Senior Data Analyst - Commercial

Socket.dev; New York (NY); On-site; USD 121,300 - 138,400; Full time

Job summary

Capital One is seeking a Senior Data Analyst in New York to leverage analytics and technical skills to create data solutions and insights. The role emphasizes building self‑service capabilities, partnering on dashboards, and maintaining data quality and governance.

The ideal candidate will have a quantitative degree and experience with Python, R, Spark, SQL, Snowflake, and AWS, with a track record in data visualization and analytics across data warehouses and unstructured data.

Qualifications

• Degree in science/tech/engineering/math with analytics experience.
• At least 1 year of scripting experience.
• Experience with BI visualization tools.
• Experience querying and analyzing data languages/platforms.

Responsibilities

• Mine diverse data sources and build well‑managed data solutions.
• Develop self‑service tools and dashboards for insights.
• Collaborate with Tech on data governance and security.

Skills

Python

R

Spark

SQL

Data analysis

Education

Bachelor’s Degree in quantitative field

Master’s Degree

Tools

Snowflake

AWS

Informatica DQ

Job description

Senior Data Analyst - Commercial

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data‑driven decision‑making.

As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well‑managed data solutions and capabilities to tackle business problems.

Innovation

• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
• Build well‑managed data solutions, tools, and capabilities to enable self‑service frameworks for data consumers
• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

Business Intelligence

• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
• Drive analysis that provides meaningful insights on business strategies

Data Management

• Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
• Build and execute tools to monitor and report on data quality

Our ideal candidate will have:

• Degree specialized in a Science, Technology, Engineering, Mathematics discipline
• Scripting experience in (Python, R, Spark, and SQL)
• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
• Experience utilizing and developing within Snowflake services

Basic Qualifications:

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree with an expectation that required degree will be obtained on or before the scheduled start date.
• At least 1 year of experience working with at least one scripting language
• At least 1 year of experience utilizing business intelligence visualization tool
• At least 1 year of experience querying, analyzing and working with data languages and platforms

Preferred Qualifications:

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
• At least 2 years of experience coding in Python, R, Spark, or SQL
• At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
• At least 1 year of experience utilizing and developing within AWS services
• At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full‑time annual salaries for this role are listed below, by location. McLean, VA: $111,200 - $126,900 for Sr. Data Analyst. New York, NY: $121,300 - $138,400 for Sr. Data Analyst.

This role is eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

For an accommodation request, please contact Capital One Recruiting at 1-800-304-9102 or via email at [e-mail].

For technical support or questions about the recruiting process, please send an email to [e-mail].