14,065 Data Science Managers jobs in the United States

Data Analysis: Consolidate and analyze software asset data to identify rationalization opportunities and evaluate product portfolios for optimization. This individual would serve as a go-to for pulling data from all relevant sources into the tool/templates. ServiceNow, Discovery Tools, Lean/CE Way data, and financial information.

Goal/Metric Tracking:

• Assistance in maintaining metrics essential for accurate reporting to management on this initiative.
• Experience in data analysis and reporting
• Proficiency in all Microsoft office productivity products, including excel
• Basic understanding of application architecture and IT infrastructure
• General understanding of Software Asset Management concepts
• Excellent collaborative skills
• Ability work on multiple activities simultaneously
• Experience in working in a team environment with responsibilities that are time sensitive

Manager, Data Analysis - Card Data Management

Capital One’s Card Data Management (CDM) organization is the risk steward for ensuring a well managed data ecosystem for the organization. CDM serves as the governance function accountable for the data risk for the organization. CDM is on a transformational journey to build out the data governance control framework focusing on automation and preventative controls to unleash the business for future data needs including generative AI and new third party data.

The CDM Team is currently hiring for a Data Analysis Manager who will work closely with a group of analysts and risk managers to develop and improve data management related controls and reporting to support Card’s data management strategy. As Card manages a significant portion of Capital One’s data footprint, this role provides opportunities for deep analytics to drive future data strategies.

This individual should possess a strong understanding of data and data environments, a passion for innovation and automation in a well managed manner, a proven track record of leading and mentoring junior analysts, and is known for strong influence and communication skills.

This role is ideal for someone who is capable of driving transformational change and delivering game-changing value. The preferred candidate will have a strong data background and loves to partner with the Card Business and our eData partners.

What you’ll do:

• Drive current and future strategy by leveraging your analytical skills

• Work with vast amounts of data in new and evolving environments

• Leverage analytics to create a compelling customer experience that enables future data growth and usage

• Mentor a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

• Drive meaningful change to enterprise data products through the full life cycle

• Collaborate across Card business units and eData product teams

• 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:

• Designing, developing, and continuously improving the Card’s data management controls, while also autonomously driving the process to evaluate effectiveness of Card controls in adherence with the methodology

• Maintain a strategic view of Card’s data footprint while driving improvements

• Building relationships and collaborating with key stakeholders

• Furthering the data agenda within Card to drive sustainability, amplify simplification & automation, enable ownership & accountability through transparency, and strengthen the control ecosystem

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 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 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.

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: $158,400 - $80,800 for Data Analysis Manager

Richmond, VA: 144,000 - 164,400 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.

No agencies please. 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 ; 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 or via email at . 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

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).

Manager, Data Analysis - Card Data Management

Capital One's Card Data Management (CDM) organization is the risk steward for ensuring a well managed data ecosystem for the organization. CDM serves as the governance function accountable for the data risk for the organization. CDM is on a transformational journey to build out the data governance control framework focusing on automation and preventative controls to unleash the business for future data needs including generative AI and new third party data.

The CDM Team is currently hiring for a Data Analysis Manager who will work closely with a group of analysts and risk managers to develop and improve data management related controls and reporting to support Card's data management strategy. As Card manages a significant portion of Capital One's data footprint, this role provides opportunities for deep analytics to drive future data strategies.

This individual should possess a strong understanding of data and data environments, a passion for innovation and automation in a well managed manner, a proven track record of leading and mentoring junior analysts, and is known for strong influence and communication skills.

This role is ideal for someone who is capable of driving transformational change and delivering game-changing value. The preferred candidate will have a strong data background and loves to partner with the Card Business and our eData partners.

What you'll do:

• Drive current and future strategy by leveraging your analytical skills

• Work with vast amounts of data in new and evolving environments

• Leverage analytics to create a compelling customer experience that enables future data growth and usage

• Mentor a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

• Drive meaningful change to enterprise data products through the full life cycle

• Collaborate across Card business units and eData product teams

• 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:

• Designing, developing, and continuously improving the Card's data management controls, while also autonomously driving the process to evaluate effectiveness of Card controls in adherence with the methodology

• Maintain a strategic view of Card's data footprint while driving improvements

• Building relationships and collaborating with key stakeholders

• Furthering the data agenda within Card to drive sustainability, amplify simplification & automation, enable ownership & accountability through transparency, and strengthen the control ecosystem

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 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 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.

