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Remote Data Jobs in Allen, TX (NOW HIRING)

Junior Data Entry Clerk (Remote)

Dallas, TX · Remote

$16.75 - $22.50/hr

If so, we have the perfect entry-level opportunity for you as a Remote Data Entry Operator at our company. About Us: We believe that data is the lifeblood of modern business. Our mission is to ...

Req ID: 367052 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Ontology Expert - Remote to join our team in Dallas, Texas (US-TX), ...

Req ID: 367052 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Ontology Expert - Remote to join our team in Dallas, Texas (US-TX), ...

Req ID: 367052 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Ontology Expert - Remote to join our team in Dallas, Texas (US-TX), ...

Senior Data Team Lead (Remote)

Dallas, TX · Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main ...

Senior Data Team Lead (Remote)

Dallas, TX · Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main ...

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

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Remote Data information

See Allen, TX salary details

$42.8K

$153.5K

$226.5K

How much do remote data jobs pay per year?

As of Jul 18, 2026, the average yearly pay for remote data in Allen, TX is $153,496.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,200.00 and $158,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What is the difference between Remote Data vs Remote Data Analyst?

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Allen, TX? The most popular types of Data jobs in Allen, TX are:
What are popular job titles related to Remote Data jobs in Allen, TX? For Remote Data jobs in Allen, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Allen, TX look for? The top searched job categories for Remote Data jobs in Allen, TX are:
What cities near Allen, TX are hiring for Remote Data jobs? Cities near Allen, TX with the most Remote Data job openings:

Junior Data Entry Clerk (Remote)

Only Data Entry

Dallas, TX • Remote

$16.75 - $22.50/hr

Full-time

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


Job description

CHECK YOUR EMAIL, INCLUDING YOUR SPAM FOLDER, FOR INSTRUCTIONS AFTER APPLYING

Are you ready to embark on a career that offers endless opportunities for growth and development? Do you have a passion for precision and an eye for detail? If so, we have the perfect entry-level opportunity for you as a Remote Data Entry Operator at our company.

About Us:

We believe that data is the lifeblood of modern business. Our mission is to empower organizations with the most accurate, up-to-date, and reliable data to drive their success. As a Remote Data Entry Operator, you will play a pivotal role in ensuring that our data remains pristine and ready for analysis.

Responsibilities:

  • Accurately input, update, and maintain large volumes of data into our database systems.
  • Verify and cross-reference data to ensure its accuracy and completeness.
  • Conduct data quality checks and resolve discrepancies in a timely manner.
  • Collaborate with other teams to gather and clarify data requirements.
  • Maintain data confidentiality and adhere to data security protocols.
  • Contribute to process improvement initiatives to enhance data entry efficiency.