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Mining Data Analytics Jobs in Reston, VA (NOW HIRING)

... analytics, etc. * Demonstrates a deep understanding of the modeling lifecycle * Advanced skill data mining, data wrangling, and data transformation with both structured and unstructured data; deep ...

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical ... Identify insights through use of statistical, algorithmic, mining and visualization techniques.

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical ... Identify insights through use of statistical, algorithmic, mining and visualization techniques.

Senior Data Analyst

Arlington, VA

$98K - $124K/yr

Strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating pipelines and creating/running simulations ...

Senior Data Analyst

Arlington, VA

$98K - $124K/yr

Strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating pipelines and creating/running simulations ...

Senior Data Analyst

Arlington, VA · On-site

$98K - $124K/yr

Strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating pipelines and creating/running simulations ...

Senior Computer Scientist

Herndon, VA · On-site

$112K - $179K/yr

... analysis environments worldwide that enable speedy and precise decision making to warfighters ... Develop and utilize machine learning and data mining algorithms, including, but not limited to ...

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Mining Data Analytics information

See Reston, VA salary details

$53.1K

$72.8K

$92.6K

How much do mining data analytics jobs pay per year?

As of Jun 27, 2026, the average yearly pay for mining data analytics in Reston, VA is $72,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $88,400.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Mining Data Analytics is a field that values skills and experience over age; many professionals transition into data science later in their careers. Learning programming languages like Python or R and gaining relevant certifications can help regardless of age. Age should not be a barrier to entering data science if you develop the necessary skills and stay current with industry tools.

What is the highest paid job in mining?

The highest paid roles in mining typically include mine managers, senior engineers, and geologists, with salaries often exceeding $150,000 annually. These positions require extensive experience, technical expertise, and often involve overseeing large operations or specialized skills such as data analysis and safety management.

What is the difference between Mining Data Analytics vs Data Analyst?

AspectMining Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Mining Engineering, or related fields; certifications in data analytics or mining softwareBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentMining sites, data centers, or corporate offices; focus on mineral extraction dataOffice settings, corporate or consulting firms; focus on business data
Employer & Industry UsageMining companies, resource extraction industriesVarious industries including finance, healthcare, retail

Mining Data Analytics and Data Analysts both analyze data, but Mining Data Analytics specializes in mineral extraction data within the mining industry, often requiring industry-specific knowledge and certifications. Data Analysts have a broader scope across multiple industries, focusing on business insights. While both roles involve data interpretation, their environments and applications differ significantly.

Will data mining be replaced by AI?

Data mining in mining data analytics involves extracting useful patterns from large datasets, and AI technologies like machine learning are increasingly used to automate and enhance this process. While AI can perform many tasks traditionally done by data miners, skilled analysts are still needed to interpret results, develop models, and ensure data quality, making complete replacement unlikely in the near term.

What does a data mining analyst do?

A data mining analyst examines large datasets to identify patterns, trends, and relationships that can inform business decisions. They use statistical tools and software such as SQL, Python, or R, and often work in environments requiring strong analytical and problem-solving skills to extract actionable insights.
What are popular job titles related to Mining Data Analytics jobs in Reston, VA? For Mining Data Analytics jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Mining Data Analytics jobs in Reston, VA look for? The top searched job categories for Mining Data Analytics jobs in Reston, VA are:
What cities near Reston, VA are hiring for Mining Data Analytics jobs? Cities near Reston, VA with the most Mining Data Analytics job openings:
Manager, Data Analyst - Credit & Financial Risk Management

Manager, Data Analyst - Credit & Financial Risk Management

Capital One

Mclean, VA

Full-time

Posted 24 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

67th of 142 rated banks


Job description

Manager, Data Analyst - Credit & Financial Risk Management

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

What you'll do:

  • Drive current and future strategy by leveraging your analytical skills

  • Assist with building and using models to test and validate data

  • Work with vast amounts of data in new and evolving environments

  • Be a part of growing and developing our brand in new and emerging markets

  • Leverage analytics to create a customer experience above our peers

  • Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

  • Be a part of the full life cycle of projects and see end results

  • Collaborate across business units

  • Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

  • Experience real work life balance, with little travel involved

On any given day you will be:

  • Mining data to arrive at specific and crucial information for the organization

  • Identifying and implementing process, data, and reporting improvements for the organization

  • Working with large and complex databases containing millions to billions of records

  • Improving operational efficiencies and effectiveness

  • Conducting analysis to evaluate processes and tests

  • Extracting and analyzing data to gauge product offerings

  • Consulting on the design and implementation of new production and data storage systems

  • Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications

  • Currently has, or is in the process of obtaining a:

    • Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or

    • Master's Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

  • At least 4 years of experience performing professional data analysis work

  • At least 4 years of experience performing programming

Preferred Qualifications:

  • Master's Degree in a Science, Technology, Engineering, Mathematics discipline

  • At least 7 years of professional data analysis work experience

  • At least 4 years of experience with Python, R, Spark or SQL

  • At least 1 year of experience in people management

  • At least 1 years of project management experience

  • At least 1 year of experience in Tableau

  • Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $164,800 - $188,100 for Data Analysis Manager


Richmond, VA: $149,800 - $171,000 for Data Analysis Manager










Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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