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: $158,400 - $80,800 for Data Analysis Manager Richmond, VA: 144,000 - 164,400 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 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 (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 ; 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 or via email at 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

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).

Req ID: RQ

Type of Requisition: Regular

Clearance Level Must Be Able to Obtain: Secret

Public Trust/Other Required: None

Job Family: Data Science and Data Engineering

Skills:

Data Analysis,Data Analytics,Data Insights

Experience:

5 + years of related experience

US Citizenship Required:

Yes

Job Description:

Own your opportunity to turn data into measurable outcomes for our customers' most complex challenges. As a Data Analysis Manager at GDIT, you'll power innovation to drive mission impact and grow your expertise to power your career forward.

The Data Analysis Manager will lead a driven, dynamic team of analysts responsible for providing data analysis and reporting across multiple high-profile federal contracts. They will architect, coordinate, and manage the flow of data to stakeholders at all levels to ensure GDIT exceeds relevant operational metrics and identifies any potential performance obstacles as they arise. By guiding their team in the creation of reporting and visualization tools that communicate vital information effectively and efficiently, they will be the lynchpin that ensures program leaders have the data insights essential to be successful. And, through continued innovation and improvement of these reporting tools, they will take part in transforming how our contract programs manage and receive their data, creating a new paradigm for how our company measures and quantifies success.

Bring your energy and passion to help us grow and we'll make sure you have a prime opportunity to grow and further your career with us in a rewarding environment that always puts the people at the heart of our mission first and foremost.

MEANINGFUL WORK AND PERSONAL IMPACT

• Manage, mentor, and develop a team of 10+ data analysts within the Data Insights and Visualization practice in Technology Shared Services (TSS)

• Manage utilization, compliance, and performance management for data analysts at various experience levels

• Lead monitoring and reporting of key performance metrics for multiple programs

• Develop, expand, and innovate on data and reporting solutions for the business

• Collaborate with product and growth teams to align capabilities and solutions to pipeline opportunities and new sales opportunities

• Design, maintain, and grow the use of data visualization tools on program and in client environments

• Maintain and oversee standards for data accuracy and integrity

• Develop and deliver executive-level presentations on data solutions, status, and performance of teams and organizations

• Work with program leadership to set and maintain acceptable metric goals

• Communicate with program leadership on performance problems

• Review and improve existing policies and procedures

WHAT YOU'LL NEED TO SUCCEED

Bring your expertise and drive for innovation to GDIT. The Data Analysis Manager must have the following:

Education: Bachelor of Arts/Bachelor of Science in data analytics, data science, computer science, statistics, mathematics, or a related field

Experience: 5+ years of experience in data analytics

Technical Skills:

• Advanced proficiency with dashboards and reports in Microsoft Power BI and Tableau, including Desktop and Prep

• Advanced proficiency with Microsoft Excel

• Advanced proficiency with presentation and data storytelling

• Proficiency with SQL and Python

• Experience with Microsoft 365 and low-code/no-code development tools such as Power Apps and Automate

• Experience with ServiceNow or other ITSM/CRM platforms

• Experience with Tableau Server technology stack and administration

• Experience with generative AI solutions as they relate to the data analyst field

Role Requirements:

• Excellent problem-solving and analytical skills

• Excellent communication skills

• Ability to manage and employees at various experience and skill levels

• Ability to present to internal and external stakeholders at all levels

• Ability to sell solutions and deliver growth for a data organization

Nice to Have:

• Certifications in AWS, Azure, or Google Cloud

• Certifications in ITIL 4

• Certifications in SAFe

• Experience with other dashboard, data visualization, and analysis technologies like Plotly, Looker, Domo, Qlik, and others

Security Clearance Level: Must be able to attain an Active Secret Clearance

US Citizenship Required

Location: Hybrid at GDIT"s Integrated Technology Center in Bossier City, LA

GDIT IS YOUR PLACE

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

Growth: AI-powered career tool that identifies career steps and learning opportunities

Support: An internal mobility team focused on helping you achieve your career goals

Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off

Flexibility: Full-flex work week to own your priorities at work and at home

Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY

Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

The likely salary range for this position is $106,250 - $143,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Join our Talent Community to stay up to date on our career opportunities and events at

