Data Analyst

Aon Corporation • Bloomington, MN

8d • Onsite

About The Position

This role involves supporting data and analytics for a blend of legacy and modern systems at Aon Affinity. You will engage directly with business units to provide data solutions and insights. Leading small project teams to build practical analytics solutions will be part of your responsibilities. On any day, you may meet with business leaders to understand their analytics needs, define solutions to analytics problems, or build algorithms, data pipelines, and dashboards using tools like Databricks and Power BI. You will also assist other analysts by reviewing and contributing to their projects.
Partner with business, marketing, IT, and other collaborators to understand business needs, build analytics strategies, and develop high-value analytics solutions. Perform business analysis to define requirements, prioritize work, and translate business questions into actionable analytics and reporting.
Compose and build Python-based algorithms and data pipelines. Build interactive dashboards so that your results reach decision makers.
Provide thought leadership to business units by educating them about advances in analytics and helping them apply those advances to practical business problems. Serve as a subject-matter guide for the rest of the analytics team in an analytics field such as Python, machine learning, Databricks, or solution pattern development.
Work on projects across various analytics, technical, and business domains—expect to tackle a significantly different project every year or two.
Work on full-stack problems: analysts usually capture requirements, develop the solution, implement data and analytics components, and ensure results meet internal partner needs.
Aon is a leading company in assisting clients worldwide to handle their most significant risks. Whatever drives you—be it a location, a technology, or a social issue—Aon is likely a front runner in that area.

Requirements

• Intermediate Python and SQL skills are required, including experience with modifying and maintaining Python-based ETL pipelines.
• Write queries in real time to support collaborator discussions.
• Use tools like Databricks and Power BI to provide data and analytics results.
• Experience applying machine learning and other sophisticated analytics techniques.
• Presenting findings in a clear, compelling way that develops real-world value for internal clients.
• Strong business analysis skills, able to work independently with business units to develop analytics strategy, identify high-value opportunities, and build effective solutions.
• Foundational project and product ownership skills include managing tasks and timelines for small projects and acting as Product Owner for data-focused work in an agile, distributed, and matrixed setting.
• Bachelor’s degree or equivalent experience in a quantitative field (such as Data Science, Computer Science, Mathematics, Statistics, or similar).

Nice To Haves

• Experience in the insurance sector, particularly small business P&C brokerage.
• Familiarity with GraphQL and D&B Hoovers or comparable small business data is valued.
• Expert knowledge in areas like Databricks, Python, generative AI, DevOps for analytics, business analysis, P&C analytics, or third-party data sources such as D&B is also desirable.

Responsibilities

• Engage directly with business units to provide data solutions and insights.
• Lead small project teams to build practical analytics solutions.
• Meet with business leaders to understand their analytics needs.
• Define solutions to analytics problems.
• Build algorithms, data pipelines, and dashboards using tools like Databricks and Power BI.
• Assist other analysts by reviewing and contributing to their projects.
• Partner with business, marketing, IT, and other collaborators to understand business needs, build analytics strategies, and develop high-value analytics solutions.
• Perform business analysis to define requirements, prioritize work, and translate business questions into actionable analytics and reporting.
• Compose and build Python-based algorithms and data pipelines.
• Build interactive dashboards so that your results reach decision makers.
• Provide thought leadership to business units by educating them about advances in analytics and helping them apply those advances to practical business problems.
• Serve as a subject-matter guide for the rest of the analytics team in an analytics field such as Python, machine learning, Databricks, or solution pattern development.
• Work on projects across various analytics, technical, and business domains.
• Work on full-stack problems: capture requirements, develop the solution, implement data and analytics components, and ensure results meet internal partner needs.

Benefits

• a 401(k) savings plan with employer contributions
• an employee stock purchase plan
• consideration for long-term incentive awards at Aon’s discretion
• medical, dental and vision insurance
• paid time off at the discretion of the employee and management in accordance with company policy and practices
• Various other types of leaves of absence
• paid sick leave as provided under state and local paid sick leave laws
• short-term disability and optional long-term disability
• health savings account
• health care and dependent care reimbursement accounts
• employee and dependent life insurance and supplemental life and AD&D insurance
• optional personal insurance policies
• adoption assistance
• tuition assistance
• commuter benefits
• an employee assistance program that includes free counseling sessions

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level