717 Customer Service Researcher jobs in the United States

Get AI-powered advice on this job and more exclusive features. 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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. 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 1- 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). Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Referrals increase your chances of interviewing at Capital One by 2x Get notified about new Data Analysis Manager jobs in McLean, VA . Washington, DC $153,0 0 - 216,000 2 weeks ago Washington, DC 103,500 - 115,000 2 weeks ago Analytics Insights and Targeting Director Rockville, MD 157,500 - 209,500 5 days ago Transaction Services - Data Analytics - Manager Washington, DC 116,000 - 175,000 9 hours ago Washington, DC 121,000 - 158,000 6 days ago Finance Manager, AWS Services Finance - Analytics Group Credit Card Performance Analytics Manager Development & Portfolio Strategy and Analytics Manager North Bethesda, MD 98,088 - 107,000 2 weeks ago Columbia, MD 111,748.80 - 153,654.59 1 week ago Hotel Performance Analytics Manager - Washington DC Hilton Washington, DC 80,000 - 85,000 6 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

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 - $180,800 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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. 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 1- 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). #J-18808-Ljbffr

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 year 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. #J-18808-Ljbffr

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. Plano, TX: $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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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. 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 1- 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). #J-18808-Ljbffr

Foods you love. Brands you trust. And a career that empowers you to grow.

At Nestlé USA, we’re all working towards the same goal – to delight and deliver for our consumers. With a rich portfolio of beloved brands, including DiGiorno, Toll House, and Coffee mate, in 97% of U.S. households, we have a unique opportunity – and responsibility – to be there for every moment in our consumers’ lives.

Joining Nestlé means becoming part of an inclusive workplace that inspires innovation, encourages strategic thinking and creativity, and celebrates your achievements. No matter where you work within the organization, you are empowered to challenge the status quo, embrace risk-taking, and pioneer new ideas. Our supportive and collaborative environment encourages bold ambitions and continuous learning so that everyone can grow and thrive.

This position is not eligible for Visa Sponsorship.

You will be part of a multi-disciplinary team responsible for supporting Nestle’s Field Sales organization with the design, development and management of strategic, tactical and operational analytical solutions. As part of the Business Intelligence team, you will focus on the management of the Large Format Retail Team reporting infrastructure by designing and building data models, data transfer routines, reports, dashboards and data visualizations using data management, reporting and automation tools. The solutions you implement will allow senior management and business stakeholders to analyze the performance of the Field Sales organization and its key initiatives by identifying, monitoring and predicting sales trends and outcomes. In this role, you will serve as a trusted advisor to the Large Format Retail Team and drive understanding and adoption of Enable Hub’s analytics services. You will also provide input with the Enable Hub team in the definition of the analytics and technology roadmaps.

As a Team Member in this role, you will be responsible for:

• Development of well-organized, insightful reports, dashboards, and other forms of data visualizations to support strategic, tactical and operational business decisions. Provide analysis in areas such as KPI performance against targets & goals, sales operations, forecast accuracy, segmentation, resource allocation, store compliance, merchandising, geospatial, and customer service. Ensuring that dashboards and visualizations adhere to UX best practices, design library and standards guide

• Partnering with key stakeholders to collect, document, and analyze business requirements and translating them into tangible reporting and system deliverables with a clearly defined acceptance criterion

• Identifying the data sources that that will support reporting requirements and managing integration workflows to source, transform and load data into consumable datasets for reporting and analysis

• Implementing data quality processes to ensure the integrity and accuracy of data sources and reports by leveraging automation and monitoring capabilities to proactively identify anomalies

• Assisting members of analytics team and business stakeholders with ad-hoc and self-service reporting capabilities

• Helping the Commercial Intelligence Hub and Business Intelligence leadership identify business process efficiency/improvements

• Provide training and support to end users to facilitate change management efforts and to drive adoption of report and dashboard solutions. These activities often require cross functional collaboration and the coordination of activities such as user acceptance testing, production deployments, training and post deployment support (hypercare)

• Documenting technical requirements, data catalog, business definitions, architectural diagrams, source-to-target mappings, process dependencies, flows, and decisions related to the development cycle of analytical solutions.

EXPERIENCE:

• Prior experience with an integrated data management environment

• Functional experience in CPG industry (Category experience a plus)

• Knowledge of data analysis/tools and data modeling with the ability to find and share trends from the data to make informed and objective recommendations.

• 2+ years of experience with a focus on data analytics including independent problem solving, and effective communication with peers and stakeholders at all levels.

