Statistical Compilation

Term from Clerical Services industry explained for recruiters

Statistical Compilation is the process of gathering, organizing, and summarizing numerical information from various sources into clear reports or summaries. It's like putting together a puzzle where the pieces are numbers and data from different places. This skill is important in office settings where employees need to collect information from surveys, sales records, or other business data to create meaningful reports that help managers make decisions. When you see this term in a resume, it means the person knows how to take raw numbers and turn them into useful information through basic math and organizational skills.

Examples in Resumes

Performed Statistical Compilation of monthly sales data for regional offices

Created quarterly reports through Statistical Compilation and Data Compilation of customer surveys

Led team responsible for Statistical Compilation of annual employee performance metrics

Typical job title: "Statistical Clerks"

Also try searching for:

Data Entry Clerk Statistical Assistant Office Clerk Administrative Assistant Data Compiler Research Assistant Statistical Support Specialist

Example Interview Questions

Senior Level Questions

Q: How would you handle a large data compilation project with tight deadlines?

Expected Answer: Look for answers that show experience in project planning, delegating tasks, using spreadsheet shortcuts, and maintaining accuracy while working quickly.

Q: Tell me about a time you found errors in statistical data and how you handled it.

Expected Answer: Candidate should describe their attention to detail, problem-solving process, and how they implement double-checking procedures.

Mid Level Questions

Q: What methods do you use to ensure accuracy in statistical compilation?

Expected Answer: Should mention cross-checking numbers, using calculators or spreadsheet formulas, and having a system for organizing data.

Q: How do you prioritize multiple statistical compilation requests?

Expected Answer: Should discuss organizational skills, communication with supervisors about deadlines, and ability to manage multiple tasks.

Junior Level Questions

Q: What experience do you have with spreadsheet software?

Expected Answer: Should demonstrate basic knowledge of Excel or similar programs, including simple formulas and data entry skills.

Q: How do you maintain focus when working with numbers for long periods?

Expected Answer: Should show awareness of the importance of accuracy and mention strategies for maintaining concentration.

Experience Level Indicators

Junior (0-1 years)

  • Basic spreadsheet usage
  • Simple data entry
  • Basic math skills
  • Filing and organizing data

Mid (1-3 years)

  • Advanced spreadsheet functions
  • Data verification techniques
  • Basic statistical calculations
  • Report generation

Senior (3+ years)

  • Project management
  • Training junior staff
  • Complex data analysis
  • Process improvement

Red Flags to Watch For

  • Poor attention to detail in application materials
  • No experience with basic office software
  • Inability to explain basic math concepts
  • History of missing deadlines