2

Remote Data Jobs in High Ridge, MO (NOW HIRING)

Data Entry Specialist I Contract Type / Duration: Contract - 6 Months Location ... Remote - Missouri Residents Only Work Hours: Training: Monday-Friday, 8:00 AM - 4:30 PM CST (first ...

Senior Data Engineer

Saint Louis, MO · Remote

$103K - $140K/yr

... PA, Remote-RI, Remote-VA, St. Louis, Missouri Details Kemper is one of the nation's leading ... We areseekinga highly skilledSenior Data Engineerto guide the design, development, and delivery of ...

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to ...

We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative team of talented professionals. You are not afraid to make impact where your opinion matters in a ...

next page

Showing results 1-20

Remote Data information

See High Ridge, MO salary details

$42K

$150.7K

$222.4K

How much do remote data jobs pay per year?

As of Aug 1, 2026, the average yearly pay for remote data in High Ridge, MO is $150,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,900.00 and $155,200.00 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 cities near High Ridge, MO are hiring for Remote Data jobs? Cities near High Ridge, MO with the most Remote Data job openings:
Infographic showing various Remote Data job openings in High Ridge, MO as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $150,687 per year, or $72.4 per hour.

Data Entry

Workforce Connections

Saint Louis, MO • Remote

$23/hr

Contractor

Posted 5 days ago


Job description

Job Title: Data Entry Specialist I

Contract Type / Duration:
Contract – 6 Months

Location:
Remote – Missouri Residents Only

Work Hours:
Training: Monday–Friday, 8:00 AM – 4:30 PM CST (first week)
Standard schedule follows training. Occasional overtime may be required based on workload.
Candidates must be located in the Central Time Zone.

Pay Rate:
$23.00/hour

Job Summary / Overview:
We are seeking detail-oriented Data Entry Specialists to support member and provider correspondence processing in a high-volume healthcare operations environment. This role focuses on accurately entering, reviewing, and processing requests while maintaining productivity and quality standards. Successful candidates will be comfortable working independently in a remote setting and managing a fast-paced workload.

Top Required Skills (Ranked):

  1. Data entry experience with strong attention to detail, accuracy, and technical proficiency.
  2. Ability to work independently in a high-volume, fast-paced environment with minimal distractions.
  3. Reliable remote work setup, including stable internet connectivity and a backup plan such as a hotspot.

Preferred Skills / Nice to Have:

  • Healthcare data entry experience
  • Claims processing experience
  • Correspondence, appeals, or medical records experience
  • General administrative or office support experience

Education Requirement:

  • High School Diploma or GED required

Certifications (if applicable):

  • None required

Additional Notes:

  • Minimum 1 year of data entry or general office experience required
  • Must be able to type at least 60 WPM with 95% accuracy
  • Experience working with healthcare-related data is strongly preferred
  • Candidates with only call center experience may not be a strong fit
  • Strong organizational skills and ability to maintain accuracy while meeting productivity goals are essential
  • Potential for extension and/or conversion to full-time employment
  • Candidate must be eligible for W-2 employment
  • No Corp-to-Corp (C2C) arrangements
  • Must be legally authorized to work in the U.S. without current or future sponsorship