Senior Manager, Data Analysis - Messaging & Marketing Operations

📌 Core Information

🔹 Job Title: Senior Manager, Data Analysis - Messaging & Marketing Operations

🔹 Company: Capital One

🔹 Location: McLean, VA (with Richmond, VA as an alternative)

🔹 Job Type: Full-Time

🔹 Category: Financial Services

🔹 Date Posted: April 22, 2025

🔹 Experience Level: 5-10 years

🔹 Remote Status: On-site (with potential for hybrid work)

🚀 Job Overview

Key aspects of this role include:

• Partnering cross-functionally to validate business impacting analytical tools
• Enhancing technical and analytical skills while working with leaders to influence business strategies
• Managing, coaching, and mentoring junior associates
• Working on multiple concurrent projects in a fast-paced and entrepreneurial environment
• Collaborating with a network of hundreds of Data Analysts, Quants, and Data Scientists

ASSUMPTION: This role requires a strong balance of technical expertise, leadership, and communication skills to succeed in a dynamic and collaborative environment.

📋 Key Responsibilities

✅ Work with Enterprise and Card marketing technology platforms to enable program delivery of critical marketing communications

✅ Measure effectiveness of marketing communications and channels through analytical tools and dashboards

✅ Enable rapid experimentation in marketing communications through data standardization

✅ Refine a new Enterprise-wide analytical tools validation framework

✅ Plan and execute validation projects

✅ Assess the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes

✅ Understand technical issues in analytical tools and assess tools risks and opportunities

✅ Independently research, identify, and prototype industry best practices for emerging analytical tools

✅ Communicate results clearly and concisely through validation reports and presentations

✅ Leverage education, colleagues, and training opportunities to develop solutions to business problems

✅ Manage, coach, and mentor junior associates

ASSUMPTION: This role involves a mix of strategic planning, hands-on analysis, and team management, requiring adaptability and strong organizational skills.

🎯 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 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

Experience: At least 5 years of experience performing professional data analysis work, leading and developing with open source data technologies, and managing people.

Required Skills:

• Strong problem-solving and conceptual thinking abilities
• Excellent communication, interpersonal, and leadership skills
• Proven experience with data analysis, statistical modeling, and predictive analytics
• Familiarity with data governance and risk management principles
• Ability to work independently and in teams in a fast-paced environment

Preferred Skills:

• Master’s Degree or PhD in a related field
• Extensive experience in statistical or econometric hands-on work
• Proven experience with large data sets and developing statistical or econometric models
• Experience in the financial services industry
• Experience with data validation and predictive analytics

ASSUMPTION: While the preferred qualifications list is extensive, candidates with a strong foundation in data analysis and relevant experience are encouraged to apply.

💰 Compensation & Benefits

Salary Range: $175,500 - $220,300 for Sr. Data Analysis Manager (McLean, VA) and $175,500 - $200,300 for Sr. Data Analysis Manager (Richmond, VA)

Benefits:

• Comprehensive health, financial, and other benefits
• Performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI)

Working Hours: Full-time, typically 40 hours per week

ASSUMPTION: The salary range provided is inclusive of the minimum and maximum amounts Capital One is willing to pay at the time of this posting for candidates hired to perform work within the specified locations. Candidates hired to work in other locations will be subject to the pay range associated with that location.

📌 Applicant Insights

🔍 Company Context

Industry: Financial Services, with a focus on credit card products and services

Company Size: 10,001+ employees, providing ample opportunities for collaboration and growth

Founded: 1988, with a history of innovation and data-driven decision-making

Company Description:

• Capital One is a Fortune 200 company known for disrupting the credit card industry with data-driven strategies
• The company offers a wide range of personal and business credit card products, with a reputation for excellent rewards and benefits
• Capital One is committed to promoting a diverse and inclusive workplace, with a focus on work-life balance

Company Specialties:

• Credit card products and services
• Data analysis and modeling
• Risk management and collections

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

ASSUMPTION: Capital One's focus on data and analytics makes it an attractive choice for candidates interested in a dynamic and innovative work environment.

📊 Role Analysis

Career Level: Senior Manager, with opportunities for growth and development

Reporting Structure: This role involves cross-functional collaboration with various teams throughout the company

Work Arrangement: On-site, with potential for hybrid work arrangements

Growth Opportunities:

• Potential to influence business strategies and drive change
• Chance to work with a diverse and talented team of data professionals
• Opportunities to develop leadership, management, and technical skills

ASSUMPTION: This role offers a unique blend of strategic, analytical, and management responsibilities, providing ample opportunities for professional growth and development.

