Sabeen B.

• Led workforce planning and scheduling strategies across peak, promotional, and seasonal periods, improving cost efficiency and service levels by using Microsoft Excel. • Developed data-driven forecasting models by analyzing sales trends, footfall, and seasonality to optimize staffing and support revenue growth on SQL. • Collaborated with senior leadership, HR, and cross-functional teams to align workforce strategy with business goals and labor budgets. • Designed and delivered executive dashboards and performance reports, translating workforce data into actionable insights that improved productivity and store performance by using Tableau and PowerBI.

Rewards Intelligence Data Analyst Provide Business insights using pivot tables, using up to date HR resources to build new strategies in partner companies to enhance their HR operations and compensation planning.

Managing Compensation Survey data in Rewards Data intelligence Team • Analysing large, complex datasets using Microsoft Excel to identify trends, patterns, and insights that drive business forecasting. Data mapping, Reviewing, Validation of information, Benchmarking, Analysis, investigation, macroanalysis and resolution of data issues • Working on data analysis projects by developing SQL queries, connecting Power BI to company’s compensation data base and building the dashboards and making analysis recommendations for key clients. • Working closely with stakeholders to understand their data requirements and objectives, translating them into actionable visualizations. • Providing training and support to clients on WTW methodology and Survey Management, Event supporting, Marketing, Custom Data Analytics and Work & Reward project. • Conducting ad-hoc data analysis for senior leadership, providing insights into compensation trends, survey grade system, and operational efficiency.

• Using effective design principles to present data, using built in tools such as Microsoft Excel, SQL and Power BI. • Analysis of customer data using SQL to extract actionable insights, identifying key trends that informed business decisions. • Data manipulation, data cleaning and preparing data for analysis to make reports and Designing visually appealing interactive dashboards, reports, and data visualization by using SQL and Power BI