Description

Position Summary

We are seeking a Data Scientist to collect, analyze, and interpret complex data to support business decision-making. The role will focus on reporting, dashboard development, process automation, and delivering actionable insights using tools such as Microsoft Power BI and Microsoft Excel.

Key Responsibilities

• Collect, clean, validate, and analyze data from multiple sources.
• Develop and maintain recurring business and management reports.
• Design interactive dashboards and visualizations using MS Power BI.
• Build data models, measures, calculated columns, and reports in Power BI.
• Use MS Excel for data analysis, reporting, reconciliations, pivot tables, formulas, and ad hoc analysis.
• Identify opportunities to automate manual reporting and data processes.
• Develop automated workflows, templates, and reporting solutions to improve efficiency and accuracy.
• Monitor data quality and investigate discrepancies or unusual trends.
• Translate business requirements into analytical solutions and meaningful insights.
• Present findings to stakeholders in a clear and understandable manner.
• Collaborate with business, technology, and operations teams to support data-driven initiatives.
• Document reporting processes, dashboard definitions, and automation procedures.

Job Requirements

Details:

Required Skills and Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related field.
• Experience in data analysis, reporting, business intelligence, or a related role.
• Strong knowledge of Microsoft Power BI, including dashboard creation, data modeling, Power Query, and DAX.
• Advanced proficiency in Microsoft Excel, including pivot tables, lookup functions, conditional formulas, charts, and data validation.
• Experience developing recurring and ad hoc reports for business stakeholders.
• Demonstrated ability to automate repetitive reporting and data-processing tasks.
• Strong analytical, problem-solving, and attention-to-detail skills.
• Ability to communicate technical findings to non-technical audiences.

Preferred Qualifications

• Experience with SQL, Python, R, or other data-analysis tools.
• Knowledge of ETL processes and data warehouse concepts.
• Experience with Power Automate or other workflow-automation platforms.
• Familiarity with statistical analysis, forecasting, and predictive modeling.
• Experience working with large datasets and multiple data sources

Key Skills

Education

Any Graduate