Key Responsibilities

• Data Gathering & Mining: Collect data from databases, spreadsheets, surveys, or software systems.
• Cleaning & Validation: Remove errors, fix missing information, and ensure data quality.
• Analysis & Interpretation: Use statistical tools and patterns to spot trends, risks, and opportunities.
• Reporting & Visualization: Build dashboards, charts, and slide decks in tools like Power BI, Tableau, or Excel.
• Stakeholder Collaboration: Meet with department heads to understand needs, map workflows, and present recommendations.

Required Skills & Qualifications

• Education: Bachelor’s degree in Business, Computer Science, Statistics, Economics, Mathematics, or a related field.
• Technical Skills:
• Proficiency in Excel, SQL for querying databases, and data visualization software (Tableau or Power BI).
• Familiarity with programming or scripting languages like Python or R (depending on the specialty).
• Soft Skills: Strong critical thinking, attention to detail, and the ability to explain technical findings to non-technical teams.

Responsibilities

• Gather, collect, and mine data from primary and secondary sources, including databases, spreadsheets, and various data collection systems
• Interpret and analyze complex datasets using statistical tools, analytics software, and data visualization techniques to identify trends, patterns, and anomalies
• Develop and maintain databases, data systems, and spreadsheets to track important me