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Remote Data Mining Jobs in Wheaton, IL (NOW HIRING)

Student Intern

Downers Grove, IL · On-site +1

$20 - $25/hr

Conduct data mining and analysis on parts pricing and categorization data across multiple operating ... Location: Downers Grove, IL (Hybrid) or Remote * Department: Lifecycle Services (Aftermarket)

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Responsibilities include data mining, web scraping, cleaning and organizing the data into both SQL and NoSQL databases. Further responsibilities will include building efficient APIs to communicate ...

Apply advanced data mining and analytics techniques to detect emerging fraud patterns and surface ... Remote work is not available in the following States: California, Colorado, Connecticut, Utah and ...

The Data Scientist will report to the Director, Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the ...

The Data Scientist will report to the Director, Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the ...

Data Engineer (Remote)

Chicago, IL · Remote

$117K - $140K/yr

You will design and manage data infrastructure that processes large, complex datasets, including ... Remote or hybrid Chicago work flexibility * Collaborative and dynamic team environment * The chance ...

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

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Remote Data Mining information

See Wheaton, IL salary details

$44.5K

$159.5K

$235.3K

How much do remote data mining jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote data mining in Wheaton, IL is $159,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $164,300.00 per year, depending on experience, location, and employer.

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 popular job titles related to Remote Data Mining jobs in Wheaton, IL? For Remote Data Mining jobs in Wheaton, IL, the most frequently searched job titles are:
What job categories do people searching Remote Data Mining jobs in Wheaton, IL look for? The top searched job categories for Remote Data Mining jobs in Wheaton, IL are:
What cities near Wheaton, IL are hiring for Remote Data Mining jobs? Cities near Wheaton, IL with the most Remote Data Mining job openings:
Student Intern

Student Intern

Duravant

Downers Grove, IL • On-site, Remote

$20 - $25/hr

Other

Posted 24 days ago


Job description

About Duravant:

Duravant is a global engineered equipment company with an over 100-year operating history.  Through our portfolio of operating companies, we deliver trusted end-to-end process solutions for customers and partners through engineering and integration expertise, project management and operational excellence.  With worldwide sales distribution and service networks we provide immediate and lifetime aftermarket support to all the markets we serve in the food processing, packaging and material handling sectors.  Duravant’s market-leading brands are synonymous with innovation, durability and reliability. 

About the Internship:

We are seeking two motivated interns to support our Parts Pricing team through advanced data mining and analysis. This internship offers a hands-on opportunity to work across multiple operating companies, helping build a standardized, repeatable process for parts categorization and pricing analysis. Interns will collaborate closely with cross-functional teams and leverage data analytics tools, including emerging AI capabilities, to drive insights and improve pricing strategies.

Key Responsibilities

  • Conduct data mining and analysis on parts pricing and categorization data across multiple operating companies
  • Collaborate with team members to develop a repeatable and scalable process for pricing analysis
  • Support the identification of trends, inconsistencies, and opportunities within parts pricing structures
  • Utilize AI tools and analytical techniques to enhance data insights and improve efficiency
  • Assist in building reports, dashboards, and presentations to communicate findings
  • Partner with cross-functional stakeholders to ensure alignment and data accuracy
  • Contribute to documentation of processes and best practices

Qualifications

  • Currently pursuing a degree in Statistics, Data Science, Analytics, Economics, or a related field
  • Junior and Senior level students preferred 
  • Strong interest in data mining, analytics, and AI applications
  • Experience with tools such as Excel, SQL, Python, R, or similar analytics platforms is preferred
  • Analytical mindset with strong problem-solving skills and attention to detail
  • Ability to work both independently and collaboratively across teams
  • Strong communication skills and the ability to translate data into actionable insights

What You’ll Gain

  • Hands-on experience in real-world pricing analytics and data strategy
  • Exposure to AI-driven analysis and business applications
  • Opportunity to work across multiple operating companies and build cross-functional collaboration skills
  • Development of technical, analytical, and business acumen
  • Mentorship and networking opportunities with experienced professionals
  • A chance to contribute to a high-impact, scalable business process

Additional Information:

  • This internship is designed to extend beyond the summer, with a preference for candidates who are available to continue working part-time during the academic school year
  • Flexible scheduling may be available to accommodate class commitments
  • Location: Downers Grove, IL (Hybrid) or Remote
  • Department: Lifecycle Services (Aftermarket)

*Sponsorship is not available for this position.