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Principal Data Analyst Jobs (NOW HIRING)

Capital One

Principal Data Analyst

Mclean, VA

Principal Data Analyst 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 ...

Capital One

Principal Data Analyst

Richmond, VA

Principal Data Analyst 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 ...

Capital One

Principal Data Analyst

Chicago, IL

Principal Data Analyst 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 ...

Capital One

Principal Data Analyst

Mclean, VA · On-site

Principal Data Analyst 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 ...

Citizens

Principal Data Analyst

Johnston, RI · On-site

Description Principal Data Analyst, Business Banking Analytics Johnston, Rhode Island Citizens Financial Group, Inc. (CFG) seeks a Principal Data Analyst, Business Banking Analytics for its Johnston ...

Citizens

Principal Data Analyst

Johnston, RI · On-site

Principal Data Analyst, Business Banking Analytics Johnston, Rhode Island Citizens Financial Group, Inc. (CFG) seeks a Principal Data Analyst, Business Banking Analytics for its Johnston, Rhode ...

Capital One

Principal Data Analyst

Plano, TX · On-site

Principal Data Analyst 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 ...

Genworth Financial

Principal Data Analyst

Richmond, VA · On-site

POSITION TITLE Principal Data Analyst POSITION LOCATION This position is available to Virginia residents as Richmond, VA hybrid/in-office applicants. YOUR ROLE The Principal Data Analyst will serve ...

Genworth

Principal Data Analyst

Richmond, VA

POSITION TITLE Principal Data Analyst POSITION LOCATION This position is available to Virginia residents as Richmond, VA hybrid/in-office applicants. YOUR ROLE The Principal Data Analyst will serve ...

Capital One

Principal Data Analyst - Card

Mclean, VA

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 ...

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Principal Data Analyst information

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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.
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Principal Data Analyst jobs near you
Principal Data Analyst

Principal Data Analyst

Continuus Technologies LLC

Germantown, WI • On-site

Full-time

Posted 29 days ago

Job description

Role Overview

The Principal Data Analyst is a strategic analytics leader and subject-matter expert who shapes how data is used across the organization. This role leads the most complex, high-impact analyses, defines analytical standards, and partners with executive leadership to influence long-term business strategy. The Principal Data Analyst operates with broad autonomy and serves as a mentor and thought leader across the analytics community.

Key Responsibilities

  • Lead enterprise-level, high-impact analyses that inform strategic decisions

  • Define and govern company-wide KPIs, metrics, and analytical frameworks

  • Translate ambiguous, complex business problems into structured analytical approaches

  • Influence executive decision-making through clear, compelling data storytelling

  • Partner with senior leadership to shape analytics strategy and priorities

  • Set standards for analytical rigor, experimentation, and data interpretation

  • Mentor Staff and Senior Analysts and elevate analytical excellence across teams

  • Drive improvements in data quality, metric consistency, and governance

  • Identify emerging trends, risks, and opportunities proactively

Qualifications

  • Bachelor's degree in Data Analytics, Statistics, Economics, Business, or related field (or equivalent experience)

  • 10+ years of experience in analytics or data-focused roles

  • Expert-level SQL and advanced analytical modeling skills

  • Extensive experience with BI and visualization platforms (Tableau, Power BI, Looker, etc.)

  • Strong statistical reasoning and business acumen

  • Proven ability to influence executive stakeholders through insights

Preferred Experience

  • Advanced proficiency in Python or R for analysis

  • Experience designing experimentation or causal analysis frameworks

  • Familiarity with data engineering and modern data architectures

  • Domain expertise (e.g., product, finance, HR, operations, growth analytics)

  • Experience shaping analytics strategy without direct people management