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From Home Data Analytics Jobs in Alabama (NOW HIRING)

Collect, clean, analyze, and interpret data from multiple sources. * Use Python, R, SQL , and visualization tools to identify trends, patterns, and insights. * Build reports, dashboards, charts, and ...

Data Analytics Analyst 1

Birmingham, AL · On-site

$32 - $36.55/hr

Gather equipment-related information from engineering documents, project teams, plant personnel ... Data Analytics & Technical Analysis * Perform daily analysis of technical and operational data.

New

The role involves using tools like Python, R, and SQL for data analysis, as well as performing data integration and statistical analysis to derive insights from data. Responsibilities : • ...

Mindlance is seeking a high-energy Data Analytics Analyst who thrives on problem-solving and ... from data, as well as the ability to apply machine learning techniques for predictive modeling. • ...

Data Analytics Engineer

Huntsville, AL · On-site

$80K - $128K/yr

Perform rigorous statistical data analysis on complex datasets derived from lab, flight, and field testing of ASE systems (e.g., missile warning systems, laser detection systems, and infrared ...

New

Perform rigorous statistical data analysis on complex datasets derived from lab, flight, and field testing of ASE systems (e.g., missile warning systems, laser detection systems, and infrared ...

New

Master's of Business Administration or Master of Science degree with 18 credit hours in Data Analytics or a related field from an AACSB accredited institution Preferred Qualifications * Ph.D. and/or ...

Data, Analytics & AI Engineer

Birmingham, AL

$107K - $128K/yr

Data, Analytics & AI Engineer Help Build the Future of Data, Analytics & AI Are you passionate ... Integrate data from ERP, EHS, operational, and enterprise systems. Develop and manage curated data ...

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Showing results 1-20

From Home Data Analytics information

Is data analytics a good career for remote work?

Data analytics is well-suited for remote work because many tasks involve analyzing digital data, using tools like Excel, SQL, and visualization software. The role often offers flexible schedules and requires strong communication skills for collaboration, making it a viable option for remote employment.

What are the key skills and qualifications needed to thrive as a work from home data analyst?

To thrive as a Work-From-Home Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or data science. Experience with technical tools like SQL, Excel, Python, R, and data visualization platforms (e.g., Tableau or Power BI) is typically required. Excellent communication, self-motivation, and time management skills help remote analysts collaborate effectively and deliver insights independently. These competencies ensure accurate data interpretation, effective remote teamwork, and impactful business decision-making.

What is a work from home data analyst?

A work from home data analyst is a professional who collects, processes, and interprets data to help organizations make informed decisions—all while working remotely. They use statistical tools and software to analyze large datasets, identify trends, and create reports or visualizations. These analysts often collaborate with teams through digital communication platforms and can work in a variety of industries, such as finance, healthcare, or marketing. The flexibility of remote work allows them to perform their tasks from any location with a reliable internet connection.

What is the difference between From Home Data Analytics vs From Home Data Analyst?

AspectFrom Home Data AnalyticsFrom Home Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Data Science, Analytics, or related field; proficiency in analytics tools
Work EnvironmentRemote, often project-based or consulting rolesRemote, typically in corporate or consulting settings
Employer & Industry UsageTech companies, consulting firms, finance, healthcareTech companies, finance, marketing, healthcare
Common Search & ComparisonYesYes

From Home Data Analytics involves analyzing data remotely across various industries, often focusing on strategic insights. From Home Data Analyst typically performs data analysis tasks remotely within specific organizations, focusing on reporting and operational insights. Both roles require similar skills and credentials but differ slightly in scope and industry application.

How do remote data analytics professionals typically collaborate with team members and stakeholders while working from home?

Remote data analytics professionals often use a combination of video meetings, instant messaging, and collaborative platforms to stay connected with their teams and stakeholders. Regular virtual stand-ups, shared dashboards, and cloud-based project management tools help ensure transparency and real-time updates on projects. Effective communication and proactive sharing of insights are important for building trust and ensuring that data-driven recommendations are clearly understood and implemented by business partners. While remote, you'll need to be comfortable with both asynchronous and synchronous collaboration to keep projects on track.

Can you work from home in data analytics?

Data analytics jobs, including roles like data analyst or data scientist, often offer remote work options, especially with the increased adoption of digital collaboration tools. Many employers allow data professionals to work from home, provided they have a reliable internet connection, proficiency with analytics software, and good communication skills. However, some positions may require on-site presence for meetings or data collection, so job specifics vary by employer.

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

The most popular types of Data Analytics jobs in Alabama are:

What cities in Alabama are hiring for From Home Data Analytics jobs?

Cities in Alabama with the most From Home Data Analytics job openings:

Data Analytics Analyst I

4pconsultinginc

Birmingham, AL • On-site

Contractor

Re-posted 18 days ago


Job description

Position: Data Analytics Analyst I

Location: Birmingham, AL
Contract : 3 Years
Client: Alabama Power
 

Position Overview

We are seeking a motivated Data Analytics Analyst I with 1–3 years of experience to support data analysis, reporting, data integration, and business intelligence initiatives.

The ideal candidate will have hands-on experience using tools such as Python, R, SQL, Tableau, Matplotlib, and Seaborn to analyze data, create visual reports, and deliver meaningful business insights. This role is well-suited for someone with strong analytical skills, attention to detail, and a desire to grow in data analytics, reporting, ETL, and predictive modeling.

Key Responsibilities

  • Collect, clean, analyze, and interpret data from multiple sources.
  • Use Python, R, SQL, and visualization tools to identify trends, patterns, and insights.
  • Build reports, dashboards, charts, and visual presentations for business users.
  • Support data extraction, transformation, and loading processes.
  • Work with databases and structured datasets to prepare data for analysis.
  • Perform statistical analysis and hypothesis testing to support business decisions.
  • Assist with predictive modeling and basic machine learning techniques.
  • Validate data accuracy and ensure reporting consistency.
  • Collaborate with business, technical, and operational teams to understand data needs.
  • Document data processes, reporting logic, and analysis results.

Required Qualifications

  • 1–3 years of experience in data analytics, reporting, business intelligence, or a related role.
  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field.
  • Proficiency with SQL for querying and analyzing data.
  • Experience with Python or R for data analysis.
  • Familiarity with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
  • Basic understanding of ETL processes and database concepts.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Strong attention to detail and ability to work with large datasets.
  • Good written and verbal communication skills.

Preferred Qualifications

  • Experience with machine learning or predictive analytics.
  • Familiarity with statistical analysis and hypothesis testing.
  • Experience working with multiple data sources and databases.
  • Knowledge of data cleaning, data validation, and data quality practices.
  • Exposure to business intelligence or dashboard development.

Key Skills

  • Data analysis and reporting
  • SQL querying
  • Python or R
  • Tableau / Power BI
  • Matplotlib / Seaborn
  • ETL and data integration
  • Statistical analysis
  • Predictive modeling
  • Data visualization
  • Data validation and documentation