Principal Data Analyst - Card

Capital One Financial Corporation
Richmond, VA, United States
10 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$131,300.0 - $149,800.0
Working hours
Regular working hours

Tech stack

Agile Methodology Amazon Web Services Data Analysis Data Governance Data Security Data Systems Data Visualization Data Warehousing R (Programming Language) Python (Programming Language) Metadata Open Source Technology
+8 more
Standard Sql SQL Databases Unstructured Data Scripting Apache Spark Information Technology Data Analytics Data Management

Job description

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 on 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

Requirements

  • 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 AWS services, * 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 5 years of experience performing data analytics, or, a Master’s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
  • At least 3 years of experience working with at least one scripting language
  • At least 3 years of experience utilizing a business intelligence visualization tool
  • At least 3 years of experience in querying, analyzing and working with data languages and platforms, * Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
  • At least 4 years of experience coding in Python, R, Spark, or SQL
  • At least 4 years of experience working within process management and improvement methodologies - Agile, Lean, Six Sigma, etc.
  • At least 2 years of experience utilizing and developing within AWS services
  • At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry

Benefits & conditions

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

This role is Hybrid, with associates expected to consistently spend three days per week in the office.

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: $131,300 - $149,800 for Principal Data Analyst

Richmond, VA: $119,400 - $136,200 for Principal 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.

About the company

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., Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.capitalonecareers.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:47 min

Comparing Egeria to alternative open metadata solutions

Ferd Scheepers · WWC 2022

1:04 min

Introduction to Bitcoin script parsing tools

Steve Shadders · LIVE

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:08 min

Creating standard APIs via the Egeria open metadata project

Ferd Scheepers · WWC 2022

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all