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Data Collection Jobs in Garland, TX (NOW HIRING)

Texas A&M AgriLife

Lead Data Analyst

Dallas, TX · On-site

Supervise the establishment, maintenance, and improvement of data collection systems; direct data collection and quality assurance activities, including programming forms, monitoring data integrity ...

TSMG

Data collector / Driver

Irving, TX · On-site

Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points ...

TSMG

Data collector / Driver

Fort Worth, TX · Remote

Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points ...

TSMG

Data collector / Driver

Irving, TX · Remote

Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points ...

TSMG

Data collector / Driver

Fort Worth, TX · On-site

Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points ...

Apex Informatics

Senior Big Data Engineer

Plano, TX · On-site

$53.25 - $70.50/hr

Looking for true software engineering skill set. Experience working with large data sets, ETL, or applications that do high-volume data collection. Spark or other large scale data processing AWS ...

Orionyx Enginnering

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

Data Collection and Management: * Gather and organize large sets of structured and unstructured data from various sources, including databases, spreadsheets, and project management tools. * Ensure ...

PROLIM Global Corporation

Data Scientist

Plano, TX · On-site

Core Roles and Responsibilities Data Collection and Preparation: Gathering unstructured and structured data from multiple sources, then cleaning and preprocessing it to ensure data quality and ...

Noor WFS

Part-Time Data Collector

Dallas, TX

$33/hr

The project is expected to start with training in August 2026, followed by approximately 7-8 weeks of data collection (ending in October 2026). Data collectors can expect to work Monday- Friday ...

Jobsultant Solutions

Data Entry Operator

Dallas, TX · On-site

Info / Data collection from different websites or sources and entry in the given template * Assist to Sales/Marketing team for various supports * Any other task assigned by the management Additional ...

DuraServ Corp

Data Processing Specialist

Coppell, TX · On-site

Reporting directly to the Data Analyst for National Accounts, your primary responsibilities will focus on data collection, management, and maintenance to support the department's operational needs ...

Vistra Energy

Associate Data Analyst-Retail

Irving, TX · On-site

Developing and implementing data collection systems and other strategies that optimize data quality. * Build and maintain data pipelines and datamarts that consolidate consultant, customer, sales ...

HireWorks, LLC

Data Analyst

Dallas, TX · On-site

Create data visualizations that clearly communicate findings to both technical and non-technical audiences. * Assist with data collection, cleaning, validation, and quality assurance. * Prepare ...

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Showing results 21-40

All JobsData Collection JobsData Collection Jobs in Garland, TX

Data Collection information

See Garland, TX salary details

$15

$24

$30

How much do data collection jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data collection in Garland, TX is $24.45, according to ZipRecruiter salary data. Most workers in this role earn between $22.55 and $25.10 per hour, depending on experience, location, and employer.

What is data collection?

Data collection is the process of gathering and measuring information on targeted variables in a systematic way to answer research questions, test hypotheses, or evaluate outcomes. It is a critical first step in research, analytics, and decision-making, ensuring that the data collected is accurate, reliable, and relevant. Data collection can be done through various methods, including surveys, interviews, observations, or digital tools, depending on the objectives and resources available. Proper data collection enables organizations and researchers to make informed decisions based on evidence and trends.

What are the key skills and qualifications needed to thrive as a data collection specialist?

To thrive as a Data Collection Specialist, you need strong analytical abilities, attention to detail, and a background in statistics or data management, often supported by a relevant degree or coursework. Familiarity with data collection tools like survey platforms, Excel, and database management systems, as well as knowledge of data privacy regulations, is essential. Strong organizational skills, clear communication, and adaptability help ensure accuracy and efficiency in gathering and recording data. These skills are crucial for collecting reliable data that supports informed decision-making and organizational objectives.

What are some common challenges faced by professionals in data collection roles, and how can they be overcome?

