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Hourly Remote Data Analyst Jobs in Alabama (NOW HIRING)

$26.88 - $35.82/hr

... property data platforms and the ability to learn company systems. * Excel at analyzing complex ... 82 Hourly, Remote This hiring range is a reasonable estimate of the base pay range for this ...

$26.88 - $35.82/hr

... property data platforms and the ability to learn company systems. * Excel at analyzing complex ... 82 Hourly, Remote This hiring range is a reasonable estimate of the base pay range for this ...

$20.34 - $27.12/hr

Reviews and validates the accuracy of data contained within order requests, production reports ... Analyze vendor performance and identify performance trends taking corrective action as necessary to ...

$23.37 - $31.15/hr

As a Title Examiner, you'll use your research and analytical skills to review residential property ... 15 Hourly, Remote This hiring range is a reasonable estimate of the base pay range for this ...

$20.34 - $27.12/hr

Data entry/typing skills * Standard MS skill set * Investigative / research skills * Verbal and ... 12 Hourly, Remote This hiring range is a reasonable estimate of the base pay range for this ...

Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ... salary/hourly rate range based on your location. Factors used to determine the actual salary ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

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Hourly Remote Data Analyst information

What is an hourly remote data analyst?

Hourly Remote Data Analysts are professionals who work from a remote location to analyze data for organizations, typically on an hourly wage basis. Their responsibilities often include collecting, cleaning, and interpreting data to help businesses make informed decisions. They use statistical tools and software to identify trends, generate reports, and provide actionable insights. Working remotely allows them flexibility, while being paid hourly means their compensation is based on the time spent on tasks rather than a fixed salary.

How does working as an hourly remote data analyst impact collaboration with team members and project managers?

As an hourly remote data analyst, you’ll typically collaborate with cross-functional teams using digital communication tools like Slack, Zoom, and project management platforms. While you may have flexibility in your work hours, it’s important to align your availability with key team meetings and project deadlines. Clear communication and proactive status updates help ensure smooth collaboration and project success. You may also be expected to document your work thoroughly, making it easy for teammates in different time zones to understand your analyses and findings.

What are the key skills and qualifications needed to thrive as an hourly remote data analyst, and why are they important?

To thrive as an Hourly Remote Data Analyst, you need strong analytical skills, data interpretation abilities, and proficiency with data management, often supported by a relevant degree or equivalent experience. Familiarity with technical tools such as Excel, SQL, Python, and data visualization platforms like Tableau or Power BI is typically required. Exceptional attention to detail, time management, and clear remote communication are crucial soft skills for this role. These competencies enable effective data-driven decision-making, reliable remote collaboration, and high productivity in a flexible working environment.

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

AspectHourly Remote Data AnalystHourly Remote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQLBachelor's or higher in Data Science, Computer Science, or related; certifications in Python, R, or machine learning
Work EnvironmentRemote, project-based, often in business or marketing sectorsRemote, research-focused, often in tech, finance, or healthcare industries
Employer & Industry UsageUsed by companies needing data interpretation for decision-makingUsed by organizations developing models, algorithms, and advanced analytics

While both roles involve working with data remotely, data analysts focus on interpreting data to inform business decisions, whereas data scientists develop models and algorithms for deeper insights. The roles share similar credentials but differ in complexity and scope.

What are the most commonly searched types of Remote Data Analyst jobs in Alabama?

The most popular types of Remote Data Analyst jobs in Alabama are:

What job categories do people searching Hourly Remote Data Analyst jobs in Alabama look for?

The top searched job categories for Hourly Remote Data Analyst jobs in Alabama are:

What cities in Alabama are hiring for Hourly Remote Data Analyst jobs?

Cities in Alabama with the most Hourly Remote Data Analyst job openings:

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

Long-Lewis Automotive Group

Florence, AL • On-site, Remote

$20 - $25/hr

Full-time

Re-posted 26 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