Data Analyst

WTW•New York, NY
•$35,000 - $50,000

About The Position

The Data Analyst collects, cleans, organizes, and analyzes data from multiple internal and external sources. The role develops analytical models to identify trends, relationships, and key business drivers; creates dashboards, reports, and presentations to communicate findings to stakeholders; and supports benchmarking, forecasting, and performance analysis. The analyst applies statistical and quantitative techniques to answer business questions and inform decision-making, works with business and technical colleagues to translate requirements into analytical outputs, and identifies opportunities to improve the quality, efficiency, and automation of existing analysis and reporting.

Requirements

  • Strong analytical and problem-solving skills, including the ability to interpret complex datasets.
  • Good working knowledge of Excel, including data manipulation and analytical modelling.
  • Experience with Python or a similar analytical or 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.

Nice To Haves

  • Interest in financial, commercial, or business analysis.

Responsibilities

  • Collect, clean, organize, and analyze data from internal and external sources.
  • Develop analytical models to identify trends, relationships, and key business drivers.
  • Create dashboards, reports, and presentations that communicate findings to stakeholders.
  • Support benchmarking, forecasting, and performance analysis.
  • Apply 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.

Benefits

  • Medical insurance, including prescription drug coverage and fertility benefits
  • Dental insurance
  • Vision insurance
  • Health Savings Account
  • Commuter Accounts
  • Health Care and Dependent Care Flexible Spending Accounts
  • Company-paid life insurance and supplemental life insurance
  • AD&D, group accident, group critical illness, and group legal benefits
  • Identity theft protection
  • Wellbeing program
  • Adoption assistance and surrogacy assistance
  • Auto and home insurance
  • Pet insurance
  • Employee Assistance Program and other work/life resources
  • Paid holidays and annual paid time off
  • Company-paid short-term and long-term disability
  • Other leaves, including bereavement, FMLA, ADA, jury duty, military leave, and Parental and Adoption Leave
  • Qualified contributory pension plan, if eligible
  • 401(k) plan with annual nonelective company contribution
  • Non-qualified retirement plans for eligible senior-level colleagues
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