Senior Data Analyst, Commercial

Capital One Financial

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Quick summary

Work type: On-site
Location: New York, NYMcLean, VA
Employment: Full-time
Posted: 83 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 $168k

$122k most similar roles pay here $215k

This listing doesn't post a salary. Most similar roles pay $135,000–$202,000.

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, Commercial

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Senior Data Analyst - Commercial joins a team focused on leveraging analytic and technical skills to build well-managed data solutions that address complex business problems. The role involves three primary pillars: innovation, where you will use open source and digital technologies to mine diverse data sources; business intelligence, involving the creation of tools, metrics, and dashboards for visualization; and data management, which focuses on ensuring data quality, metadata, lineage, and security governance. You will work with various data forms including warehouses and unstructured data. The required technical toolkit includes proficiency in Python, R, Spark, and SQL, along with experience in Snowflake services and business intelligence visualization tools. Preferred skills include AWS services, Informatica DQ for quality management, and methodologies like Agile or Six Sigma to improve processes within the financial sector.

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 Informatica DQ Agile Lean Six Sigma Data Governance Data Quality Management 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

Bachelor's degree in a quantitative field or currently pursuing one with an expected completion date on or before the start date.
Master's degree in a STEM discipline (preferred).
At least 2 years of experience performing data analytics.
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 utilizing and developing within Snowflake services (preferred).
Experience with Python, R, Spark, or SQL (preferred); AWS services; process management methodologies; and data governance concepts (preferred).

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