Data collection professionals often encounter challenges such as ensuring data accuracy, managing large volumes of data, and maintaining data privacy. Inaccurate or incomplete data can compromise analysis, so attention to detail and robust validation processes are essential. Additionally, collaborating closely with other team members, such as analysts and IT staff, helps streamline workflows and troubleshoot issues quickly. Staying updated on best practices and using reliable tools can further improve efficiency and data quality.

What is the difference between Data Collection vs Data Analyst?

AspectData CollectionData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require certifications in data toolsBachelor's degree in data science, statistics, or related field; certifications like SQL or Python often preferred
Work EnvironmentFieldwork, surveys, online data gathering, or office-based data entryOffice setting, analyzing data sets, creating reports
Employer & Industry UsageResearch firms, marketing agencies, government agenciesTech companies, finance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding data collection methods and rolesAnalyzing data to derive insights and support decision-making

Data Collection involves gathering raw data through various methods, while Data Analysts interpret and analyze that data to generate insights. Both roles are essential in data-driven industries but focus on different stages of the data process.

How much money do data collectors make?

Data collectors typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the data collection tasks. Some positions may offer additional incentives or bonuses for meeting targets or working in specialized environments.

Is data collection a good job?

Data collection jobs involve gathering information for research, marketing, or analysis purposes and often require attention to detail and basic technical skills. These roles can be part-time or full-time, with varying pay and job stability depending on the industry and employer. They are generally suitable for individuals interested in data, research, and working in flexible or remote environments.

What are popular job titles related to Data Collection jobs in Garland, TX?

For Data Collection jobs in Garland, TX, the most frequently searched job titles are:

What cities near Garland, TX are hiring for Data Collection jobs?

Cities near Garland, TX with the most Data Collection job openings:

Data Collection jobs near you
Infographic showing various Data Collection job openings in Garland, TX as of August 2026, with employment types broken down into 72% Full Time, 14% Temporary, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $50,860 per year, or $24.5 per hour.

Lead Data Analyst

The Texas A&M University System

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

Job Title
Lead Data Analyst
Agency
Texas A&M Agrilife Research
Department
Dallas
Proposed Minimum Salary
Commensurate
Job Location
Dallas, Texas
Job Type
Staff
Job Description
About Texas A&M AgriLife
Texas A&M AgriLife is comprised of the following Texas A&M University System members:
  • Texas A&M AgriLife Extension Service
  • Texas A&M AgriLife Research
  • College of Agriculture and Life Sciences at Texas A&M University
  • Texas A&M Forest Service
  • Texas A&M Veterinary Medical Diagnostic Laboratory

As the nation's largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.
Click here to learn more about joining AgriLife!
Position Information
Job Summary:
The Lead Data Analyst, under general direction, serves as a technical lead on complex data projects. Provides technical oversight for the application of and compliance with technical standards. Completes reports and summaries for management and users including project status reports, problem reports, and progress summaries.
Responsibilities:
  • Provide leadership and strategic direction for data analysis activities across a portfolio of public health and nutrition research projects, ensuring alignment with organizational and research goals.
  • Supervise, mentor, and support data analysts and junior statisticians; delegate tasks, facilitate professional development, and provide technical guidance and quality assurance.
  • Oversee the design, implementation, and continual optimization of data analysis workflows, ensuring best practices are established and maintained across projects.
  • Review and document data structures to support both current and future research objectives at the program and institutional level.
  • Lead the development and application of advanced statistical models and methodologies, including but not limited to: multilevel modeling, mixed models for clustered randomized trials, longitudinal data analysis, and other advanced statistical techniques for complex datasets.
  • Oversee the design and execution of statistical analysis plans, including power and sample size calculations, for diverse study designs (e.g., randomized controlled trials, community-randomized trials, longitudinal cohorts) and ensure these meet funding requirements and research objectives.
  • Supervise the establishment, maintenance, and improvement of data collection systems; direct data collection and quality assurance activities, including programming forms, monitoring data integrity, and developing data cleaning procedures.
  • Coordinate acquisition, cleaning, merging, and management of data from multiple secondary sources (local, state, and national databases) and ensure robust data governance and compliance with relevant privacy and security policies.
  • Develop quality control assessments to identify and resolve data issues, implement process improvements, and train team members on best practices in data management and cleaning.
  • Oversee and ensure the quality of documentation for data workflows, cleaning, and analysis procedures, and ensure reproducibility and transparency across all stages of the analytic process.
  • Prepare or review reports, manuscripts, presentations, and visualizations of analytic findings for internal and external use; ensure clarity, accuracy, and suitability for various audiences.
  • Collaborate with principal investigators, multidisciplinary research teams, and external partners (including funding agencies and data stewards) to interpret findings, advise on data strategy, and translate results into actionable insights.
  • Lead the development of statistical and analytic sections of grant proposals, supporting funding initiatives and program growth.
  • Participate in strategic planning for the data analytics function and represent the data analysis team in broader organizational initiatives.
  • Performs other duties as assigned.