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

**Req ID:** RQ
**Type of Requisition:** Regular
**Clearance Level Must Be Able to Obtain:** Secret
**Public Trust/Other Required:** None
**Job Family:** Data Science and Data Engineering
**Skills:**
Data Analysis,Data Analytics,Data Insights
**Experience:**
5 + years of related experience
**US Citizenship Required:**
Yes
**Job Description:**
Own your opportunity to turn data into measurable outcomes for our customers' most complex challenges. As a **Data Analysis Manager** at GDIT, you'll power innovation to drive mission impact and grow your expertise to power your career forward.
The **Data Analysis Manager** will lead a driven, dynamic team of analysts responsible for providing data analysis and reporting across multiple high-profile federal contracts. They will architect, coordinate, and manage the flow of data to stakeholders at all levels to ensure GDIT exceeds relevant operational metrics and identifies any potential performance obstacles as they arise. By guiding their team in the creation of reporting and visualization tools that communicate vital information effectively and efficiently, they will be the lynchpin that ensures program leaders have the data insights essential to be successful. And, through continued innovation and improvement of these reporting tools, they will take part in transforming how our contract programs manage and receive their data, creating a new paradigm for how our company measures and quantifies success.
Bring your energy and passion to help us grow and we'll make sure you have a prime opportunity to grow and further your career with us in a rewarding environment that always puts the people at the heart of our mission first and foremost.
**MEANINGFUL WORK AND PERSONAL IMPACT**
+ Manage, mentor, and develop a team of 10+ data analysts within the Data Insights and Visualization practice in Technology Shared Services (TSS)
+ Manage utilization, compliance, and performance management for data analysts at various experience levels
+ Lead monitoring and reporting of key performance metrics for multiple programs
+ Develop, expand, and innovate on data and reporting solutions for the business
+ Collaborate with product and growth teams to align capabilities and solutions to pipeline opportunities and new sales opportunities
+ Design, maintain, and grow the use of data visualization tools on program and in client environments
+ Maintain and oversee standards for data accuracy and integrity
+ Develop and deliver executive-level presentations on data solutions, status, and performance of teams and organizations
+ Work with program leadership to set and maintain acceptable metric goals
+ Communicate with program leadership on performance problems
+ Review and improve existing policies and procedures
**WHAT YOU'LL NEED TO SUCCEED**
_Bring your expertise and drive for innovation to GDIT. The Data Analysis Manager must have the following:_
**Education:** Bachelor of Arts/Bachelor of Science in data analytics, data science, computer science, statistics, mathematics, or a related field
**Experience:** 5+ years of experience in data analytics
**Technical Skills:**
+ Advanced proficiency with dashboards and reports in Microsoft Power BI and Tableau, including Desktop and Prep
+ Advanced proficiency with Microsoft Excel
+ Advanced proficiency with presentation and data storytelling
+ Proficiency with SQL and Python
+ Experience with Microsoft 365 and low-code/no-code development tools such as Power Apps and Automate
+ Experience with ServiceNow or other ITSM/CRM platforms
+ Experience with Tableau Server technology stack and administration
+ Experience with generative AI solutions as they relate to the data analyst field
**Role Requirements:**
+ Excellent problem-solving and analytical skills
+ Excellent communication skills
+ Ability to manage and employees at various experience and skill levels
+ Ability to present to internal and external stakeholders at all levels
+ Ability to sell solutions and deliver growth for a data organization
**Nice to Have:**
+ Certifications in AWS, Azure, or Google Cloud
+ Certifications in ITIL 4
+ Certifications in SAFe
+ Experience with other dashboard, data visualization, and analysis technologies like Plotly, Looker, Domo, Qlik, and others
**Security Clearance Level:** Must be able to attain an Active Secret Clearance
**US Citizenship Required**
**Location:** Hybrid at GDIT"s Integrated Technology Center in Bossier City, LA
**GDIT IS YOUR PLACE**
_At GDIT, the mission is our purpose, and our people are at the center of everything we do._
**Growth:** AI-powered career tool that identifies career steps and learning opportunities
**Support:** An internal mobility team focused on helping you achieve your career goals
**Rewards:** Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
**Flexibility:** Full-flex work week to own your priorities at work and at home
**Community:** Award-winning culture of innovation and a military-friendly workplace
**OWN YOUR OPPORTUNITY**
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
The likely salary range for this position is $106,250 - $143,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
Join our Talent Community to stay up to date on our career opportunities and events at Opportunity Employer / Individuals with Disabilities / Protected Veterans

Manager, Data Analysis

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 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 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.

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: $158,400 - $80,800 for Data Analysis Manager

Richmond, VA: 144,000 - 164,400 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.

