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Remote Data Mining Jobs in Houston, TX (NOW HIRING)

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Knowledge of machine learning algorithms and data mining techniques. * Familiarity with project ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem ...

Metro National Corporation

Data Engineer

Houston, TX · On-site +1

$109K - $131K/yr

Remote candidates will not be considered. We do not Sponsor Visa's SUMMARY: MetroNational is modernizing its data and analytics capabilities to foster a data-driven culture. We are seeking a skilled ...

Aggreko

Sourcer

Houston, TX · Remote

From world-class events that last a few weeks to mining operations and remote communities who rely ... Ability to provide insight for data and reporting * Strong organizational skills to balance a ...

New

MSCCN

Sourcer - Home Based - Houston, TX

Houston, TX · On-site +1

From world-class events that last a few weeks to mining operations and remote communities who rely ... or data-driven environment Experience in advanced talent search techniques (e.g., Boolean ...

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All JobsData Mining JobsRemote Data Mining JobsRemote Data Mining Jobs in Houston, TX

Remote Data Mining information

See Houston, TX salary details

$43.9K

$157.6K

$232.5K

How much do remote data mining jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote data mining in Houston, TX is $157,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,500.00 and $162,300.00 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.

How do I 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 a degree in a related field, can improve your prospects for remote work in this role.

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.

What are the most commonly searched types of Data Mining jobs in Houston, TX? The most popular types of Data Mining jobs in Houston, TX are:
What are popular job titles related to Remote Data Mining jobs in Houston, TX? For Remote Data Mining jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Mining jobs in Houston, TX look for? The top searched job categories for Remote Data Mining jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Data Mining jobs? Cities near Houston, TX with the most Remote Data Mining job openings:
Remote Data Mining jobs near you
Infographic showing various Remote Data Mining job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $157,588 per year, or $75.8 per hour.

Data Analyst

Insolation Technology Ltd

Houston, TX • On-site, Remote

$21 - $26/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

We are seeking a motivated and detail-oriented Data Analyst to join our team at Insolation Technology LTD,
an established engineering consulting firm. The Data Analyst will be
responsible for collecting, processing, and analyzing data to support
project decisions, improve operational efficiency, and provide insights
that drive strategic planning. The ideal candidate will have a strong
analytical background, proficiency in data analysis tools, and excellent
communication skills.

Note: This position is strictly open to candidates within the United States.

Key Responsibilities:

  • Data Collection and Management: Gather, clean, and maintain datasets from various sources, ensuring data integrity and accuracy.
  • Data Analysis:
    Analyze large datasets to identify trends, patterns, and insights that
    support project management, operational efficiency, and strategic
    initiatives.
  • Reporting and Visualization:
    Create comprehensive reports and dashboards using data visualization
    tools (e.g., Tableau, Power BI) to present findings to stakeholders.
  • Collaboration:
    Work closely with engineering teams, project managers, and other
    departments to understand their data needs and provide actionable
    insights.
  • Performance Metrics: Develop and track key performance indicators (KPIs) to measure project performance and operational efficiency.
  • Statistical Modeling: Apply statistical methods and predictive modeling techniques to analyze data and forecast future trends.
  • Continuous Improvement:
    Identify opportunities for process improvements and optimization based
    on data analysis and provide recommendations to management.
  • Documentation: Maintain detailed documentation of data sources, methodologies, and analytical processes for future reference.

Qualifications:

  • Bachelors degree in Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Proven experience as a Data Analyst, preferably in an engineering consulting or similar environment.
  • Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages.
  • Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
  • Strong analytical and problem-solving skills, with a keen attention to detail.
  • Excellent
    communication skills, both verbal and written, with the ability to
    present complex information clearly to non-technical stakeholders.
  • Familiarity with engineering concepts or terminology is a plus.

Preferred Qualifications:

  • Experience with statistical analysis and modeling techniques.
  • Knowledge of machine learning algorithms and data mining techniques.
  • Familiarity with project management methodologies and tools.
  • Experience working in a team-oriented, collaborative environment.

Benefits:

  • Competitive salary and performance-based bonuses
  • Comprehensive health, dental, and vision insurance
  • Retirement savings plan with company match
  • Professional development opportunities
  • Flexible work schedule and remote work options

Job Type:

  • Full time

Pay:

  • $21.00 - $26.00 per hour

Expected hours:

  • 40 hours per week

Benefits:

  • 401(k)
  • Dental insurance
  • Health Insurance
  • Life Insurance
  • Paid time off

Schedule:

  • Monday to Friday

Work location:

  • Remote

Insolation Technology LTD is an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive
environment for all employees.

Apply