🌍 Location & Work Environment

Office Type: Corporate headquarters and regional offices

Office Location(s): 1680 Capital One Drive, McLean, VA 22102, US (with alternative locations in Richmond, VA and Vienna, VA)

Geographic Context:

• The Washington, D.C. metropolitan area offers a diverse range of cultural, historical, and recreational opportunities
• The region is home to numerous Fortune 500 companies and government agencies
• The cost of living in the area is generally higher than the national average

Work Schedule: Full-time, with potential for flexible work arrangements

ASSUMPTION: The location of this role provides access to a vibrant and dynamic professional community, with ample opportunities for networking and collaboration.

💼 Interview & Application Insights

Typical Process:

• Online application and resume submission
• Phone or video screen with a recruiter or HR representative
• Technical assessment or case study
• On-site or virtual interview with hiring manager and team members
• Final interview with senior leadership

Key Assessment Areas:

• Technical skills and problem-solving abilities
• Communication and interpersonal skills
• Leadership and management potential
• Cultural fit and alignment with company values

Application Tips:

• Highlight relevant experience and achievements in data analysis, statistical modeling, and predictive analytics
• Tailor your resume and cover letter to emphasize skills and experiences that match the required qualifications
• Prepare for behavioral and situational interview questions that focus on leadership, problem-solving, and teamwork
• Research Capital One's company culture and values to demonstrate your fit and enthusiasm for the role

ATS Keywords: Data Analysis, Statistical Modeling, Predictive Analytics, Leadership, Management, Teamwork, Problem-Solving, Communication, Marketing Communications, Data Standardization, Risk Management, Data Governance

ASSUMPTION: The interview process for this role will focus on assessing technical skills, leadership potential, and cultural fit, with a strong emphasis on problem-solving and communication abilities.

🛠️ Tools & Technologies

• Open-source data technologies
• Analytical tools and software
• Data visualization and reporting tools
• Marketing technology platforms

ASSUMPTION: This role requires proficiency in open-source data technologies and analytical tools, with the potential for exposure to marketing technology platforms and other relevant software.

👔 Cultural Fit Considerations

Company Values:

• Putting customers first
• Doing the right thing
• Acting like owners
• Inventing for customers
• Learning and growing together

Work Style:

• Collaborative and team-oriented
• Fast-paced and entrepreneurial
• Data-driven and analytical
• Focused on work-life balance

Self-Assessment Questions:

• How do your personal values align with Capital One's company values?
• Are you comfortable working in a fast-paced and dynamic environment?
• Do you thrive in a collaborative and team-oriented work setting?
• How do you approach learning and growing in a new role?

ASSUMPTION: Capital One's company culture emphasizes customer focus, integrity, ownership, innovation, and continuous learning, with a strong emphasis on collaboration and teamwork.

⚠️ Potential Challenges

• Managing multiple concurrent projects and priorities
• Balancing strategic planning and hands-on analysis
• Working with diverse teams and stakeholders
• Keeping up with emerging analytical tools and technologies

ASSUMPTION: This role presents unique challenges and opportunities, requiring strong organizational skills, adaptability, and a strategic mindset.

📈 Similar Roles Comparison

• Compared to other senior data analysis roles, this position emphasizes cross-functional collaboration and strategic influence
• In the financial services industry, this role focuses on marketing communications and customer engagement
• Career path comparison: This role offers opportunities for growth into senior leadership or specialized technical expertise

ASSUMPTION: This role provides a unique blend of strategic, analytical, and management responsibilities, setting it apart from related positions in the industry.

📝 Sample Projects

• Developing and implementing a new analytical tools validation framework
• Conducting a comprehensive analysis of marketing communications effectiveness
• Identifying and prototyping industry best practices for emerging analytical tools

ASSUMPTION: These sample projects illustrate the strategic, analytical, and management aspects of the role, highlighting the need for a well-rounded skill set.

❓ Key Questions to Ask During Interview

• How does this role fit into the overall data analysis and marketing strategy for Capital One?
• What are the key priorities for this role in the first 30, 60, and 90 days?
• How does the team collaborate and support each other in achieving shared goals?
• What opportunities are there for professional growth and development in this role?
• How does Capital One support work-life balance for its employees?

ASSUMPTION: These interview questions focus on understanding the role's strategic context, team dynamics, growth opportunities, and work-life balance, providing valuable insights for candidates.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link: https://capitalone.wd12.myworkdayjobs.com/Capital_One/job/McLean-VA/Senior-Manager--Data-Analysis---Messaging---Marketing-Operations_R214112-1
• Tailor your resume to highlight relevant experience and skills for this role
• Craft a cover letter that demonstrates your enthusiasm for the position and alignment with Capital One's values
• Prepare for the interview process by researching Capital One's company culture and values, and practicing your problem-solving and communication skills
• Follow up with the hiring manager or recruiter after your interview to express your interest in the role and address any remaining questions

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