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Remote Data Jobs in Alabama (NOW HIRING)

$60 - $73/hr

Project Manager, Data Conversion (Healthcare) LOCATION: Remote SCHEDULE: Standard Business Hours PAY RANGE: $60-73, dependent on qualifications TYPE: Contract, 6-9 months, Strong possibility of ...

Senior Healthcare Data Analyst - Remote

Centre, AL · Remote

$81K - $102K/yr

This position is fully remote. Overview The Healthcare Data Analyst Senior provides data analysis support to the customer by assisting with the development of reports and/or dashboards to monitor ...

This is a full-time 90% remote position, 10% to Brite's office in Reston VA. Key Responsibilities ... Generate and use simulated data to support training and testing of ML models. * Perform data ...

This position is fully remote. Overview The Healthcare Data Analyst Senior provides data analysis support to the customer by assisting with the development of reports and/or dashboards to monitor ...

Chief Digital & Data Officer Location ... United States (Remote) Interested applicants must reside in one of the following approved states:

Chief Digital & Data Officer Location ... United States (Remote) Interested applicants must reside in one of the following approved states:

Director, Data Architecture Location ... United States (Remote) Interested applicants must reside in one of the following approved states:

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Remote Data information

See Alabama salary details

$41.7K

$149.6K

$220.7K

How much do remote data jobs pay per year?

As of Jul 6, 2026, the average yearly pay for remote data in Alabama is $149,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $154,100.00 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 Alabama? The most popular types of Data jobs in Alabama are:
What cities in Alabama are hiring for Remote Data jobs? Cities in Alabama with the most Remote Data job openings:
Infographic showing various Remote Data job openings in Alabama as of June 2026, with employment types broken down into 82% Full Time, 11% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $149,570 per year, or $71.9 per hour.

Project Manager, Data Conversions (Remote)

The ABK Group

Remote

$60 - $73/hr

Full-time

Posted 29 days ago


Job description

TITLE: Project Manager, Data Conversion (Healthcare)
LOCATION: Remote
SCHEDULE: Standard Business Hours
PAY RANGE: $60-73, dependent on qualifications
TYPE: Contract, 6-9 months, Strong possibility of extension or conversion
JOB SUMMARY:
Our client is partnering with a major EHR software company to convert over 1,000 clients from a legacy system acquired from a competitor to their proprietary EHR system. This project will be executed in waves. The initial wave will include 20-50 clients, followed by subsequent waves involving 100+ clients each. The goal is to complete the conversion process in 10 waves.
RESPONSIBILITIES:
  • Lead and manage the data conversion process for EHR systems, ensuring timely and efficient execution.
  • Coordinate with various stakeholders to ensure smooth transitions and minimal disruption to client operations.
  • Develop and maintain project plans, timelines, and status reports.
  • Identify potential risks and develop mitigation strategies.
  • Ensure compliance with all relevant regulations and standards.
  • Other duties and responsibilities as assigned
REQUIREMENTS:
  • Previous experience with EHR systems; Long Term Care experience preferred but not required.
  • Proven project management experience, especially with large-scale and high-profile projects.
  • Strong understanding of data conversions and SQL.
  • Excellent organizational and communication skills.
  • Ability to work under stringent timelines and manage multiple priorities effectively.