AON Recruitment Drive; Hiring Data Analyst – Apply Now

AON looking for a highly motivated and innovative individual to join their team as an Analyst. The ideal candidate should possess the ability to innovate, collaborate, and thrive in ambiguous and uncharted territories. They should have a strong interest in combining data science, business concepts, and technology, along with an analytical mindset and exceptional problem-solving skills. A willingness to learn and grow in a dynamic environment is essential. AON are seeking someone with proficiency in one or more of the following areas: Data Analysis, Data Engineering, or Machine Learning.

Name of the Organization: AON

Requisition ID: 82260

Positions: Data Analytics - Analyst

Location: Bangalore

Salary: As per company Norms

Required Qualifications:

• Any Graduate or Post-Graduate (full time)
• Required years of experience – 0-2 years of relevant experience

Skills Desirable:

• Bachelors or Master’s degree in computer science or related field.
• Internship or project experience in data analysis, data science, or data engineering.
• Knowledge of big data technologies and cloud platforms such as AWS, Azure.
• Proficiency in Python, R or others.
• Exposure to database concepts to help acquire, query, and maintain the data environment (e.g., MS SQL or others).
• Proficiency in developing user friendly and interactive dashboards on Data visualization tools such as Power Bi, Tableau or others is a plus
• Knowledge of various machine learning techniques (e.g., clustering, decision tree learning, artificial neural networks) and their real-world advantages/drawbacks is a plus
• Experience in building and maintaining data ingestion pipelines and data transformations using Databricks, Trifacta, etc., with knowledge of cloud technologies is a plus
• Knowledge of advanced analytics, statistical techniques, and concepts (e.g., regression, properties of distributions, statistical tests) and experience with applications is a plus

Business Acumen:

• Ability to learn, adopt, and apply business concepts in a short amount of time.
• Develop analytics solutions using technical and business domain knowledge.

Communication & Presentation:

• Strong communication skills and a desire to work in a team environment.
• Experience communicating technical concepts to a non-technical audience.
• Excellent verbal and written communication skills.
• Strong organizational and multi-tasking skills.

Responsibilities:

• Collect requirements and design advanced analytics ranging from descriptive to predictive models, machine learning techniques, and further AI and RPA.
• Monitor incoming data analytics requests, execute analytics as requested, and distribute the results efficiently and effectively.
• Plan and moderate periodic data analytics champions meetings and communicate required information with the team.
• Develop, implement, support, and maintain data analytics protocols, standards, and documentation.
• Analyze complex data, identify anomalies, trends, risks, and provide usable insights to improve internal controls.
• Prepare documentation and analytic dashboards/reports that effectively and efficiently provide summarized results, analysis, and conclusions to stakeholders, with supporting details readily available.
• Address ad-hoc analytics requests and facilitate needed data acquisition to support internal projects, special projects, and investigations.
• Contribute to internal activities for overall process improvement, efficiencies, and innovation.
• Communicate data requirements and ensure the global team receives access to the source information needed, understanding data relationships to business processes.
• Assist global teams with the use of inquiry of key systems to facilitate understanding of data in the business process.
• Participate in department technology leadership work streams on support, knowledge management processes, and use of tools.
• Prepare written summaries to accompany results and maintain documentation.
• Understand business requirements and communicate effectively with business stakeholders.
• Clearly explain what the data and results indicate and how they can be utilized to support project objectives.

 

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