Senior Data Analyst, Financial Services

Capital One Financial

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Quick summary

Work type: On-site
Location: Plano, TX
Employment: Full-time
Posted: 8 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $157k

$106k $201k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $129,018–$185,050.

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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Senior Data Analyst, Financial Services

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The Senior Data Analyst- Financial Services joins the team to innovate, build, and maintain well-managed data solutions to solve complex business problems. The role involves mining voluminous data sources to create self-service frameworks, partnering with business units to design dashboards and metrics for data visualization, and driving analysis for business strategies. Key responsibilities include managing data quality, metadata, and lineage while collaborating with tech teams on security and access governance. Candidates must possess a degree in a quantitative field and experience with scripting languages including Python, R, Spark, and SQL. The position requires proficiency in querying data warehouses, handling unstructured data, and utilizing AWS services. The work focuses on data-driven decision-making within the financial services sector, specifically addressing data quality management and business intelligence.

What does a Data Analyst earn?

Median $126775 from 72 postings across 23 companies.

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Skills

Python R Spark SQL AWS Business Intelligence Data Visualization Data Governance Data Quality Management Agile Lean Six Sigma Informatica DQ Metadata data, lineage

What you'll do

Mine complex and voluminous data sources using open source and digital technologies.
Build and maintain well-managed data solutions and tools to enable self-service frameworks.
Translate business needs into technical designs for metrics, dashboards, and data visualizations.
Drive analysis to provide meaningful insights regarding 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 or be in the process of obtaining one.
Must have a Master’s degree in a STEM discipline or be in the process of obtaining one (preferred).
Must have at least 2 years of experience performing data analytics.
Must have at least 1 year of experience working with at least one scripting language.
Must have at least 1 year of experience utilizing a business intelligence visualization tool.
Must have at least 1 year of experience querying, analyzing, and working with data languages and platforms.
Must have at least 2 years of experience coding in Python, R, Spark, or SQL (preferred).
Must have at least 2 years of experience working within process management and improvement methodologies (preferred).

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