The Hartford's Internal Audit Department needs to improve and optimize the delivery of audit services by leveraging innovative and advanced data analytics capabilities to assess the internal and external risk environment impacting the Company.
Requirements
- 4+ years with descriptive and diagnostic-based analytics and supporting tools and scripting languages (e.g., Tableau, Power BI, Python, SQL, etc.).
- Broader experience with predictive analytics and native Google and AWS tools is a plus.
- Ability to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution.
Responsibilities
- Drives the use of innovative and advanced data analytics capabilities both on the team and throughout the department.
- Leads the design of data solutions and performs analysis on existing data assets through root cause analysis and resolution of business/technical questions.
- Maintain a comprehensive C4E library of data sources and source owners.
- Support actions to query, format, and validate data for analysis.
- Utilize analytics solutions and related tools to identify and execute data-driven opportunities in support of the audit plan.
- Leverage data mining and business intelligence tools to analyze large datasets, identifying relationships and patterns within the data.
- Work independently and provide data analytics leadership, influencing, guidance, and coaching/mentoring to auditors, fostering a culture of continuous learning and improvement.
Other
- 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.
- Excellent influencing, collaboration and communication skills (both verbal and written) and the ability to work effectively with audit teams, business clients, and IT resources.
- 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, or CISA) a plus.