• 2+ years of experience creating reports, dashboards, and/or summarizing large amounts of data from multiple data sources into actionable intelligence to drive business decisions

• Proven experience with data management tools like Microsoft Data Flow/Factory, Databricks, Knime, Alteryx, SSIS for data transfer and preparation

• Experience creating detailed process documentation and conducting knowledge transfer

• Experience implementing master data and data quality solutions

• Has a track record of successfully juggling multiple demands

• Experience with project management (Agile) and process improvement (Six-Sigma) is a plus

SKILLS:

• Strong knowledge on Power Bi, Power Query and Report Builder

• Working knowledge in Microsoft Power Platform; Power Apps, Power Automate

• Proven knowledge in data warehousing, data modeling and data management concepts

• End-to-end understanding of the data flow process of analytical solutions (from ingestion to consumption layer)

• Experience using SQL to query and transform data from relational data sources. Knowledge of R, Python or other statistical analysis & data mining tools is a plus

• Knowledge of Azure Data Lake is a plus

• Strong knowledge of UX design best practices to present and visualize analytics

• Familiarity with project management and agile methodology is a strong plus

• Effective communicator at all levels and using different mediums. Formal training on story telling for analytics is a plus

• Relentless problem solver who is curious and thrives in ambiguity and change

• Takes smart calculated risks and fails forward

• Thrives collaborating with others and is motivated by team success

• An assertive team player, willing to take ownership of responsibilities, and possess a high level of positive energy and drive

• Works well under pressure and has the ability to effectively handle multiple concurrent demands by prioritizing responsibilities

• Self-starter, well organized, extremely detail-oriented

77050016

It is our business imperative to remain a very inclusive workplace.

To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.

The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at or please dial 711 and provide this number to the operator: 1- .

This position is not eligible for Visa Sponsorship.

Review our applicant privacy notice before applying at

Job Requisition: 359539

Foods you love. Brands you trust. And a career that empowers you to grow.

At Nestlé USA, we’re all working towards the same goal – to delight and deliver for our consumers. With a rich portfolio of beloved brands, including DiGiorno, Toll House, and Coffee mate, in 97% of U.S. households, we have a unique opportunity – and responsibility – to be there for every moment in our consumers’ lives.

Joining Nestlé means becoming part of an inclusive workplace that inspires innovation, encourages strategic thinking and creativity, and celebrates your achievements. No matter where you work within the organization, you are empowered to challenge the status quo, embrace risk-taking, and pioneer new ideas. Our supportive and collaborative environment encourages bold ambitions and continuous learning so that everyone can grow and thrive.

This position is not eligible for Visa Sponsorship.

You will be part of a multi-disciplinary team responsible for supporting Nestle’s Field Sales organization with the design, development and management of strategic, tactical and operational analytical solutions. As part of the Business Intelligence team, you will focus on the management of the Large Format Retail Team reporting infrastructure by designing and building data models, data transfer routines, reports, dashboards and data visualizations using data management, reporting and automation tools. The solutions you implement will allow senior management and business stakeholders to analyze the performance of the Field Sales organization and its key initiatives by identifying, monitoring and predicting sales trends and outcomes. In this role, you will serve as a trusted advisor to the Large Format Retail Team and drive understanding and adoption of Enable Hub’s analytics services. You will also provide input with the Enable Hub team in the definition of the analytics and technology roadmaps.

As a Team Member in this role, you will be responsible for:

• Development of well-organized, insightful reports, dashboards, and other forms of data visualizations to support strategic, tactical and operational business decisions. Provide analysis in areas such as KPI performance against targets & goals, sales operations, forecast accuracy, segmentation, resource allocation, store compliance, merchandising, geospatial, and customer service. Ensuring that dashboards and visualizations adhere to UX best practices, design library and standards guide

• Partnering with key stakeholders to collect, document, and analyze business requirements and translating them into tangible reporting and system deliverables with a clearly defined acceptance criterion

• Identifying the data sources that that will support reporting requirements and managing integration workflows to source, transform and load data into consumable datasets for reporting and analysis

• Implementing data quality processes to ensure the integrity and accuracy of data sources and reports by leveraging automation and monitoring capabilities to proactively identify anomalies

• Assisting members of analytics team and business stakeholders with ad-hoc and self-service reporting capabilities

• Helping the Commercial Intelligence Hub and Business Intelligence leadership identify business process efficiency/improvements

• Provide training and support to end users to facilitate change management efforts and to drive adoption of report and dashboard solutions. These activities often require cross functional collaboration and the coordination of activities such as user acceptance testing, production deployments, training and post deployment support (hypercare)

• Documenting technical requirements, data catalog, business definitions, architectural diagrams, source-to-target mappings, process dependencies, flows, and decisions related to the development cycle of analytical solutions.

EXPERIENCE:

• Prior experience with an integrated data management environment

• Functional experience in CPG industry (Category experience a plus)

• Knowledge of data analysis/tools and data modeling with the ability to find and share trends from the data to make informed and objective recommendations.

• 2+ years of experience with a focus on data analytics including independent problem solving, and effective communication with peers and stakeholders at all levels.

