Senior Data Analyst

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Employment: Full-time
Posted: 73 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $176k

$132k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $140,412–$211,200.

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 1554 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 796 roles with salary data.

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At a glance

TL;DR · Senior Data Analyst

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Sr. Data Analyst - Retail Bank joins the Consumer Bank team to develop data solutions that address complex business problems within retail banking operations, including digital banking and payment systems. The role involves three primary pillars: innovation, where the analyst mines diverse data sources using open source technologies; business intelligence, which requires partnering with stakeholders to design dashboards and metrics for strategic insights; and data management, focusing on quality, metadata, and governance. To succeed, the candidate must possess a quantitative degree and proficiency in Python, R, Spark, and SQL. The role specifically utilizes Snowflake services and potentially AWS infrastructure. The analyst will manage data lineage and security while building self-service frameworks to help the organization navigate the complexities of managing customer money through advanced analytics and robust data management practices.

What does a Data Analyst earn?

Median $129550 from 39 postings across 18 companies.

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Skills

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

What you'll do

Mine complex and diverse data sources using open source and digital technologies.
Build well-managed data solutions and tools to enable self-service frameworks for consumers.
Translate business needs into technical designs, metrics, and dashboards for data visualization.
Conduct analyses that provide actionable insights regarding business strategies.
Enforce data quality management principles including metadata, lineage, and business definitions.
Manage security mechanisms and data access governance in coordination with technical teams.
Build and execute tools to monitor and report on data quality metrics.

What we're looking for

Must have a Bachelor's degree in a quantitative field or be in the process of obtaining one with at least 2 years of data analytics experience.
Must have a Master's degree if currently pursuing it as an alternative to the required Bachelor's degree for this role.
At least 1 year of experience working with at least one scripting language.
At least 1 year of experience utilizing business intelligence visualization tools.
At least 1 year of experience querying, analyzing, and working with data languages and platforms.
Experience with Python, R, Spark, or SQL (preferred).
Experience with process management and improvement methodologies like Agile, Lean, or Six Sigma (preferred).
Experience with AWS services, Snowflake, or data quality tools like Informatica DQ (preferred).

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