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Remote Data Mining Jobs (NOW HIRING)

ASCENDING

Data Reporting Analyst

Richmond, VA · Remote

Fully Remote, MUST live in Virginia Data Reporting Analyst/Developer The Data Reporting Analyst ... Conduct complex data mining exercises, interpreting results through various analytical methods.

New

ASCENDING LLC

Data Reporting Analyst

Richmond, VA · On-site +1

Fully Remote, MUST live in Virginia Data Reporting Analyst/Developer The Data Reporting Analyst ... Conduct complex data mining exercises, interpreting results through various analytical methods.

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site +1

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 ...

MhyMatch

Data Scientist

San Francisco, CA · On-site +1

Remote/Hybrid Brief Overview of the Our Client is seeking a highly skilled Data Scientist to ... Lead data mining and collection strategies to improve data reliability, efficiency, and quality.

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Experience with text analytics, data mining and social media analytics. * Statistical knowledge in ...

MhyMatch

Data Scientist

New York, NY · On-site +1

Remote Brief Overview of the We are seeking a highly skilled Data Scientist to join our client, a ... Lead data mining and collection strategies to improve data reliability, efficiency, and quality ...

Easy Recruiter

Remote Data Analyst

Chicago, IL · Remote

As a Data Analyst, you will be responsible assisting with resolution of consumer/commercial card and loan bank wide issues. You will be identifying impacted accounts based on requirements. As a Data ...

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0239248 Location: Fayetteville,NC,US Share job via: Share Data ... You'll leverage statistical methods, machine learning techniques, data mining, and predictive ...

Victory

Data Scientist (Remote)

Austin, TX · Remote

Significant experience in data mining, machine-learning and operations research * Experience with data modeling, design patterns, building highly scalable and secured solutions preferred * Prior ...

Precision Technologies Corp

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... Familiarity with statistical techniques, data mining, hypothesis testing, and exploratory data ...

Jose Merciline

Data Analyst (fulltime)

New York, NY · On-site +1

Location can be remote. As long as the candidate is available to work during EST business hours and ... Data mining and querying * Experience maintaining complex data sets and as well data migration and ...

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Remote Data Mining information

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How much do remote data mining jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote data mining in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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.
More about Remote Data Mining jobs
What cities are hiring for Remote Data Mining jobs? Cities with the most Remote Data Mining job openings:
What are the most commonly searched types of Data Mining jobs? The most popular types of Data Mining jobs are:
What states have the most Remote Data Mining jobs? States with the most job openings for Remote Data Mining jobs include:
What job categories do people searching Remote Data Mining jobs look for? The top searched job categories for Remote Data Mining jobs are:
Remote Data Mining jobs near you
Infographic showing various Remote Data Mining job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Reporting Analyst

Data Reporting Analyst

ASCENDING

Richmond, VA • Remote

Contractor

Posted 7 days ago

New

Job description

Location: Fully Remote, MUST live in Virginia 
Data Reporting Analyst/Developer

The Data Reporting Analyst/Developer is a key member of the Information Technology team, specializing in data analysis, reporting, and visualization across multiple business units. This role involves designing, developing, and maintaining reporting solutions using advanced data analytics platforms and visualization tools.

The ideal candidate will collaborate with business leaders, engineers, analysts, and subject matter experts to understand reporting needs, enhance legacy reporting, and improve deployment methodologies. They will focus on optimizing data visualizations and reporting solutions to drive business insights and improve operational efficiencies. This position serves as a bridge between business processes and business intelligence, leveraging data mining, summarization, and analysis to provide valuable insights into business performance.

Key Responsibilities
  • Partner with business stakeholders, analysts, and engineers to assess reporting needs and develop effective data solutions.
  • Gather and translate business requirements into data specifications, ensuring alignment with organizational goals.
  • Design and develop various reporting solutions, including dashboards, scorecards, and tabular data visualizations.
  • Create and maintain reports using SQL Server Reporting Services (SSRS) and deploy them via Visual Studio and Report Builder.
  • Write, optimize, and manage SQL queries to support complex reporting requirements.
  • Analyze report requests to ensure they meet business needs, identifying opportunities for optimization and efficiency.
  • Identify and eliminate redundant or unnecessary data points in reports to enhance clarity and usability.
  • Validate and reconcile data discrepancies across multiple sources to maintain data integrity.
  • Troubleshoot and resolve issues related to reports, queries, and analytics.
  • Maintain a catalog of existing reports and ensure proper documentation.
  • Conduct complex data mining exercises, interpreting results through various analytical methods.
  • Provide support by resolving user-reported data and reporting issues.
  • Offer recommendations to management for process improvements and performance metrics.
  • Participate in quality assurance (QA) testing and project implementation efforts.
Required Skills & Qualifications
  • Strong analytical mindset with the ability to conduct structured and results-driven business data analysis.
  • Expert proficiency in SQL, including hands-on experience with Microsoft SQL Server for advanced query development.
  • Extensive experience with Microsoft Reporting Services (SSRS) and Report Builder for report creation and deployment.
  • Proficiency in Microsoft Visual Studio for developing and managing reporting solutions.
  • Prior experience in data analytics and report writing within the mortgage or financial industry (preferred).
  • Strong understanding of business processes and a proven ability to build trust with stakeholders.
Core Competencies
  1. Analytical Thinking – Ability to break down complex problems and derive meaningful insights from data.
  2. Effective Communication – Strong written and verbal communication skills to interact with business and technical teams.
  3. Problem-Solving – Ability to troubleshoot issues and develop efficient, data-driven solutions.
  4. Independence & Initiative – Self-starter who can take ownership of projects and deliver high-quality results.
  5. Organizational Skills – Ability to manage multiple tasks, meet deadlines, and maintain structured documentation.

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