2

Remote Data Mining Jobs in Georgia (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 ...

Remote-Data Engineer- Only W2

Atlanta, GA · Remote

$110K - $132K/yr

Data Engineer Location: Remote Role Focus: Pipeline Development + Support Key Skills / Responsibilities: Build and maintain ETL pipelines Support batch + CDC ingestion (including mainframe) Data ...

... 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 ...

Utilizing sophisticated data mining and scoring strategies, the company has successfully enhanced ... Remote/Hybrid Work Environment (***Candidates can be located anywhere in the US) * Competitive Paid ...

Remote Language: English Travel: 60-75% Buckman is a privately held, global specialty chemical ... data mining for issues as requested * Sales Executives should bring savings projects to the ...

Remote Language: English Travel: 60-75% Buckman is a privately held, global specialty chemical ... data mining for issues as requested * Sales Executives should bring savings projects to the ...

Apply Early

... data centers. Power without pause. Heating, cooling and oil-free air without end. We keep our ... From world-class events that last a few weeks to mining operations and remote communities who rely ...

next page

Showing results 1-20

Remote Data Mining information

What careers use data mining?

Data mining is used in various careers such as data analyst, data scientist, business intelligence analyst, and market researcher. These roles involve analyzing large datasets to extract insights, often using tools like SQL, Python, or R, and require strong analytical skills and knowledge of data management.

What is a Remote Data Mining job?

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.

Is 40 too late for data science?

Age is not a barrier to becoming a remote data mining or data science professional. Many individuals successfully transition into data roles later in life by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Employers value experience and skills over age, making it possible to start or switch careers at 40 or older.

What are the key skills and qualifications needed to thrive in the Remote Data Mining position, and why are they important?

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 some 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.

Can I get a remote data entry job?

Remote data mining jobs are available and often involve collecting, processing, and analyzing large datasets from home. These roles typically require skills in data management tools, attention to detail, and sometimes basic knowledge of databases or programming. Many companies offer flexible schedules for such positions, which can be suitable for remote work seekers.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools. It offers opportunities in various industries such as technology, finance, and healthcare, with demand for professionals who can interpret data and support decision-making. The role typically involves continuous learning and proficiency with software like SQL, Python, or R.
What are the most commonly searched types of Data Mining jobs in Georgia? The most popular types of Data Mining jobs in Georgia are:
What job categories do people searching Remote Data Mining jobs in Georgia look for? The top searched job categories for Remote Data Mining jobs in Georgia are:
What cities in Georgia are hiring for Remote Data Mining jobs? Cities in Georgia with the most Remote Data Mining job openings:
Infographic showing various Remote Data Mining job openings in Georgia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Data Analyst

Data Analyst

KGS Technology Group Inc

Alpharetta, GA • On-site, Remote

Full-time

Posted 13 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