2

Remote Data Cleaning Jobs in Dallas, TX (NOW HIRING)

Job Summary: The Data Analyst, under general supervision, assist with the management, cleaning ... Flexible work schedules and remote work options may be available for this position, depending on ...

New

... cleaning, summarizing, and validating data to support analysis and reporting • Experience ... Schedule Full-time, Monday through Friday Work Location Fully remote **Please note we will not ...

... CLEAN, simple ingredients. Many companies claim it. We actually mean it. As a leading provider of ... ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ...

... CLEAN, simple ingredients. Many companies claim it. We actually mean it. As a leading provider of ... ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ...

Sr Professional, Software Engineer

Dallas, TX · On-site +1

$121.20K - $159.80K/yr

... remote data sources. * Utilize Spring Framework to build and maintain backend services, ensuring ... Write clean, maintainable, and well-documented code following object-oriented programming ...

New

From downtown hotels and luxury resorts to private vacation rentals and remote cabins, Vogo offers ... Monthly house cleaning stipend * Annual travel allowance * Monthly cell phone & internet usage ...

next page

Showing results 1-20

Remote Data Cleaning information

What are the key skills and qualifications needed to thrive as a Remote Data Cleaning Specialist, and why are they important?

To thrive as a Remote Data Cleaning Specialist, you need strong analytical skills, attention to detail, and experience with data management, often supported by a degree in a quantitative field. Proficiency with tools such as Microsoft Excel, SQL, Python (pandas), and data visualization platforms is commonly required. Excellent problem-solving abilities, time management, and clear communication help you collaborate effectively and maintain data integrity. These skills ensure that datasets are accurate, reliable, and ready for analysis, which is crucial for informed business decision-making.

What are some common challenges faced when working remotely as a data cleaning specialist, and how can they be addressed?

Remote data cleaning specialists often encounter challenges such as inconsistent data formats, limited access to original data sources, and communication gaps with team members. To address these, it's important to establish clear data standards, use collaborative tools for real-time updates, and schedule regular check-ins with stakeholders. Staying organized and documenting data cleaning processes also helps maintain quality and ensures team alignment, even when working from different locations.

What is remote data cleaning?

Remote data cleaning is the process of identifying, correcting, or removing inaccurate, incomplete, or irrelevant data from datasets, all performed from a remote location rather than on-site. Professionals use specialized software and scripts to clean and organize data, ensuring its quality and consistency before analysis or use in business processes. This role is essential for organizations that rely on accurate data for decision-making and often involves tasks such as deduplication, error correction, and formatting standardization.

What is the difference between Remote Data Cleaning vs Remote Data Entry?

AspectRemote Data CleaningRemote Data Entry
Primary FocusIdentifying and correcting errors in datasets, improving data qualityInputting and updating data into systems accurately
Skills RequiredData analysis, attention to detail, familiarity with data toolsTyping speed, accuracy, basic computer skills
Work EnvironmentData analysis platforms, spreadsheets, specialized cleaning toolsData management software, spreadsheets, databases
CertificationsData analysis, Excel, database managementBasic computer skills, typing certifications

Remote Data Cleaning involves reviewing and correcting datasets to ensure accuracy, often requiring analytical skills. Remote Data Entry focuses on accurately inputting data into systems. While both roles require attention to detail, data cleaning emphasizes quality control, whereas data entry emphasizes speed and accuracy in data input.

What are the most commonly searched types of Data Cleaning jobs in Dallas, TX? The most popular types of Data Cleaning jobs in Dallas, TX are:
What job categories do people searching Remote Data Cleaning jobs in Dallas, TX look for? The top searched job categories for Remote Data Cleaning jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Data Cleaning jobs? Cities near Dallas, TX with the most Remote Data Cleaning job openings:
Infographic showing various Remote Data Cleaning job openings in Dallas, TX as of May 2026, with employment types broken down into 27% Internship, and 73% Full Time. Highlights an 100% Remote job distribution.

Data Analyst

Texas A&M AgriLife

Dallas, TX • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

189th of 528 rated colleges and universities


Job description

Data Analyst

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.

Job Summary: The Data Analyst, under general supervision, assist with the management, cleaning, integration, and analysis of public health and nutrition research data from multiple sources. Support statistical analyses, data collection systems, and reporting activities by preparing datasets, maintaining data integrity, and documenting analytical methods and findings. Completes reports and summaries for management and users including project status reports, problem reports, and progress summaries.

Responsibilities:

  • Assist in the design, implementation, and management of data analysis workflows for public health and nutrition research projects under the guidance of senior team members.
  • Support the review and documentation of data structures to facilitate the achievement of broader research objectives.
  • Provide assistance with statistical analyses by implementing established models and methodologies as directed, including preparing data for analysis by senior statisticians or researchers.
  • Work with various types of research data (e.g., dietary intake, accelerometry, self-reported outcomes) by assisting in organization, formatting, and preliminary evaluation.
  • Support the preparation of statistical analysis plans by conducting basic calculations and preliminary data reviews, such as assisting with power or sample size estimations.
  • Help maintain data collection systems by supporting data entry, assisting with programming forms, and conducting routine data cleaning procedures to ensure integrity and accuracy of data.
  • Assist in acquiring, cleaning, merging, and managing research data from local, state, and national secondary data sources under supervision.
  • Screen data for potential issues and assist in documenting and making routine corrections as needed.
  • Document data management and basic analysis procedures clearly and maintain well-organized records of processing steps.
  • Support the documentation of statistical approaches and the preparation of summary findings for review by senior staff.
  • Assist in drafting reports, organizing tables and figures, and assembling written descriptions of methods and results for manuscripts and presentations.
  • Provide technical and administrative support to researchers and team members, such as preparing datasets for sharing and ensuring compliance with data sharing requirements, as directed.
  • Assist in gathering background information and assembling materials for grant proposals to support research initiatives.
  • Perform other related duties as assigned to support research and administrative activities.

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 2 years of professional experience in data collection and analysis, including direct experience with statistical modeling and research datasets.
  • Proficiency in statistical programming languages (e.g., R, SPSS, Stata, SAS), data visualization tools (e.g., Tableau, Power BI), and database applications.
  • 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 multitask 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).
  • 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.

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.


What Texas A&M University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom