Mid-Level

Data Collector

You're responsible for gathering, recording, and verifying the raw data that powers analysis and decision-making. Whether it's conducting surveys, capturing field measurements, digitizing records, or harvesting data from systems, you ensure that the information organizations depend on is accurate, complete, and properly formatted.

Career Level
Junior
Mid
Senior
Director
VP
Executive
Work Personality
C
E
I
R
S
A
Conventionalorganizing, detail-oriented
Enterprisingleading, persuading
Based on Holland Code framework
Job markets for Data Collectors
Employment concentration ยท ~400 areas
Based on employment in related occupations
Mapped SOC categories:
BLS Occupational Employment Statistics
What it's like

What it's like to be a Data Collector

Your day is typically structured around data acquisition tasks. You might spend the morning conducting interviews or surveys in the field, then return to enter and verify data in a database or spreadsheet. Or you might be screen-scraping, using collection tools, or pulling records from multiple systems and standardizing them. The work demands consistency and attention to detail โ€” one mistyped entry can cascade through downstream analyses.

Quality control is woven into everything you do. You're often cross-referencing sources, checking for duplicates, and flagging inconsistencies before passing data along to analysts or researchers. You may follow established protocols precisely, especially in research or regulatory contexts where data integrity is critical. Communication with the teams who use your data helps you understand what matters most and how to prioritize.

People who tend to thrive here are meticulous, patient individuals who take pride in accuracy. If you find satisfaction in doing careful work that other people depend on, and you can maintain focus through repetitive tasks without letting quality slip, the role can be very rewarding. If you need constant variety or creative challenges, the structured nature of data collection can feel monotonous.

RelationshipsModerate
SupportModerate
IndependenceLower
Working ConditionsLower
AchievementLower
RecognitionLower
O*NET Work Values survey
StrategyExecution
InfluencingDirected
StructuredAdaptable
ManagingContributing
CollaborativeIndependent
Collection methodField vs office workIndustry domainData sensitivityAutomation level
Data collection work **differs dramatically by context**. In research settings, you might be conducting structured interviews, administering assessments, or collecting biological samples with strict protocols. In corporate settings, the work often involves **extracting data from systems, cleaning spreadsheets, and digitizing records**. Field-based roles (environmental monitoring, census work, market research) look completely different from desk-based roles. The level of automation also varies โ€” some data collection is still highly manual, while other environments use automated scraping, IoT sensors, or integrated data pipelines.

Is Data Collector right for you?

An honest look at who tends to thrive in this role โ€” and who might find it challenging.

This role tends to work well for...
Detail-oriented people who take pride in accuracy
Data quality depends entirely on careful collection. If you naturally double-check your work and catch errors others miss, that precision is exactly what the role demands.
Patient individuals comfortable with repetitive tasks
Data collection often involves doing similar tasks consistently over extended periods. If you can maintain quality and focus through repetition, you'll be effective.
Those who like working within clear protocols
Many collection roles have well-defined procedures. If you find structure and clarity comfortable rather than constraining, you'll work well within established methods.
People who want to contribute to research or analysis
Everything analysts and researchers do depends on the data you collect. If contributing to a larger purpose motivates you even when your specific task feels routine, the connection to outcomes provides meaning.
This role tends to create friction for...
People who need constant intellectual challenge
Data collection can be repetitive by nature. If you need novel problems to stay engaged, the routine aspects of the work may not sustain your interest.
Those who want visible individual impact
Your contribution flows into others' analyses and decisions. If you need to see your name on the final output, the behind-the-scenes nature can feel unrewarding.
People who are careless with details
Small errors in data collection compound into big problems downstream. If precision under routine conditions isn't your strength, the quality expectations can be stressful.
Those seeking rapid career advancement
Data collection roles can sometimes have limited progression paths. Understanding where the role leads before committing is important.
โœฆ Editorial โ€” written by Truest from industry research and career patterns
Career Paths

Where this role sits in the broader career landscape โ€” and where it can take you.

$239K$179K$119K$60K$0KLower paying387 metro areas, sorted by salary level
All experience levels1
This level's estimated range
INDUSTRIES PAYING ABOVE AVERAGE
1 BLS OEWS May 2024 covers all Data Collectors (SOC 19-3022.00, 43-3011.00, 43-4111.00, 43-5111.00, 43-9021.00), not just this title ยท BEA RPP 2023
* Top salaries exceed this figure. BLS caps reported wages at ~$240K to protect individual privacy in high-earning roles.
Exploring the Data Collector career path? Truest helps you figure out if it's the right fit โ€” and plan your path forward.
Explore career tools
1
Data analysis fundamentals
Understanding how collected data gets used helps you collect better data and opens paths to analyst roles
2
Database management
Knowing how databases work lets you handle data more efficiently and take on data management responsibilities
3
Automation and scripting
Learning to automate collection tasks with Python, web scraping, or ETL tools significantly increases your productivity and value
4
Quality assurance methodology
Formal QA skills let you design validation processes and move into data quality management roles
What types of data am I collecting, and from what sources?
How much of the work is field-based versus office-based?
What tools and systems are used for data collection and entry?
How does the team handle data quality validation?
What does career growth look like from this role?
โœฆ Editorial โ€” career progression and interview guidance based on industry patterns
The Broader Landscape

Roles like this one sit within a broader occupational category. The numbers below reflect that full landscape โ€” helpful for context, but your specific experience will depend on level, specialty, and where you work.

$30Kโ€“$119K
Salary Range
10th โ€“ 90th percentile
515K
U.S. Employment
-11.6%
10yr Growth
45K
Annual Openings

How this category is changing

$80K$77K$74K$71K$68K201920202021202220232024$68K$80K
BLS OEWS May 2024 ยท BLS Employment Projections 2024โ€“2034

Skills & Requirements

Reading ComprehensionSpeakingCritical ThinkingActive ListeningWritingActive ListeningMathematicsActive LearningActive ListeningComplex Problem Solving
O*NET OnLine ยท Bureau of Labor Statistics
19-3022.0043-3011.0043-4111.0043-5111.0043-9021.00

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Federal data: BLS Occupational Employment & Wage Statistics (May 2024) ยท BLS Employment Projections ยท O*NET OnLine
Truest editorial: Fit check, role profile, things that vary, advancement analysis, lateral moves, interview questions.