Principal Data Analyst, Global Payment Network

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Richmond, VAAnytown, ILMcLean, VANew York, NYRiverwoods, IL
Employment
Full-time
Posted
59 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $188k
$144k most similar roles pay here $234k

This listing doesn't post a salary. Most similar roles pay $152,346–$223,750.

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 1743 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 947 roles with salary data.

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At a glance

TL;DR · Principal Data Analyst, Global Payment Network

As a Principal Data Analyst - Global Payment Network within the Platform Operations Tower, you will serve as an architect responsible for transforming high-volume transactional data streams into core analytical assets for various domains. You will develop data strategy, architecture, and modeling frameworks for network platforms, value-added services, and servicing portals while collaborating with product and business analysis teams. Your daily responsibilities include mining complex data sources using open source technologies, building self-service tools, designing dashboards for visualization, and managing data quality through metadata and lineage tracking. The role requires proficiency in Python, R, Spark, and SQL to manage both structured and unstructured data. You will also utilize AWS services to support infrastructure. This position addresses the technical challenge of converting massive payment network data into actionable insights for financial service products.

What does a Data Analyst earn?

Median $127875 from 54 postings across 18 companies.

See salary data

What you'll do

  • Transform high-volume transactional data streams into core analytical assets and insights for various business domains.
  • Develop data strategy, architecture, and modeling frameworks for network platforms and servicing portals.
  • Use open source and digital technologies to mine complex, diverse data sources.
  • Build managed data solutions and tools to enable self-service frameworks for internal data consumers.
  • Translate business needs into technical designs for metrics, dashboards, and data visualizations.
  • Drive analysis that provides actionable insights regarding core business strategies.
  • Manage data quality standards including metadata, lineage, and business definitions.
  • Develop tools to monitor and report on data quality while managing security and access governance.

What we're looking for

  • Bachelor's degree in a quantitative field with 5 years of experience, or a Master's degree in a quantitative field with 3 years of experience.
  • 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 querying, analyzing, and working with data languages and platforms.
  • Experience with Python, R, Spark, or SQL (preferred).
  • At least 4 years of experience coding in Python, R, Spark, or SQL (preferred).
  • At least 2 years of experience utilizing and developing within AWS services (preferred).
  • Experience with process management and improvement methodologies like Agile, Lean, or Six Sigma (preferred).

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