Insightful Data Analyst - Dashboards, Forecasting & Impact

WTW; New York (NY); On-site; USD 35,000 - 50,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Job summary

WTW in New York, NY seeks a data analytics professional to collect, clean and analyze data from multiple sources. You will develop analytical models to identify trends and business drivers, and create dashboards and reports for stakeholders.

The role supports benchmarking, forecasting and performance analysis, using statistical techniques to inform decisions. Collaborate with business and technical teams to translate requirements into outputs, improve data quality, and automate reporting where

Qualifications

• Strong analytical and problem-solving abilities with data interpretation.
• Proficient in Excel for data manipulation and modelling.
• Experience with Python or similar analytics language is desirable.
• Ability to visualize data effectively and present findings.

Responsibilities

• Collect, clean, organize and analyze data from multiple sources.
• Develop analytical models to identify trends and key business drivers.
• Create dashboards, reports and presentations for stakeholders.
• Support benchmarking, forecasting and performance analysis.
• Use statistical techniques to inform decision-making.
• Translate requirements into analytical outputs with colleagues.
• Identify opportunities to improve quality, efficiency and automation.

Skills

Analytical thinking

Data interpretation

Communication skills

Attention to detail

Problem solving

Data visualization

Tools

Excel

Python

Job description

WTW in New York, NY seeks a data analytics professional to collect, clean and analyze data from multiple sources. You will develop analytical models to identify trends and business drivers, and create dashboards and reports for stakeholders.

The role supports benchmarking, forecasting and performance analysis, using statistical techniques to inform decisions. Collaborate with business and technical teams to translate requirements into outputs, improve data quality, and automate reporting where