take action in solving problems while exhibiting judgment and a realistic understanding of issues; ability to use reason; review facts, identify inconsistencies and weigh options; ability to make logical and timely decisions that address the right issues. Modeling: Ability to develop advanced models and interpret model results. Statistics: Understanding of advanced statistics underlying data models. Ability to apply new statistical procedures to work. Demonstrates intermediate to strong ability and knowledge of database principles, data profiling, statistics and data modeling and can apply this knowledge in new or complex situations. May guide other professionals.
Actuarial and Analytics
This position is responsible for:
Support the strategy and managing projects, people or innovation streams through a combination of
Data acquisition, prep and exploration
Analytic data discovery
Conduct a variety of statistical analyses including data mining, predictive modeling and/or actuarial techniques.
Research and explore unknown data sources. Work with data and systems experts to understand the data and what it represents. Use analytic functions to determine what data answers a question and provide recommendations.
Partner with internal organizations to solve problems including near term, tactical solutions and transitioning to long term, strategic solutions.
- Experience in Hadoop technologies a plus.
Education, Work Experience & Knowledge:
Relevant work experience in research and/or advanced analytic work (e.g. predictive modeling) preferred.
PhD STEM (Science, Technology, Engineering, Mathematics) degree with zero years experience or Masters STEM degree with 3 years experience or Bachelor's STEM degree with 5 yrs experience required. Moderate working knowledge of modeling/research/analytics or actuarial required. Relevant statistical analysis work experience required.
Solid reputation, passionate people and endless opportunities. That's Travelers. Our superior financial strength and consistent record of strong operating returns mean security for our customers - and opportunities for our employees. You will find Travelers to be full of energy and a workplace in which you truly can make a difference.
Hartford - Connecticut - United States