Data Insights Analyst — Dashboards & Forecasts

Willis Towers Watson plc; New York (NY); Sur place; USD 35 000 - 50 000; Plein temps

Avantages offerts par ce poste

Health and welfare benefits

401(k) plan

Résumé du poste

Willis Towers Watson plc in New York seeks a data analyst to collect, clean, and analyze data from multiple sources, and develop models to reveal trends and business drivers.

You will create dashboards and reports to communicate findings to stakeholders, support forecasting and performance analysis, and collaborate with colleagues to translate requirements into actionable analytics. Knowledge of Excel and Python is expected.

Qualifications

• Strong analytical and problem-solving skills to interpret datasets.
• Proficient in Excel data manipulation and modeling.
• Experience with Python or a similar language.
• Understanding of statistics, regression, forecasting.
• Ability to visualize and communicate data via reports/presentations.
• Attention to data quality and detail.
• Good written and verbal communication to explain findings to non-technical audiences.
• Interest in financial, commercial or business analysis is advantageous.

Responsabilités

• Collect, clean, organize and analyze data from multiple sources.
• Develop analytical models to identify trends and drivers.
• Create dashboards, reports and presentations for stakeholders.
• Support benchmarking, forecasting and performance analysis.
• Use statistical and quantitative techniques to inform decisions.
• Collaborate with business and tech colleagues to translate requirements into outputs.
• Identify opportunities to improve quality, efficiency and automation of analytics and reporting.

Connaissances

Analytical thinking

Problem solving

Communication

Data interpretation

Attention to detail

Verbal communication

Financial/business analysis interest

Outils

Excel

Python

Description du poste

Willis Towers Watson plc in New York seeks a data analyst to collect, clean, and analyze data from multiple sources, and develop models to reveal trends and business drivers.

You will create dashboards and reports to communicate findings to stakeholders, support forecasting and performance analysis, and collaborate with colleagues to translate requirements into actionable analytics. Knowledge of Excel and Python is expected.