Senior Data Analyst - Enterprise Services

Capital One; Chicago (IL); On-site; USD 101,000 - 115,000; Full time

Job summary

Capital One is seeking a Senior Data Analyst to drive data solutions across Innovation, BI, and Data Management. You will collaborate with business teams to translate needs into dashboards and analytics, while ensuring data quality and governance across Snowflake, AWS, and related platforms.

The role emphasizes scripting in Python/R/Spark and SQL, with a focus on data warehouses, unstructured data, and scalable data practices to empower data-driven decisions.

Qualifications

• Bachelor's degree in a quantitative field plus 2+ years of data analytics experience.
• At least 1 year of experience with a scripting language.
• At least 1 year of experience utilizing a BI visualization tool.
• At least 1 year of experience querying and analyzing data languages and platforms.

Responsibilities

• Leverage analytics to build and maintain data solutions and capabilities.
• Partner with business to design dashboards and metrics for insights.
• Drive data quality, metadata, lineage, and governance practices.
• Collaborate with Tech teams to monitor access controls and data security.
• Contribute to modernization and innovation in data management and BI.

Skills

Python

SQL

Spark

R

Education

Bachelor's degree in quantitative field

Tools

Snowflake

AWS

Informatica DQ

Job description

Senior Data Analyst - Enterprise Services

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.

On any given day you will be challenged by three types of work - Innovation, Business Intelligence and Data Management:

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. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

• McLean, VA: $111,200 - $126,900 for Sr. Data Analyst
• Richmond, VA: $101,100 - $115,400 for Sr. Data Analyst
• New York, NY: $121,300 - $138,400 for Sr. Data Analyst
• Chicago, IL: $101,100 - $115,400 for Sr. Data Analyst
• San Francisco, CA: $121,300 - $138,400 for Sr. Data Analyst

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

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.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please