As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You love the process of analyzing and creating, but also share our passion to do the right thing.
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You love the process of analyzing and creating, but also share our passion to do the right thing.
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You love the process of analyzing and creating, but also share our passion to do the right thing.
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You love the process of analyzing and creating, but also share our passion to do the right thing.
Manager, Data Scientist
Mclean, VA · On-site
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Team Description People Strategy & Analytics brings data, analytics, and insights to shape critical ...
Manager, Data Scientist
Mclean, VA · On-site
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Team Description People Strategy & Analytics brings data, analytics, and insights to shape critical ...
Manager, Data Scientist
Mclean, VA · On-site
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Team Description People Strategy & Analytics brings data, analytics, and insights to shape critical ...
Manager, Data Scientist
Mclean, VA · On-site
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Team Description People Strategy & Analytics brings data, analytics, and insights to shape critical ...
Due to our expanding client roster and scopes, Burson is seeking to hire a group of entry-level Associate Analysts to join our best-in-class Business Insights, Data & Intelligence (BIDI) team ...
Due to our expanding client roster and scopes, Burson is seeking to hire a group of entry-level Associate Analysts to join our best-in-class Business Insights, Data & Intelligence (BIDI) team ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist on Capital One's People Strategy & Analytics team, you'll be on the leading ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist on Capital One's People Strategy & Analytics team, you'll be on the leading ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist on Capital One's People Strategy & Analytics team, you'll be on the leading ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... As a Data Scientist on Capital One's People Strategy & Analytics team, you'll be on the leading ...
End User Support Analyst - I
Ashburn, VA · On-site
$23/hr
... role (entry-level welcome) - Proficient in Microsoft Excel and Google Sheets for manual data review and analysis - Strong written and verbal English communication skills - Fast learner with proven ...
End User Support Analyst - I
Ashburn, VA · On-site
$23/hr
... role (entry-level welcome) - Proficient in Microsoft Excel and Google Sheets for manual data review and analysis - Strong written and verbal English communication skills - Fast learner with proven ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Remain on the leading edge of analytical technology with a passion for the newest and most ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Remain on the leading edge of analytical technology with a passion for the newest and most ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Remain on the leading edge of analytical technology with a passion for the newest and most ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Remain on the leading edge of analytical technology with a passion for the newest and most ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You love the process of analyzing and creating, but also share our passion to do the right thing.
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You love the process of analyzing and creating, but also share our passion to do the right thing.
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You love the process of analyzing and creating, but also share our passion to do the right thing.
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You love the process of analyzing and creating, but also share our passion to do the right thing.
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You love the process of analyzing and creating, but also share our passion to do the right thing.
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You love the process of analyzing and creating, but also share our passion to do the right thing.
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Write software (Python, e.g.) to collect, explore, visualize and analyze numerical and textual data ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... Write software (Python, e.g.) to collect, explore, visualize and analyze numerical and textual data ...
Principal Associate, Data Scientist - Bank Operations Data Science
Mclean, VA · On-site
$59K - $60K/yr
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You have experience with clustering, classification, sentiment analysis, time series, and deep ...
Principal Associate, Data Scientist - Bank Operations Data Science
Mclean, VA · On-site
$59K - $60K/yr
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You have experience with clustering, classification, sentiment analysis, time series, and deep ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You have experience with clustering, classification, sentiment analysis, time series, and deep ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You have experience with clustering, classification, sentiment analysis, time series, and deep ...
Principal Associate, Data Scientist
Mclean, VA · On-site
$59K - $60K/yr
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... This position will work with other quantitative analysts, data scientists, and the business ...
Principal Associate, Data Scientist
Mclean, VA · On-site
$59K - $60K/yr
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... This position will work with other quantitative analysts, data scientists, and the business ...
Principal Associate, Data Scientist
Mclean, VA · On-site
$59K - $60K/yr
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... This position will work with other quantitative analysts, data scientists, and the business ...
Principal Associate, Data Scientist
Mclean, VA · On-site
$59K - $60K/yr
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... This position will work with other quantitative analysts, data scientists, and the business ...
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...
New
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...
New
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You love the process of analyzing and creating, but also share our passion to do the right thing.
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... You love the process of analyzing and creating, but also share our passion to do the right thing.
Startup Entry Level Data Analyst information
See Reston, VA salary details
$13.75 - $18.35
10% of jobs
$21.73 is the 25th percentile. Wages below this are outliers.
$18.35 - $22.94
20% of jobs
$22.94 - $27.53
18% of jobs
The median wage is $28.14 / hr.
$27.53 - $32.12
16% of jobs
$35.49 is the 75th percentile. Wages above this are outliers.
$32.12 - $36.72
16% of jobs
$36.72 - $41.31
6% of jobs
$41.31 - $45.90
3% of jobs
$45.90 - $50.49
4% of jobs
$50.49 - $55.09
3% of jobs
$55.09 - $59.68
2% of jobs
$59.68 - $64.27
2% of jobs
$13
$34
$64
How much do startup entry level data analyst jobs pay per hour?
As of Jul 16, 2026, the average hourly pay for startup entry level data analyst in Reston, VA is $34.26, according to ZipRecruiter salary data. Most workers in this role earn between $22.02 and $38.27 per hour, depending on experience, location, and employer.
What does a startup entry level data analyst do?
A startup entry level data analyst is responsible for collecting, processing, and interpreting data to help the company make informed decisions. They often work with large datasets, conduct basic data cleaning, create visualizations, and generate reports to identify trends and insights. In a startup environment, analysts may also assist with automating processes, supporting marketing or product teams, and exploring new tools. This role is ideal for individuals looking to gain hands-on experience and make a tangible impact in a fast-paced setting.
What are the most common challenges faced by entry-level data analysts working at startups?
Entry-level data analysts at startups often encounter challenges such as rapidly shifting priorities, limited resources, and the need to wear multiple hats. You may be expected to handle a mix of data cleaning, reporting, and ad-hoc analyses while adapting quickly to evolving business goals. The fast-paced environment requires strong communication skills to collaborate effectively with cross-functional teams, including product managers and engineers. However, these challenges also provide opportunities to learn quickly and make a tangible impact early in your career.
What are the key skills and qualifications needed to thrive as a Startup Entry Level Data Analyst, and why are they important?
To thrive as a Startup Entry Level Data Analyst, you need a solid understanding of statistics, data visualization, and analytical thinking, often backed by a degree in a quantitative field. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau is typically expected. Strong problem-solving, adaptability, and effective communication help you interpret data insights and collaborate in a fast-paced environment. These skills are essential for turning raw data into actionable insights that drive growth and innovation in a startup setting.
What is the difference between Startup Entry Level Data Analyst vs Startup Data Scientist?
| Aspect | Startup Entry Level Data Analyst | Startup Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in Data, Statistics, or related field | Bachelor's or Master's in Data Science, Computer Science, or related field |
| Work Environment | Data analysis, reporting, basic modeling | Advanced modeling, machine learning, algorithm development |
| Employer & Industry Usage | Startups, tech companies, small businesses | Startups, tech firms, research-focused companies |
Startup Entry Level Data Analysts focus on data collection, cleaning, and basic analysis to support decision-making. In contrast, Startup Data Scientists handle complex modeling, machine learning, and predictive analytics. While both roles require a background in data-related fields, Data Scientists typically need more advanced skills and education. The roles often overlap in startup environments, but Data Scientists usually work on more sophisticated projects.
What are popular job titles related to Startup Entry Level Data Analyst jobs in Reston, VA? For Startup Entry Level Data Analyst jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Startup Entry Level Data Analyst jobs in Reston, VA look for? The top searched job categories for Startup Entry Level Data Analyst jobs in Reston, VA are:
What cities near Reston, VA are hiring for Startup Entry Level Data Analyst jobs? Cities near Reston, VA with the most Startup Entry Level Data Analyst job openings:
Full-time
Re-posted 8 days ago
Capital One rating
7.8
Based on 143 frontline employees who took The Breakroom Quiz
76th of 149 rated banks
Job description
Manager, Data Scientist - Bureau Data Strategy
Data is at the center of everything we do. 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.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
Credit bureau data is at the heart of underwriting decisions at US Card. The Bureau Data Strategy team produces one of the most highly-used datasets in all of Capital One from raw credit bureau data. The team is responsible for generating insights, extracting value from Bureau Data and shaping the future of how credit bureau data is used in underwriting at Capital One.
In this role, you will:
The Ideal Candidate is:
Basic Qualifications:
Preferred Qualifications:
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: $197,300 - $225,100 for Mgr, Data Science
New York, NY: $215,200 - $245,600 for Mgr, Data Science
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 the Capital 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).
Data is at the center of everything we do. 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.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
Credit bureau data is at the heart of underwriting decisions at US Card. The Bureau Data Strategy team produces one of the most highly-used datasets in all of Capital One from raw credit bureau data. The team is responsible for generating insights, extracting value from Bureau Data and shaping the future of how credit bureau data is used in underwriting at Capital One.
In this role, you will:
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
- Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers.
- A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.
- Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications:
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
- At least 1 year of experience leveraging open source programming languages for large scale data analysis
- At least 1 year of experience working with machine learning
- At least 1 year of experience utilizing relational databases
Preferred Qualifications:
- PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
- At least 4 years of experience in Python, Scala, R, or SQL for large scale data analysis
- At least 4 years of experience with machine learning
- At least 2 years of experience with managing production repositories on GitHub
- At least 1 year of experience working with Spark or PySpark
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: $197,300 - $225,100 for Mgr, Data Science
New York, NY: $215,200 - $245,600 for Mgr, Data Science
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 the Capital 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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