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Remote Data Jobs in Madison, AL (NOW HIRING)

Hexagon AB

RMS Implementer (Remote- US)

Madison, AL · On-site +1

RMS Implementer (Remote- US) Job Location (Short): Madison, Alabama-USA Workplace Type: Remote Req Id: 3065 Responsibilities As a RMS Implentation Analyst, you will use your experience to help adapt

Summit 7 Systems

ServiceNow Data Analyst

AL · On-site +1

$80K - $100K/yr

Position Title: ServiceNow Data Analyst Position Type: Technical Clearance: n/a Location: Huntsville, AL SOC Code: 15-2051 Salary*: $80,000 - 100,000 per year *Dependent upon qualifications Summit 7

Hexagon AB

CAD Implementer (REMOTE-US)

Madison, AL · On-site +1

CAD Implementer (REMOTE-US) Job Location (Short): Madison, Alabama-USA Workplace Type: Remote Req Id: 2166 Responsibilities Reporting to the Professional Services Manager, the CAD Implementer will

Summit 7 Systems

ServiceNow Data Analyst

Huntsville, AL · Remote

$80K - $100K/yr

Position Title: ServiceNow Data Analyst Position Type: Technical Clearance: n/a Location: Huntsville, AL SOC Code: 15-2051 Salary*: $80,000 - 100,000 per year *Dependent upon qualifications Summit 7

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All JobsData JobsRemote Data JobsRemote Data Jobs in Madison, AL

Remote Data information

See Madison, AL salary details

$41.2K

$147.9K

$218.2K

How much do remote data jobs pay per year?

As of Jul 24, 2026, the average yearly pay for remote data in Madison, AL is $147,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $152,300.00 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 Madison, AL? The most popular types of Data jobs in Madison, AL are:
What are popular job titles related to Remote Data jobs in Madison, AL? For Remote Data jobs in Madison, AL, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Madison, AL look for? The top searched job categories for Remote Data jobs in Madison, AL are:
What cities near Madison, AL are hiring for Remote Data jobs? Cities near Madison, AL with the most Remote Data job openings:
Remote Data jobs near you
Infographic showing various Remote Data job openings in Madison, AL as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,852 per year, or $71.1 per hour.
Senior Enterprise Data Architect | 100% Remote (EST Candidates Only)

Senior Enterprise Data Architect | 100% Remote (EST Candidates Only)

Apetan Consulting llc

Huntsville, AL • Remote

$68.75 - $92/hr

Contractor

Posted 7 days ago

Job description

Job Title: Senior Enterprise Data Architect
Work Mode: 100% Remote (EST Candidates Only)
Job Type: Long Term Contract
We are seeking a Data Architect (Go Getter Attitude) who operates at the intersection of data modeling, business understanding, and analytical insight. This role is not limited to designing schemas—it requires a deep curiosity about how the business works and the ability to translate that understanding into scalable, coherent data domains and models that serve both analytical and operational needs.

Key Responsibilities

  • Lead the design and evolution of enterprise data models, including conceptual, logical, and physical layers.
  • Translate complex business processes, entities, and relationships into well-structured data domains and models.
  • Partner closely with business stakeholders to understand workflows, metrics, and decision-making processes, and reflect them accurately in data structures.
  • Develop models that support both analytical use cases (e.g., reporting, BI, data science) and non-analytical use cases (e.g., operational systems, APIs).
  • Establish and enforce data modeling standards, naming conventions, and governance practices across the organization.
  • Collaborate with data engineers to ensure models are implemented efficiently in modern data platforms (e.g., warehouses, lakehouses).
  • Analyze existing data systems to identify gaps, redundancies, and opportunities for simplification or improvement.
  • Drive domain-oriented data architecture (e.g., data mesh principles) where appropriate, ensuring clear ownership and boundaries.
  • Ensure data models are scalable, maintainable, and aligned with long-term business strategy.

Qualifications

  • Strong experience in data modeling (dimensional, normalized, and hybrid approaches).
  • Demonstrated ability to deeply understand business domains and map them into data structures.
  • Proficiency with SQL and experience working with modern data platforms (e.g., Snowflake, BigQuery, Databricks).
  • Solid analytical skills, with the ability to explore and validate data against real business scenarios.
  • Experience collaborating with both technical teams and non-technical stakeholders.
  • Familiarity with data governance, metadata management, and data quality frameworks.
  • Ability to think abstractly about systems while also engaging with detailed data-level implementation.

Preferred Attributes

  • Experience designing data domains aligned to business capabilities or bounded contexts.
  • Background in analytics, BI, or data science that informs modeling decisions.
  • Comfort working in evolving environments where both business and data structures are still being defined.
  • A strong sense of ownership and curiosity about how data reflects real-world business processes.

What the role is not

  • An ETL or a Data Integration Architect