• 2+ years of experience creating reports, dashboards, and/or summarizing large amounts of data from multiple data sources into actionable intelligence to drive business decisions

• Proven experience with data management tools like Microsoft Data Flow/Factory, Databricks, Knime, Alteryx, SSIS for data transfer and preparation

• Experience creating detailed process documentation and conducting knowledge transfer

• Experience implementing master data and data quality solutions

• Has a track record of successfully juggling multiple demands

• Experience with project management (Agile) and process improvement (Six-Sigma) is a plus

SKILLS:

• Strong knowledge on Power Bi, Power Query and Report Builder

• Working knowledge in Microsoft Power Platform; Power Apps, Power Automate

• Proven knowledge in data warehousing, data modeling and data management concepts

• End-to-end understanding of the data flow process of analytical solutions (from ingestion to consumption layer)

• Experience using SQL to query and transform data from relational data sources. Knowledge of R, Python or other statistical analysis & data mining tools is a plus

• Knowledge of Azure Data Lake is a plus

• Strong knowledge of UX design best practices to present and visualize analytics

• Familiarity with project management and agile methodology is a strong plus

• Effective communicator at all levels and using different mediums. Formal training on story telling for analytics is a plus

• Relentless problem solver who is curious and thrives in ambiguity and change

• Takes smart calculated risks and fails forward

• Thrives collaborating with others and is motivated by team success

• An assertive team player, willing to take ownership of responsibilities, and possess a high level of positive energy and drive

• Works well under pressure and has the ability to effectively handle multiple concurrent demands by prioritizing responsibilities

• Self-starter, well organized, extremely detail-oriented

77050016

It is our business imperative to remain a very inclusive workplace.

To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.

The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at or please dial 711 and provide this number to the operator: 1- .

This position is not eligible for Visa Sponsorship.

Review our applicant privacy notice before applying at

Job Requisition: 359539

Position Summary

NYU’s Stern School of Business has an exciting opportunity available for an Assistant Director, Data Analysis in the Development and Alumni Relations team (DART) within the Stern School of Business. The Assistant Director will build a broad and deep understanding of fundraising metrics to provide DART fundraisers with information that supports the management of prospects through the development cycle, and recommend processes for ensuring that the best prospects are actively managed by front-line fundraisers and direct marketing partners. In partnership with the direct marketing team, the Assistant Director will identify trends and populations to allow for prompt and proactive identification of both opportunities and deficiencies towards greater success. They will also support ongoing prospect management by implementing methods to evaluate portfolio productivity, monitoring fundraiser activity, and helping to ensure the effective and timely capture of relationship management data. They will assist with developing, managing, analyzing, and visualizing fundraising and engagement data for alumni, and perform data analysis, gather requirements, prepare functional and technical specifications, develop business intelligence solutions, and perform testing and validation.

Qualifications

Candidates will have a Bachelor’s degree and 3 years’ relevant experience of proven experience in data analysis involving large data sets, with a background in development and/or fundraising.

Additional Information

In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is USD $70,000 to $84,000 . New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses, clinical compensation, or other items.

New York University Stern School of Business ( is a welcoming community that inspires its members to embrace and lead change in a rapidly transforming world. We offer a collegial and supportive culture, and an excellent benefits package, which includes up to 100% NYU tuition waiver, generous vacation and holidays, health benefits, and flexible work policies. NYU and Stern offer access to a wide range of professional development resources, along with opportunities to build your career, relationships, and expand your network. NYU Stern, located in the heart of Greenwich Village and deeply connected with the City for which it is named, is one of the nation’s premier management education schools and research centers.

For more information about working at NYU please visit our website at: .

NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/nyugreen.

NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply at all levels.

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Posting Number2025-14710

Posted Date1 month ago(5/15/2025 9:35 AM)

Location : LocationUS-NY-New York

Hybrid Remote Work ClassificationHybrid: 60% to 80% Onsite

DepartmentDevelopment and Alumni Relations: Operations

School/DivisionStern School of Business (SB1071)

Compensation GradeBand 52

UnionN/A

FT/PTFull-Time

CategoryBusiness/Professional Administrative

Join to apply for the Sr. Data Analysis Manager role at Capital One 2 days ago Be among the first 25 applicants Join to apply for the Sr. Data Analysis Manager role at Capital One Get AI-powered advice on this job and more exclusive features. 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 Senior Manager, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential. On a given day you will be: Refining a new Enterprise-wide analytical tools validation framework Planning and executing validation projects Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes Understanding technical issues in analytical tools and assessing tools risks and opportunities Independently researching, identifying, and prototyping industry best practices for emerging analytical tools Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations Leveraging education, colleagues and training opportunities to develop solutions to business problems Coaching and mentoring junior staff An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. 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. 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 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. At least 5 years of experience performing professional data analysis work At least 5 years of experience leading and developing with open source data technologies At least 2 years of experience managing people Preferred Qualifications: Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field At least 7 years of experience in statistical or econometrics hands-on work At least 5 years of experience manipulating and performing analysis with large data sets At least 5 years of experience in financial services industry At least 5 years of experience in developing statistical or econometric models At least 5 years of experience in validating statistical or econometric models At least 2 years of experience with data governance At least 2 years of experience with predictive analytics 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: $193,000 - $20,300 for Sr. Data Analysis Manager Richmond, VA: 175,500 - 200,300 for Sr. 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 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. 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 1- 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). Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Referrals increase your chances of interviewing at Capital One by 2x Sign in to set job alerts for “Data Analysis Manager” roles. 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