Manager, Data Analysis - US Card

We need to output HTML fragment with sections: About the role? The posting includes description about Capital One, role description, responsibilities, qualifications, preferred qualifications, pay, schedule, benefits. We must not repeat job title as heading. Use

for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections if posting has real specific content. We need to parse content. First paragraph: "At Capital One, data is at the center..." That's about the company and role context. Could be "About the role" or maybe "About Capital One". The instruction: use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we can put an "About the role" section with that intro. Then "What you’ll do:" list of duties. That's responsibilities. Then "An ideal candidate will be on the leading edge..." That's qualifications/skills? Could be "Qualifications" or "Skills". Then "Basic Qualifications" list. Then "Preferred Qualifications:" list. Then "Capital One will consider sponsoring..." that's maybe not needed. Then "This role is Hybrid..." schedule. Then salary info: Pay. Then benefits: "Capital One offers a comprehensive..." benefits. We need to remove boilerplate: EEO, legal, accommodation, etc. Also remove "No agencies please." etc. Also remove "Capital One does not provide..." etc. Also remove "Capital One Financial is made up..." etc. We need to preserve all substantive information. Let's extract substantive content: About the role: The first paragraph describing Capital One's data focus and role: "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. If you thrive in a dynamic environment, value continuous learning over the familiarity of routine, and embrace white-space strategic thinking and analytical rigor, this might be the role for you!" That's substantive. Responsibilities: The list after "What you’ll do:" includes: - Assist with building and using models to test and validate data - 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 We need to ensure each bullet is a

. Qualifications/Skills: The paragraph "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." That could be Skills or Qualifications. Then Basic Qualifications list: - 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 list: - 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 Also note "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." That's substantive about visa sponsorship; could be included maybe under a separate section? Not in headings list; but we could fold into About the role or maybe a note. The instruction: "Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

or drop it." Sponsorship is not minor metadata; it's substantive. Could be included in a paragraph under About the role or maybe a separate section like "Visa Sponsorship". But headings list limited; we could include it in About the role paragraph. Schedule: "This role is Hybrid, with associates expected to consistently spend three days per week in the office" Pay: Salary ranges for McLean, VA and Richmond, VA. Also note about other locations and incentive compensation. So we need Pay section with that info. Benefits: "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." That's benefits. We must not include boilerplate like "This role is expected to accept applications for a minimum of 5 business days. No agencies please." etc. Also remove EEO, accommodation, etc. Now construct HTML. We'll have sections:

About the role

... (including sponsorship sentence)

Responsibilities

• ... each bullet

Qualifications

Maybe split into Basic and Preferred? Could have two subsections? But headings list only includes Qualifications (maybe combine). Could do

Qualifications

then

Basic Qualifications:

... then

Preferred Qualifications:

... That's okay. Alternatively could have Skills section for the ideal candidate paragraph. But we have Skills heading available. Let's allocate:

Skills

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.

Qualifications

Basic Qualifications:

... (3 items)

Preferred Qualifications:

... (7 items)
But we need to keep the content exactly as given, not invent. The bullet items need to be exactly as in posting. Let's extract Basic Qualifications bullet points exactly: - 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 Note there is no bullet before the first? It's written as "Currently has, or is in the process of obtaining a:Bachelor’s Degree..." It's a sentence; we can treat as a list item. Preferred Qualifications bullet points: - 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 Now Pay section: need to include salary ranges and incentive compensation. Text: "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: $164,800 - $188,100 for Data Analysis Manager Richmond, VA: $149,800 - $171,000 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." We should keep that. Benefits section: "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." Schedule section: "This role is Hybrid, with associates expected to consistently spend three days per week in the office" Now About the role paragraph: include the initial description plus sponsorship sentence: "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." We need to ensure we don't include any boilerplate like "Capital One is an equal opportunity employer..." etc. Now construct HTML. We'll output:

About the role

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. If you thrive in a dynamic environment, value continuous learning over the familiarity of routine, and embrace white-space strategic thinking and analytical rigor, this might be the role for you! Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Responsibilities

• Assist with building and using models to test and validate data
• 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

Skills