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Remote Data Mining Jobs in Atlanta, GA (NOW HIRING)

SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data architecture, data management, statistics, business ...

... mining data to uncover drivers and patterns that inform how the business supports its customers ... Current remote and field-based Unum employees may apply and will be considered in accordance with ...

Data Scientist

Atlanta, GA · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0247378 Location: Atlanta,GA,US Share job via: Share Data ... Experience with natural language processing, text mining, or machine learning techniques * Ability ...

... and remote resources to get the job done - consistently Here is the Job details: Title: Data ... Design data mining solutions to be implemented and executed with alignment to the planned scope and ...

... mining techniques, etc. * Experience with most or all of the following basic data science tools ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

This is a remote position based in GA. SUMMARY: The Pricing Analyst is responsible for supporting ... Strong analytical skills; modeling skills include data mining, and excel formulas and manipulating ...

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

New

Master Data Analyst - Remote

Atlanta, GA · On-site +1

$85K - $95K/yr

Master Data Analyst - Remote Infrastructure Products Group Atlanta, Georgia, United States Job ID: 528081 CRH Americas Building Products is reinventing what's possible in building solutions. We are ...

New

As a CBRE Occupancy Sr. Planner, you will provide space planning, data mining, reporting, and interpretation of space planning metrics for large and high-profile clients' needs. What You'll Do:

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Showing results 1-20

Remote Data Mining information

See Atlanta, GA salary details

$44.2K

$158.7K

$234.2K

How much do remote data mining jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote data mining in Atlanta, GA is $158,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,400.00 and $163,500.00 per year, depending on experience, location, and employer.

What is remote data mining?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

What skills and qualifications are needed for remote data mining?

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

How do you become a remote data mining?

To become a remote data miner, you typically need a strong foundation in data analysis, statistics, and programming languages such as Python or R. Gaining experience with data mining tools, databases, and machine learning techniques, along with relevant certifications or degrees, can improve your chances of securing a remote position in this field.

What are the most commonly searched types of Data Mining jobs in Atlanta, GA?

The most popular types of Data Mining jobs in Atlanta, GA are:

What job categories do people searching Remote Data Mining jobs in Atlanta, GA look for?

The top searched job categories for Remote Data Mining jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Remote Data Mining jobs?

Cities near Atlanta, GA with the most Remote Data Mining job openings:

Infographic showing various Remote Data Mining job openings in Atlanta, GA as of August 2026, with employment types broken down into 5% Internship, 88% Full Time, and 7% Part Time. Highlights an 100% Remote job distribution, with an average salary of $158,691 per year, or $76.3 per hour.

Data Analyst

Alpharetta, GA • On-site, Remote

KGS Technology Group Inc
IT Services • 51 - 200 employees

Full-time

Re-posted 6 days ago


Job description

Company Description
Job Description
Full-Time
We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.
Responsibilities
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities Requirements And Skills
• Proven working experience as a Data Analyst or Business Data Analyst
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL, etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• BS in Mathematics, Economics, Computer Science, Information
Management or Statistics Skills: SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data architecture, data management, statistics, business intelligence, data quality
Qualifications
Additional Information
Full-time