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Data Analysis Manager- Marketing and Messaging Operations

Capital One
Full-time
On-site
Richmond, Virginia, United States
🌐 Digital Marketing

πŸ“Œ Core Information

πŸ”Ή Job Title: Data Analysis Manager - Marketing and Messaging Operations

πŸ”Ή Company: Capital One

πŸ”Ή Location: McLean, VA (with Richmond, VA as an alternative)

πŸ”Ή Job Type: Full-Time

πŸ”Ή Category: Financial Services

πŸ”Ή Date Posted: April 22, 2025

πŸ”Ή Experience Level: 5-10 years

πŸ”Ή Remote Status: On-site (with potential for hybrid work)

πŸš€ Job Overview

Key aspects of this role include:

  • Driving strategy through data analysis
  • Building and using models to test and validate data
  • Working with vast amounts of data in evolving environments
  • Growing and developing the company's brand in new markets
  • Leveraging analytics to create a superior customer experience
  • Leading and mentoring a team of junior analysts
  • Collaborating across business units
  • Working in a fast-paced, entrepreneurial environment with a focus on data
  • Experiencing real work-life balance with minimal travel

ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and the ability to manage and mentor a team.

πŸ“‹ Key Responsibilities

βœ… Drive current and future strategy by leveraging analytical skills

βœ… Assist with building and using models to test and validate data

βœ… Work with large and complex databases containing millions to billions of records

βœ… Improve operational efficiencies and effectiveness

βœ… Conduct analysis to evaluate processes and tests

βœ… Extract and analyze data to gauge product offerings

βœ… Consult on the design and implementation of new production and data storage systems

βœ… Develop and implement strategic tests of products, initiatives, and marketing materials

ASSUMPTION: This role involves a mix of strategic planning, hands-on data analysis, and team management.

🎯 Required Qualifications

Education: Currently has, or is in the process of obtaining, a Bachelor’s Degree in a 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 currently has, or is in the process of obtaining, a Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that the required degree will be obtained on or before the scheduled start date.

Experience: At least 4 years of experience performing professional data analysis work and at least 4 years of experience performing programming.

Required Skills:

  • Data analysis
  • Statistical modeling
  • Programming
  • Problem-solving skills
  • Conceptual thinking abilities
  • Communication, interpersonal, and leadership skills

Preferred Skills:

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

ASSUMPTION: While a Master's degree is preferred, a Bachelor's degree with relevant experience will also be considered.

πŸ’° Compensation & Benefits

Salary Range: $144,000 - $180,800 per year (varies by location)

Benefits:

  • Health, financial, and other benefits (see job description for details)

Working Hours: Full-time (40 hours per week)

ASSUMPTION: The salary range provided is based on the company's official posting and may vary depending on the candidate's experience and location.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Financial Services. Capital One is a Fortune 200 company known for its innovative use of data and analytics in decision-making.

Company Size: 10,001+ employees. As a large company, Capital One offers extensive resources and opportunities for career growth.

Founded: 1988. Capital One was founded as a startup and has since grown into a leading financial institution.

Company Description:

  • Data-driven decision-making is at the core of Capital One's operations
  • The company is known for its innovative use of technology and analytics
  • Capital One offers a supportive culture with amazing benefits

Company Specialties:

  • Business Banking

Company Website: http://www.capitalone.com

ASSUMPTION: Capital One is a well-established company with a strong focus on data and analytics, providing ample opportunities for career growth and development.

πŸ“Š Role Analysis

Career Level: Mid-level to senior. This role requires significant experience in data analysis and management.

Reporting Structure: This role involves leading a team of junior analysts and collaborating with various business units.

Work Arrangement: On-site, with potential for hybrid work. The role requires minimal travel, allowing for a better work-life balance.

Growth Opportunities:

  • Mentoring and developing junior analysts
  • Collaborating with various business units to expand influence and impact
  • Potential for career progression into more senior roles within the data analysis or management fields

ASSUMPTION: This role offers significant opportunities for career growth and development within the data analysis and management fields.

🌍 Location & Work Environment

Office Type: Corporate office environment. Capital One's offices are designed to foster collaboration and innovation.

