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Remote Data Jobs in Florence, AL (NOW HIRING)

Kodama Systems Inc.

Remote Skidder Operator

Florence, AL · On-site +1

$20 - $30/hr

Remote Skidder Operator Note - this is mostly a remote/ work from home (WFH) position but may ... as customer outreach, data tracking, and operation documentation. Requirements: * 2+ years ...

ABB

Senior Project Engineer

Leighton, AL · Remote

$88K - $115K/yr

Remote {#LI-Remote} This role is contributing to the Electrification division in the United States. You will be mainly accountable for: * Leading and supporting commissioning of data centers ...

All JobsData JobsRemote Data JobsRemote Data Jobs in Florence, AL

Remote Data information

See Florence, AL salary details

$41.3K

$148.1K

$218.6K

How much do remote data jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote data in Florence, AL is $148,115.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,800.00 and $152,600.00 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 Florence, AL? The most popular types of Data jobs in Florence, AL are:
What job categories do people searching Remote Data jobs in Florence, AL look for? The top searched job categories for Remote Data jobs in Florence, AL are:
What cities near Florence, AL are hiring for Remote Data jobs? Cities near Florence, AL with the most Remote Data job openings:
Remote Data jobs near you
Infographic showing various Remote Data job openings in Florence, AL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $148,115 per year, or $71.2 per hour.

Automotive Dealership Data Analyst - Full-Time, On-Site

LL Shoals

Florence, AL • On-site, Remote

Full-time

Posted 20 days ago

Job description

Key Responsibilities Data Extraction & Reporting
  • Extract and compile data from dealership systems, OEM portals, CRM platforms, and third-party sources.
  • Build and maintain recurring reports for Sales, Service, Finance, and Operations teams across all ten dealership locations.
  • Respond to ad hoc reporting requests from department leaders with timely, accurate data.
  • This is a full-time on-site role at our Florence, AL corporate office. Applications from candidates outside the Shoals area or seeking remote/hybrid work will not be considered.
Data Quality & Analysis
  • Clean, validate, and reconcile data from multiple sources to ensure accuracy.
  • Partner with department managers to identify trends, inconsistencies, and opportunities within dealership data.
  • Document reporting processes, data sources, and reporting logic for consistency and continuity.
Dashboards & Automation
  • Create dashboards and visualizations using Microsoft Excel and Power BI.
  • Automate manual reporting processes using appropriate tools and scripting where applicable.
  • Collaborate with the IT team to improve reporting efficiency and data accessibility.
Required Qualifications
  • 2+ years of experience in reporting, data analysis, or a related field.
  • Ability to work full-time on-site at our Florence, AL corporate office.
  • Current residence in or near the Shoals area with the ability to commute daily.
  • Working knowledge of SQL, HTML, and Python.
  • Experience using AI tools such as Claude, ChatGPT, Microsoft Copilot, or Gemini to improve productivity and reporting workflows.
  • Advanced Microsoft Excel skills, including pivot tables, lookups, formulas, and data manipulation.
  • Experience working with multiple data sources and web-based business systems.
  • Strong organizational skills with the ability to manage multiple priorities and deadlines.
  • Excellent analytical, communication, and problem-solving skills.
Preferred Qualifications
  • Experience in automotive dealership operations.
  • Familiarity with dealership systems such as CDK, Reynolds & Reynolds, Dealertrack, VinSolutions, Elead, Tekion, or vAuto.
  • Experience with Power Query, APIs, scripting, or other data automation tools.
  • Understanding of dealership KPIs, including sales, inventory, fixed operations, and service performance metrics.
  • Microsoft Power BI Data Analyst Associate (PL-300)
  • Microsoft Excel Expert (MO-201)
  • SQL Certification
  • Google Data Analytics Professional Certificate