Many jobs are Spreadsheets
These roles span multiple industries and often require skills in data modeling and visualization. Here are some examples:
Business and Management
Business Analyst
Tasks: Analyze sales, operations, or market trends to create actionable reports.
Tools: Excel, Google Sheets, Tableau, Power BI.
Operations Manager
Tasks: Monitor KPIs, create efficiency reports, and analyze workforce productivity.
Product Manager
Tasks: Conduct user behavior analysis, A/B testing results, and feature impact studies.
Finance and Accounting
Financial Analyst
Tasks: Budget forecasting, investment performance tracking, and financial health reporting.
Accountant
Tasks: Tax preparation, cost analysis, and income statement evaluations.
Risk Analyst
Tasks: Perform risk assessments using statistical models in spreadsheets.
Marketing and Sales
Marketing Analyst
Tasks: Analyze campaign performance, market segmentation, and customer journey trends.
Metrics: ROI, conversion rates, and audience engagement.
Sales Analyst
Tasks: Sales forecasting, quota performance analysis, and territory effectiveness reports.
Supply Chain and Operations
Supply Chain Analyst
Tasks: Inventory management, demand forecasting, and logistics optimization.
Procurement Analyst
Tasks: Vendor performance analysis, cost savings tracking, and price trend evaluations.
Data and IT
Data Analyst
Tasks: Perform statistical analyses on datasets, prepare dashboards, and automate reporting.
IT Analyst
Tasks: Monitor system performance, create reports on downtimes or system usage patterns.
Healthcare and Research
Healthcare Analyst
Tasks: Track patient outcomes, cost analyses, and process improvements.
Research Analyst
Tasks: Statistical modeling for academic or market research, presenting findings in reports.
Education
Academic Researcher
Tasks: Conduct quantitative studies, analyze survey results, and report on educational outcomes.
Educational Analyst
Tasks: Analyze student performance data and recommend curriculum adjustments.
Human Resources
HR Analyst
Tasks: Evaluate employee engagement surveys, turnover rates, and compensation trends.
Common Skills and Tools:
Skills: Statistical analysis, data visualization, critical thinking, and proficiency in Excel or Sheets.
Tools: Advanced spreadsheet features (pivot tables, macros, formulas), Power BI, Tableau, or R/Python for advanced users.
These roles are critical in transforming raw data into actionable insights to support decision-making and drive strategies across industries.