Office Location(s): McLean, VA (with an alternative location in Richmond, VA)

Geographic Context:

  • McLean, VA: A suburb of Washington, D.C., with a mix of urban and suburban living options
  • Richmond, VA: The capital of Virginia, offering a blend of urban and historic living experiences

Work Schedule: Full-time, with flexible hours and minimal travel required.

ASSUMPTION: Both locations offer a mix of urban and suburban living options, with Richmond providing a more historic and culturally rich experience.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Online application submission
  • Phone or video screening
  • On-site or virtual interview with hiring manager and team members
  • Final interview with senior leadership
  • Background check and onboarding

Key Assessment Areas:

  • Data analysis and problem-solving skills
  • Communication and interpersonal skills
  • Leadership and team management skills
  • Cultural fit and alignment with Capital One's values

Application Tips:

  • Highlight relevant data analysis experience and achievements on your resume
  • Tailor your cover letter to emphasize your fit for the role and enthusiasm for data-driven decision-making
  • Prepare for behavioral and technical interview questions focused on data analysis and management
  • Research Capital One's company culture and values to demonstrate your fit

ATS Keywords: Data analysis, statistical modeling, programming, Python, R, Spark, SQL, business intelligence, project management, people management, Tableau, AWS, analytical skills, problem-solving, communication, interpersonal, leadership

ASSUMPTION: The interview process will focus on assessing the candidate's data analysis skills, cultural fit, and leadership potential.

πŸ› οΈ Tools & Technologies

  • Python, R, Spark, SQL
  • Tableau
  • AWS services

ASSUMPTION: Proficiency in these tools and technologies is required for this role, with a strong focus on data analysis and management.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Act with integrity
  • Make it right
  • Collaborate with heart
  • Invent with purpose
  • Reach for growth

Work Style:

  • Data-driven decision-making
  • Collaborative and innovative environment
  • Focus on continuous learning and growth
  • Supportive culture with amazing benefits

Self-Assessment Questions:

  • Do you align with Capital One's core values and work style?
  • Are you comfortable working in a fast-paced, collaborative environment?
  • Do you have a strong desire to learn and grow in your role?

ASSUMPTION: Capital One values candidates who are passionate about data, collaborative, and committed to continuous learning and growth.

⚠️ Potential Challenges

  • Managing a team of junior analysts with varying skill levels and experience
  • Balancing strategic planning with hands-on data analysis
  • Adapting to a fast-paced, entrepreneurial environment
  • Minimal travel requirements may not suit candidates who prefer frequent business travel

ASSUMPTION: These challenges can be overcome with strong leadership, time management, and adaptability.

πŸ“ˆ Similar Roles Comparison

  • Data Analysis Manager vs. Senior Data Analyst: The manager role involves leading a team and focusing on strategic planning, while the senior data analyst role is more focused on hands-on data analysis
  • Industry-specific context: Capital One's focus on data-driven decision-making sets it apart from other financial services companies
  • Career path comparison: This role can lead to senior data analysis or management positions within Capital One or other financial services companies

ASSUMPTION: This role offers a unique blend of strategic planning, hands-on data analysis, and team management, with opportunities for career growth and development.

πŸ“ Sample Projects

  • Developing and implementing a strategic test of a new marketing campaign to optimize customer engagement
  • Analyzing customer data to identify trends and opportunities for targeted marketing initiatives
  • Collaborating with business units to improve operational efficiencies and effectiveness through data-driven insights

ASSUMPTION: These sample projects demonstrate the range of responsibilities and opportunities for impact in this role.

❓ Key Questions to Ask During Interview

  • What are the most pressing data analysis challenges facing the team currently?
  • How does this role collaborate with other business units, and what are the key priorities for these collaborations?
  • What is the company's approach to professional development and growth for this role?
  • How does the company support work-life balance for this position?
  • What are the key performance indicators (KPIs) for this role, and how are they tracked and reported?

ASSUMPTION: Asking these questions will help you understand the role's priorities, expectations, and opportunities for growth and development.

πŸ“Œ Next Steps for Applicants

To apply for this position:

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.