Senior Data Analyst (Global Internal Audit)

Arch Insurance Group Inc.

About The Position

Arch is seeking a proactive, hands-on Senior Data Analyst to help the Global Internal Audit (“IA”) team advance its use of analytics, automation, and emerging technologies. This role sits at the center of innovation: focused on turning ideas into high‑quality, scalable products that elevate how IA efforts are planned, executed, and monitored. The Senior Data Analyst plays a critical role in transforming ideas into scalable, reliable analytics that support audit planning, execution, and continuous monitoring. Working closely with IA, technology, and business partners, this role emphasizes delivering solutions that reflect the art of the possible. The role offers meaningful exposure to senior leaders, ownership of high‑impact products, and the opportunity to challenge traditional approaches by bringing modern delivery, engineering, and product thinking into the audit lifecycle.

Requirements

3+ years of experience delivering analytics, automation, or AI solutions, with experience in internal audit, risk management, or similar environments.
Demonstrated ability to independently design, build, and deliver analytics solutions end-to-end, with limited oversight.
Proactive mindset focused on generating new solutions, improving existing approaches, and challenging current methods/practices.

Nice To Haves

Experience with Copilot, Power BI, SQL, Snowflake, and programming languages such as Python.
Exposure to professional software engineering practices such as version control, code reviews, and release management.
Practical experience with AI or GenAI use cases for internal audit, risk management, or similar environments.
Agile experience including sprint planning, backlog management, and delivery.
Collaborative team player with a commitment to achieving excellence.

Responsibilities

Support the design, build, and maintenance of analytics, automation, and AI-enabled solutions supporting IA activities.
Support the continuous improvement of analytics products and development processes by exploring new ideas, refining existing solutions, and introducing novel approaches.
Collaborate with IA team members, IT professionals, and business stakeholders across the organization to understand their analytics needs and deliver tailored solutions.
Stay current with the latest trends, tools, and leading practices to enable the IA team to remain at the forefront of applying analytics and automation.