Job
Description
The team works on data collected from various business domains, including Rewards, Health, Assessments, HR, McLagan, and Radford, continually seeking new opportunities to develop innovative analytical products that can potentially generate future revenue streams. Leveraging advanced applications and statistical/data-science expertise, the team engages in hypothesis testing, prescriptive analysis, and predictive analytics to address critical business/client inquiries using tools like Python, SQL, and Databricks. Insights are communicated through visualization tools such as Tableau, Power BI, PowerPoint, or VBA-powered Excel dashboards. Additionally, the team supports consulting studies/products within the HCS People and Performance Analytics portfolio. As a member of the Rewards Innovation Team, you will have the chance to collaborate with Aon Clients and global leaders, contributing to Aon's strategic initiatives. By utilizing your skill set, you can make a significant impact across various domains, transforming businesses and touching lives worldwide. This role offers a unique opportunity to work closely with a small team, gaining visibility among Aon Leadership both onshore and offshore. Moreover, you will have the opportunity to delve into advanced analytics areas like NLP (text analytics) and Machine Learning. As a team member, you should be adaptable in acquiring new skills quickly to align with evolving business requirements. An analytical mindset is crucial for conducting data analysis and visualization on extensive datasets. Strong problem-solving skills and coding for automation will enable you to explore new possibilities, enhance efficiency, and deliver innovative solutions. Effective presentation skills for senior leaders and the ability to create client-ready reports are essential. Proficiency in creating SQL queries and performing database operations like creating views and procedures are also necessary. Basic knowledge of VBA, Tableau/Power BI, or Python is essential, along with intermediate proficiency in Statistics, SQL, and MS applications. Familiarity with any programming language is advantageous. Key Requirements: - Good communication skills - Logical reasoning - Analytical abilities - Data interpretation This role necessitates comfort working in an unstructured environment, as it involves exploratory projects without clearly defined modes of operation or start and end objectives. A resilient attitude is imperative, as research may involve experimenting with multiple unsuccessful approaches until the optimal solution is identified. You should possess high data acumen, attention to detail, and the ability to identify patterns effectively. Strong logical reasoning skills, coupled with a problem-solving drive, are essential. The capability to comprehend complex requirements and articulate intricate ideas across teams is critical for success in this role.,
