Analytics Product Engineer, Data Products

Travelers • Hartford, CT

1d

About The Position

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As an Analytics Product Engineer on the Data Products team, you will play a key role in growing and transforming our analytics data landscape. You will combine hands-on engineering with Product Owner accountability - designing and building transformation pipelines and data models while managing a delivery backlog, defining requirements with business stakeholders, and providing sign-off on solutions. In addition to your strong analytical and engineering skills, you will bring domain knowledge and the ability to translate business needs into reliable, well-governed data products. You will leverage modern data engineering tools and emerging GenAI capabilities to capture, transform, and serve data that supports business intelligence and analytics across the organization.

Requirements

• Bachelor’s Degree in STEM related field or equivalent.
• Six years of related experience.
• Proven experience in hands-on data engineering and product ownership.
• Strong background in analytics engineering with proficiency in Python and SQL.
• Demonstrated experience building and deploying scalable data pipelines.
• Hands-on experience with AWS Cloud and Databricks.
• Proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of software engineering practices.
• The ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases, and contribute to tradeoff and negotiation discussions.
• Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on.
• Proven problem solving skills including debugging skills, allowing you to determine source of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems.
• Strong verbal and written communication skills with the ability to interact with team members and business partners.
• Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities.
• Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
• 2 additional years of software/data engineering experience.

Responsibilities

• Product Ownership & Strategy Define and prioritize the product backlog and roadmap for our Analytics Data Products, focusing on both expanding data product capabilities and continuously improving transformation pipelines and data models
• Act as the voice of business stakeholders and analytics consumers, ensuring their needs drive product evolution
• Measure delivery outcomes against business priorities and adjust the roadmap based on real results and shifting stakeholder needs
• Make critical trade-off decisions in collaboration with leadership to maximize value delivery
• Provide sign-off on engineering deliverables and maintain accountability for what gets built and whether it solves the problem
• Solution Development & Data Modeling Design and build data models and define architecture that is scalable, performant, and aligned to business consumption patterns, leveraging generative AI techniques
• Leverage a keen understanding of the data to uncover gaps, quality issues, and opportunities to enhance transformation pipelines and data product capabilities
• Partner with IT, Data Platform, and business stakeholder groups to develop and validate solutions that meet real-world business needs
• Make informed decisions on data design patterns to optimize for reliability and performance
• Build proof-of-concepts and prototypes for new data product capabilities before broader implementation, de-risking delivery and demonstrating feasibility
• Engineering & Automation Build and operationalize data transformation pipelines and analytical solutions using modern platform services, data engineering tools, and emerging GenAI capabilities
• Develop automation for repetitive data processes to improve reliability and reduce manual intervention
• Perform substantive pull request reviews, evaluating business logic correctness, potential bugs, performance implications, and adherence to team standards
• Implement comprehensive testing, data quality checks, business logic validation, reconciliation, and integration tests to ensure high-confidence data products
• Partner with IT and engineering teams to deploy, monitor, and operationalize solutions
• Upstream & Downstream Requirements Gather and synthesize requirements from data providers and analytics consumers, translating business needs into clear technical specifications
• Document data lineage, upstream/downstream dependencies, and define acceptance criteria for deliverables
• Identify data gaps and quality issues, and validate solutions with stakeholders before and after delivery
• Scope work and communicate delivery timelines and risks proactively to avoid surprises
• Documentation, Governance & Best Practices Establish and evangelize best practices for data engineering, platform usage, and analytical development across teams
• Apply naming standards, maintain mapping documentation, and ensure business logic and data lineage are clearly captured and accessible
• Create clear documentation on which datasets to use for different analytical purposes and modeling needs
• Navigate governance processes and data controls to ensure compliant, well-classified data products
• Share insights and best practices across teams to ensure alignment and consistency in analytical approaches
• Stakeholder & Delivery Management Translate technical concepts into business language and present effectively to mixed technical and non-technical audiences
• Manage stakeholder expectations and communicate project status proactively across IT, Data Platform, and business groups
• Facilitate knowledge transfer between engineering and business teams
• Flag risks and blockers early - before they land on someone else's desk

Benefits

• Health Insurance : Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.
• Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
• Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
• Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
• Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees