Principal Data Analyst

Capital One Financial

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: McLean, VANew York, NYRichmond, VA
Salary: $131,300–$149,800 / yr
Employment: Full-time
Posted: 4 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $165k

This role $141k

$121k $209k

below market most similar roles pay here above market

This role pays less than 66% of similar roles. Most pay $129,342–$200,125 — the blue band above. At the midpoint, this role pays about $141k versus about $165k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2232 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1142 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Principal Data Analyst

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The Principal Data Analyst joins the Bank Tech Analytics team to advance data-driven decision-making and operational excellence across the enterprise. This role involves building well-managed data solutions, tools, and self-service frameworks to transform complex information into actionable insights and custom reporting. Daily responsibilities include mining voluminous data sources, designing dashboards for data visualization, and driving analysis for business strategies. The position requires managing data quality principles such as metadata, lineage, and business definitions while collaborating with tech teams on security and access governance. Candidates must utilize Python, R, Spark, and SQL to work with data warehouses and unstructured data. The role specifically leverages Snowflake, Onelake, Databricks, and AWS services to solve technical problems related to metrics frameworks, operational efficiency automation, and AI integration within the bank technology domain.

What does a Data Analyst earn in Virginia?

Median $126800 from 31 postings across 4 companies.

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Skills

Python SQL Spark R AWS Snowflake Databricks Data Governance Data Quality Management Agile Lean Six Sigma Data Visualization Metadata Lineage

What you'll do

Mine complex and voluminous data sources using open source and digital technologies.
Build well-managed data solutions and tools to enable self-service frameworks for data consumers.
Translate business needs into designed tools, metrics, and dashboards for data visualization.
Drive analysis that provides meaningful insights on business strategies.
Manage data quality principles including metadata, lineage, and business definitions.
Coordinate with tech teams to manage security mechanisms and data access governance.
Build and execute tools to monitor and report on data quality.

What we're looking for

Must have a Bachelor’s degree in a quantitative field plus 5 years of data analytics experience, or a Master’s degree plus 3 years.
Must have at least 3 years of experience working with at least one scripting language.
Must have at least 3 years of experience utilizing a business intelligence visualization tool.
Must have at least 3 years of experience querying, analyzing, and working with data languages and platforms.
Must have experience utilizing and developing within AWS services.
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline (preferred).
At least 4 years of experience coding in Python, R, Spark, or SQL (preferred).
At least 4 years of experience working within process management and improvement methodologies such as Agile, Lean, or Six Sigma (preferred).

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