Data Analyst

WTW

New York, NYFull time
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Location
New York, NY
Job type
Full time
Posted
Oct 23
2 days ago
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About the company

WTW

Financial services · 10,001+ employees

WTW on LinkedIn

What you'll do

  • Collect, clean, organize and analyze data from multiple internal and external sources.
  • Develop analytical models to identify trends, relationships and key business drivers.
  • Create dashboards, reports and presentations that clearly communicate findings to stakeholders.
  • Support benchmarking, forecasting and performance analysis.
  • Use statistical and quantitative techniques to answer business questions and inform decision-making.
  • Work with business and technical colleagues to understand requirements and translate them into analytical outputs.
  • Identify opportunities to improve the quality, efficiency and automation of existing analysis and reporting.

What you need

  • Strong analytical and problem-solving skills, with the ability to interpret complex datasets.
  • Good working knowledge of Excel, including data manipulation and analytical modelling.
  • Experience with Python or a similar analytical/programming language.
  • Understanding of statistics, regression, forecasting and other quantitative techniques.
  • Ability to visualize and communicate data effectively through reports and presentations.
  • Strong attention to detail and commitment to data quality.
  • Good written and verbal communication skills, including the ability to explain analytical findings to non-technical audiences.
  • Interest in financial, commercial or business analysis would be advantageous.

Key skills

data analysismodellingclear communicationstructured and unstructured datareporting

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See full description on company page, apply now

Read the full posting here
The Data Analyst will support business and strategic decision-making through data analysis, modelling and clear communication of insights. The role will work with a range of structured and unstructured data, helping teams identify trends, improve reporting and turn data into practical recommendations.

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