Aon is hiring for IND Analyst Role | Apply Now

Role :

IND Analyst

Location :

WORK FROM HOME

JOB DESCRIPTION:

Any skills related to the role
the selected Should have excellent English communication with a decent accent
the selected persons must have basic knowledge about Data Analysis

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What you will do

- Any skills related to the role
- the selected Should have excellent English communication with a decent accent
- Gather requirements and create machine learning techniques, more AI and RPA, and sophisticated analytics spanning from descriptive to predictive models.
  Keep an eye on incoming requests for data analytics, carry out the desired analysis, and effectively and efficiently share the findings.
  Arrange and lead recurring meetings for data analytics champions, and provide necessary information with the group.
  Create, put into practice, assist, and keep up with data analytics standards, procedures, and documentation.
  Analyse complicated data, spot trends, abnormalities, and dangers, then offer actionable advice on how to strengthen internal controls.
  Create documentation and analytical dashboards/reports that efficiently and effectively give stakeholders a summary of the analysis, findings, and conclusions together with easily accessible supporting information.
  Respond to requests for ad hoc analytics and help with the necessary data collecting for investigations, special projects, and internal initiatives.
  Participate in internal initiatives to enhance overall process efficiency,

Education Required:

Any Graduation

Any stream

Fresher’s

Experienced also

skills

Any skills related to the role
the selected Should have excellent English communication with a decent accent
the selected persons must have basic knowledge about Licencing
BASIC QUALIFICATIONS
- master’s or bachelor’s degree in computer science or a similar discipline.
  Experience with projects or internships in data science, data engineering, or data analysis.
  familiarity with big data technologies and cloud computing platforms like Azure and AWS.
  mastery in R, Python, and other languages.
  exposure to database principles (e.g., MS SQL or others) to aid in the acquisition, querying, and upkeep of the data environment.
  It is advantageous to have experience creating interactive and user-friendly dashboards using data visualisation programs like Tableau, Power Bi, and others.
  Familiarity with diverse machine learning methodologies (such as clustering, decision tree learning, and artificial neural networks) along with their practical benefits and downsides is advantageous.
  Cloud technology expertise is a plus. Experience creating and managing data intake pipelines and data transformations utilising Databricks, Trifacta, etc.
  Understanding

HOW TO APPLY :

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