Data Analysis Manager - Analysis Platform Product

Capital One; McLean (VA); On-site; USD 165,000 - 188,000; Full time

Job summary

Capital One is seeking a data analytics leader to drive strategy and mentoring for a fast-paced team. You will work with large datasets, build models, and collaborate across units to elevate data-driven decisions.

The role emphasizes hands-on analytics with a focus on BI, AWS, Python, and SQL, in a dynamic, entrepreneurial environment with limited travel.

Qualifications

• Bachelor’s degree in quantitative field and 4+ years analytics experience, or Master’s with 4+ years analytics.
• Proficiency in Python, R, Spark or SQL; strong data modeling and testing experience.
• Experience leading teams and projects; familiarity with AWS and Tableau is preferred.

Responsibilities

• Lead a team of junior analysts and mentor career development.
• Mine data and build models to test and validate data.
• Collaborate across business units on data-driven initiatives.
• Develop production-ready data storage and analysis solutions.

Skills

Python

R

Spark

SQL

Leadership

Project management

Tableau

AWS

Education

Bachelor’s Degree in quantitative field

Master’s Degree

Job description

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.

What you’ll do:

• Drive current and future strategy by leveraging your analytical skills
• Assist with building and using models to test and validate data
• Work with vast amounts of data in new and evolving environments
• Be a part of growing and developing our brand in new and emerging markets
• Leverage analytics to create a customer experience above our peers
• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
• Be a part of the full life cycle of projects and see end results
• Collaborate across business units
• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
• Experience real work life balance, with little travel involved

On any given day you will be:

• Mining data to arrive at specific and crucial information for the organization
• Identifying and implementing process, data, and reporting improvements for the organization
• Working with large and complex databases containing millions to billions of records
• Improving operational efficiencies and effectiveness
• Conducting analysis to evaluate processes and tests
• Extracting and analyzing data to gauge product offerings
• Consulting on the design and implementation of new production and data storage systems
• Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

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 6 years of experience performing data analytics, or
• Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
• At least 4 years of experience performing professional data analysis work
• At least 4 years of experience performing programming

Preferred Qualifications:

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
• At least 7 years of professional data analysis work experience
• At least 4 years of experience with Python, R, Spark or SQL
• At least 1 year of experience in people management
• At least 1 years of project management experience
• At least 1 year of experience in Tableau
• Proficient utilizing and developing within AWS service

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

McLean, VA: $164,800 - $188,100 for Data Analysis Manager

Richmond, VA: $149,800 - $171,000 for Data Analysis Manager

New York, NY: $179,700 - $205,100 for Data Analysis Manager

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.

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.