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Principal Data Analyst - Learning & Development

Capital One

McLean (VA)

On-site

USD 127,000 - 146,000

Full time

5 days ago
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Job summary

An established industry player is seeking a Principal Data Analyst to join their innovative team. In this role, you will harness your analytical and technical skills to develop data solutions that drive business insights. Your work will encompass innovation, business intelligence, and data management, allowing you to partner with various teams to enhance data quality and accessibility. This position offers a unique opportunity to work with cutting-edge technologies, ensuring that data remains at the forefront of decision-making processes. If you are passionate about data and eager to make a meaningful impact, this role is perfect for you.

Benefits

Comprehensive health benefits
Performance-based incentives
Inclusive work environment
Flexible working arrangements

Qualifications

  • 5+ years of experience in data analytics or 3+ years with a Master's degree.
  • Experience in querying and analyzing data using various languages.

Responsibilities

  • Leverage analytic skills to innovate and maintain data solutions.
  • Drive analysis providing insights on business strategies.

Skills

Data Analytics
Python
R
Spark
SQL
Data Visualization
Data Quality Management

Education

Bachelor's Degree in STEM
Master's Degree in STEM
PhD in STEM

Tools

AWS
Business Intelligence Tools

Job description

Principal Data Analyst - Learning & Development

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 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

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 AWS services

Basic Qualifications:

  • Bachelor's Degree plus at least 5 years of experience in data analytics, or Master's Degree plus at least 3 years in data analytics, or PhD

  • At least 3 years of experience in at least one scripting language

  • At least 1 year of experience utilizing a business intelligence visualization tool

  • At least 3 years of experience in querying and analyzing and working with data languages and platforms

Preferred Qualifications:

  • 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

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: $127,500 - $145,500 for Principal Data AnalystRichmond, VA: $115,900 - $132,200 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 theCapital 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. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

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).

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