The careful, repetitive work of preparing and checking data so analysts can trust it — entering, cleaning, verifying, and organizing the numbers behind every report. Accuracy at the foundation, where errors multiply if missed.
The work runs through entering and compiling data, checking it against sources, cleaning errors, running basic analyses, and producing routine reports. The pace is steady and detail-driven, mostly at a desk. A small error here poisons everything downstream, so verification is the heart of the job, and the routine rewards consistency over speed, hour after hour.
What people underestimate is the focus sustained accuracy actually takes — it looks easy until one wrong entry skews a report. The work can be repetitive, the pay modest, and much of it is invisible unless something goes wrong. Tools and systems vary by organization, though the discipline of careful checking carries across them.
It suits someone meticulous, patient, and comfortable with detailed routine. If you crave variety or creative problem-solving, the repetition can wear. But if there's quiet satisfaction in being the reason the data can be trusted — and you want a foothold into analytics — the role tends to offer a solid, steady start.
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Roles like this one sit within a broader occupational category. The numbers below reflect that full landscape — helpful for context, but your specific experience will depend on level, specialty, and where you work.
Roles with similar work and overlapping career paths
View all Technology roles →The careful, repetitive work of preparing and checking data so analysts can trust it — entering, cleaning, verifying, and organizing the numbers behind every report. Accuracy at the foundation, where errors multiply if missed.
Median pay for a Data Analysis Clerk is about $51K nationally, with the field ranging roughly from $38K to $79K depending on experience, employer, and metro (BLS).
Core skills for this role include Mathematics, Reading Comprehension, Critical Thinking, Complex Problem Solving, and Active Learning.
Most people in this role hold a bachelor's degree.
Employment in this field is projected to decline about 2.5% through 2034, with roughly 5,900 people working in it today (BLS).
Closely related roles include Data Operations Director, Data Science Engineer, and Marketing Data Scientist.
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