No agencies please. 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 ; 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 or via email at . 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

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).

Manager, Data Analysis

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 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 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.

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: $158,400 - $80,800 for Data Analysis Manager Richmond, VA: 144,000 - 164,400 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 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 (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 ; 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.

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For technical support or questions about Capital One's recruiting process, please send an email to

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).

Job Description:

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted.  No relocation is offered.

Join AT&T and reimagine the communications and technologies that connect the world. Our Consumer Technology experience team is delivering innovative and reliable technology solutions to power differentiated, simplified customer experiences. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future- you’ll create it.

We’re seeking a data-driven professional to support the engineering, analysis, and documentation of enterprise datasets using SQL and related tools. This role is ideal for someone eager to learn the business behind the data—understanding how segments, products, channels, volumes, and revenue shape our operations.

Key Responsibilities:

• SQL-Based Data Engineering:
  Design, write, and optimize SQL queries to extract, transform, and load data from various sources into structured repositories for analysis and reporting.
• Dataset Analysis & Business Understanding:
  Analyze large datasets to uncover trends and relationships tied to business segments, product performance, channel activity, and revenue impact. Develop a strong understanding of the data’s business context.
• Process Documentation & Data Mapping:
  Create and maintain clear documentation of data flows, transformation logic, and business rules. Develop data dictionaries and process guides to support transparency and repeatability.
• Data Quality & Discrepancy Resolution:
  Identify and resolve inconsistencies across systems. Collaborate with business and technical teams to ensure data integrity and alignment with business definitions.
• Cross-Functional Collaboration:
  Work closely with sales, marketing, and commercialization teams to understand data needs and deliver actionable insights that support strategic decisions.

Preferred Skills:

• Proficiency in SQL  for data extraction and transformation.
• Familiarity with data visualization tools  (e.g., Power BI, Tableau).
• Strong analytical mindset and attention to detail.
• Ability to document technical processes clearly and concisely.
• Curiosity to learn the business logic behind the data.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Math, or a related field.
• 1–2 years of experience in data analysis or engineering roles preferred.

Note:  

• This position is based in Dallas, TX only  and requires full-time in-office presence .

Our Senior Data Analysis, earn between $118,800 - $78,200. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits:

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

A career with us, a global leader in communications and technology, comes with big rewards. As part of our team, you’ll lead transformation surrounded by trailblazing industry leaders like you. You’ll be empowered to go above and beyond – making a difference through company-sponsored initiatives or connecting and networking through one of our many employee groups.

And regardless of where you’re at in your career trajectory, you’ll be rewarded by the impact that comes with making a difference in the lives of millions.

With AT&T, you’ll be a part of something greater, do incredible things and be rewarded with a chance to change the world.

AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, State, and local laws.

Ready to close the deal on a career with AT&T?

Apply today.

Weekly Hours:

40

Time Type:

Regular

Location:

Dallas, Texas

Salary Range:

$118,800.00 178,200.00

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.AT&T is a fair chance employer and does not initiate a background check until an offer is made.

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.
MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

• Update training and test model databases with new or amended synthetic textual and image data.
• Modify and refine machine learning data creation, annotation, and rating guidelines.

Model Training and Evaluation:

• Initiate model training processes using internal tools and command-line interfaces.
• Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

Data Management and Annotation:

• Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
• Handle data efficiently, ensuring its integrity throughout the workflow.
• Engage in data relevance tasks, ensuring data sets are aligned with project goals.
• Annotate data accurately, ensuring it adheres to set guidelines.

Quality Assurance and Analysis:

• Conduct manual quality analysis of model results.
• Recognize error patterns and report anomalies for further investigation.
• Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
• Implement basic quality control measures and ensure the reliability of processed data.
• Utilize intermediate data analysis techniques to extract insights and inform decision-making.
• Arbitrate discrepancies effectively, ensuring consistent data quality.

Linguistic and NLP Tasks:

• Apply basic knowledge of natural language processing and linguistics to data processing tasks.
• Ensure linguistic accuracy in all processed and annotated data.

REQUIREMENTS

Preferred Qualifications:

• Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

Experience:

• Ability to work in a fast-paced, collaborative environment.
• Excellent communication skills

Skills & Knowledge:

• Familiarity with command-line tools and interfaces.
• Strong analytical skills with the ability to identify patterns and anomalies.

Additional Information:

This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.

Additional Job Details: