Senior Analytics Engineer

Sr Data Engineer - GE07BE

Data Engineer - GE08AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.          

Are you passionate about analysis and critical thinking? Do you want to use your skills to make a meaningful impact? This is your chance to channel your talents into a rewarding career at The Hartford.  

This role can have a Hybrid or Remote work arrangement.  Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday).   Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. 

OVERVIEW

Analytics Engineers form the Audit Analytics Center for Enablement (C4E) which supports The Hartford’s Internal Audit Department in its continuous assessment of the internal and external risk environment impacting the Company. The C4E evaluates controls over key operations across the entire enterprise, including all lines of business (Business & Personal Insurance, Employee Benefits, HIMCO, etc.) and functions (e.g., Underwriting, Claims, Actuarial, IT.).The C4E will enable and drive use of innovative and advanced data analytics capabilities throughout Internal Audit that will serve to improve and optimize delivery of audit services in support of our businesses and customers. The Senior Analytics Engineer will also provide data analytics leadership, guidance and mentoring to auditors, fostering a culture of continuous learning and improvement. We are committed to developing engineering professionals through: 

• Diverse assignments in key financial, operational, and technical areas

• A structured onboarding program with comprehensive new hire training 

• Progressively challenging assignments, including leading audit and analytical engagements

• Continuing professional education in insurance, data, audit, and personal development skills

• Frequent networking opportunities with leaders across the organization

• Opportunities to participate in department-wide continuous improvement initiatives

RESPONSIBILTIES:

• Drive Use of Advanced Analytics: Drives the use of innovative and advanced data analytics capabilities both on the team and throughout the department. This includes solving a range of technical and business questions in support of the audit department’s mission to provide independent, objective assurance and advisory services.

• Leads Design of Data Solutions: Leads the design of data solutions and performs analysis on existing data assets through root cause analysis and resolution of business/technical questions. Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution.

• Data Management: Maintain a comprehensive C4E library of data sources and source owners. Support actions to query, format, and validate data for analysis.

• Identify Data-Driven Opportunities: Utilize analytics solutions and related tools to identify and execute data-driven opportunities in support of the audit plan.

• Data Analysis: Leverage data mining and business intelligence tools to analyze large datasets, identifying relationships and patterns within the data.

• Collaborate with Teams: Strong collaboration with audit team members and relevant business and functional lines (e.g., process owners, data source owners) to maintain a strong working knowledge of the business, including its products, systems, data, processes, procedures, and customers.

• Provides Leadership & Mentoring: Work independently and provide data analytics leadership, influencing, guidance, and coaching/mentoring to auditors, fostering a culture of continuous learning and improvement.

• Training Development: Support the development of C4E-based training materials and delivery of training.

QUALIFICATIONS:

• Education: Bachelor’s degree (or foreign equivalent) required; preferred fields include business, computer science, computer engineering, data science or related areas. Professional certifications (such as CIA, CPA,