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Principal Data Analyst Jobs (NOW HIRING)

Principal Data Analyst - Card 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 ...

The Principal Data Analyst is a senior, hands-on analytics leader who turns complex, cross-functional data into clear, actionable insights that drive business outcomes as a consultative partner. This ...

The Principal Data Analyst is a senior, hands-on analytics leader who turns complex, crossfunctional data into clear, actionable insights that drive business outcomes as a consultative partner. This ...

The Principal Data Analyst is a senior, hands-on analytics leader who turns complex, cross‑functional data into clear, actionable insights that drive business outcomes as a consultative partner.

As a Principal Data Analyst - AI Enabled Analytics, you willoperateas a senior individual contributor and technical thought leader, helping shape how AI is applied across analytics workflows-from ...

Position Specific Description The Principal Data Analyst is responsible for ensuring data quality, integrity, and compliance throughout NextEra Energy's ETRM transformation project and ongoing ...

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Principal Data Analyst information

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$34K

$82.6K

$136K

How much do principal data analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for principal data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are Principal Data Analysts?

Principal Data Analysts are senior-level professionals who lead complex data analysis projects within an organization. They are responsible for interpreting large datasets, designing analytical models, and providing strategic insights to guide business decisions. In addition to technical expertise, they often mentor junior analysts, collaborate with stakeholders, and help set data strategy. Principal Data Analysts typically have extensive experience and a deep understanding of both data science and the industry in which they work.

What is the difference between Principal Data Analyst vs Data Scientist?

AspectPrincipal Data AnalystData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; strong analytical skillsBachelor's or Master's in Data Science, Computer Science, or related; programming skills often emphasized
Work EnvironmentBusiness-focused, analyzing data to inform decisions, often within corporate teamsResearch and development environment, building models, exploring data, often in tech or research firms
Employer & Industry UsageCommon in finance, healthcare, retail, and corporate sectorsPrevalent in tech, e-commerce, and research organizations

The main difference between a Principal Data Analyst and a Data Scientist lies in their focus and skill set. Principal Data Analysts typically concentrate on interpreting data to support business decisions, while Data Scientists often develop predictive models and algorithms. Both roles require strong analytical skills and relevant education, but Data Scientists usually have more programming expertise and a focus on machine learning. Understanding these distinctions helps organizations hire the right talent for their data needs.

What are the key skills and qualifications needed to thrive as a Principal Data Analyst, and why are they important?

To thrive as a Principal Data Analyst, you need advanced expertise in data analysis, statistical modeling, and data visualization, often backed by a degree in a quantitative field and several years of experience. Mastery of tools such as SQL, Python or R, business intelligence platforms, and data warehousing systems is typically required, along with relevant certifications like Certified Analytics Professional (CAP). Exceptional problem-solving, leadership, and communication skills set top analysts apart, enabling them to translate complex data into actionable business insights. These competencies are essential for driving data-driven decision-making and leading analytical projects that align with organizational goals.

How does a Principal Data Analyst typically contribute to cross-functional projects within an organization?

A Principal Data Analyst often plays a key role in cross-functional projects by acting as the primary liaison between data teams and business stakeholders. They lead the design and execution of complex analyses, ensuring that project requirements are clearly understood and data-driven insights align with organizational goals. This role involves collaborating closely with product managers, engineers, and executives to translate business questions into actionable analytical solutions, while also mentoring junior analysts and establishing best practices. Their strategic input is critical to shaping data-driven decision-making across departments.
More about Principal Data Analyst jobs
What cities are hiring for Principal Data Analyst jobs? Cities with the most Principal Data Analyst job openings:
What states have the most Principal Data Analyst jobs? States with the most job openings for Principal Data Analyst jobs include:
Principal Associate, Data Analyst - Risk

Principal Associate, Data Analyst - Risk

Capital One

Richmond, VA

Full-time

Posted 9 hours ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

72nd of 141 rated banks


Job description

Principal Associate, Data Analyst - Risk

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.

As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.

On any given day you will be challenged on three types of work - Innovation, Business Intelligence and Data Management:

Innovation

  • Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

  • Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers

  • Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

Business Intelligence

  • Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

  • Drive analysis that provides meaningful insights on business strategies

Data Management

  • Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

  • Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance

  • Build and execute tools to monitor and report on data quality

Our ideal candidate will have:

  • Degree specialized in a Science, Technology, Engineering, Mathematics discipline

  • Scripting experience in (Python, R, Spark, and SQL)

  • Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

  • Experience utilizing and developing within AWS services

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 5 years of experience performing data analytics, or, a Master's Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

  • At least 3 years of experience working with at least one scripting language

  • At least 3 years of experience utilizing a business intelligence visualization tool

  • At least 3 years of experience in querying, analyzing and working with data languages and platforms

Preferred Qualifications:

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

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

  • At least 4 years of experience working within process management and improvement methodologies - Agile, Lean, Six Sigma, etc.

  • At least 2 years of experience utilizing and developing within AWS services

  • At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry

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.

Plano, TX: $119,400 - $136,200 for Principal Data Analyst


McLean, VA: $131,300 - $149,800 for Principal Data Analyst


Richmond, VA: $119,400 - $136,200 for Principal Data Analyst


Chicago, IL: $119,400 - $136,200 for Principal Data Analyst








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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