Required Qualifications:
  • Bachelor's degree in a relevant field (e.g., epidemiology, public health, biostatistics, nutrition, statistics, clinical research) or equivalent combination of education and experience.
  • At least 6 years of professional experience in data collection and analysis, including direct experience with statistical modeling and management of research datasets.
  • Proficiency in statistical programming languages (e.g., R, SPSS, Stata, SAS), data visualization tools (e.g., Tableau, Power BI), and database applications.
  • Demonstrated experience leading the preparation of research manuscripts and securing grant funding.
  • Excellent verbal and written communication skills with ability to effectively communicate with faculty and staff.
  • Detail oriented and ability to organize tasks and prioritize work with minimal supervision.
  • Ability to multi-task and work cooperatively with others.

Preferred Qualifications
  • Master's degree or Ph.D. in nutrition epidemiology or related field (e.g., public health, nutrition, statistics, or relevant education and experience meeting job expectations).
  • At least one year of related experience.
  • Experience working with and accessing local, state and national data sets (e.g., Texas health data, NHANES, WHI, Framingham Heart Study, etc.).
  • Experience developing valid, reliable composite scoring and screening instruments (e.g., Life's Simple 7; dietary screeners; etc.).
  • Knowledge and understanding of the mission and role of the Land Grant University System, including community-campus partnership and the Extension system.

What You Need to Know
Salary: Compensation is commensurate with the candidate's qualifications.
Flexible Work Arrangements: Flexible work schedules and remote work options may be available for this position, depending on the nature of the role and employee eligibility, in accordance with AgriLife Alternate Work Location Procedures.
Important Notice Regarding H1-B Sponsorship: Your employment at Texas A&M AgriLife may require nonimmigrant sponsorship. A Presidential proclamation issued on September 19, 2025, imposes a $100,000 fee on new H-1B petitions filed after September 21, 2025. Texas A&M AgriLife will NOT pay this fee. If the fee is imposed on your petition, this offer of employment will be revoked. If actions taken during your employment result in the imposition of this fee, your employment will be terminated. To the extent that this statement conflicts with any applicable System or member Policy, Regulation, or Rule, this statement will control. We recommend that you consult with your private immigration counsel at your own expense regarding potential implications.
In addition, on January 27, 2026, Texas Governor Abbott issued a moratorium on the filing of any new H-1B unless approved by the Texas Workforce Commission. Accordingly, if you will now or in the future require sponsorship for employment visa status this moratorium may affect our ability to employ you should you be selected as the final candidate.
Benefits and Leave:
  • Health, dental, vision, life and long-term disability insurance (AgriLife contributes to premiums)
  • 12-15 annual paid holidays
  • Up to 8 hours/month sick leave and at least 8 hours/month vacation
  • Automatic enrollment in the Teacher Retirement System of Texas
  • Employee Wellness Initiative
  • Access to ongoing professional development and training through Aspire, LinkedIn Learning, and internally developed programs

How to Apply
Applications must include all job application data or a complete resume. Incomplete applications may be rejected. Applicants are encouraged to upload a resume or use LinkedIn to prepopulate application fields.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.
Equal Opportunity/Veterans/Disability Employer.

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