Education: Bachelor's Degree in Information Systems, Computer Science, Data Science Analytics, Business Analytics or equivalent experience required. Experience Level : <ul><li>5 years min. for Leadership and at least 7 years working with Enterprise data analytics.</li><li>Must come from a Healthcare background</li><li>Our role is Manager Enterprise Analytics focused on Data Engineering.</li></ul> Technical Skills required :<ul><li>Experience in Visualization tools – Tableau (preferred), Spotfire, Sisense, Qlik or Microsoft Power BI.</li><li>Data Visualization Server Administration tools – Tableau Core and Data Management Server</li><li>Data tools – Tableau Prep, Hadoop, Alteryx, Paxata, Trifacta, Altair, Talend</li><li>Statistical tools – R, SAS, SPSS, Matlab, Minitab</li><li>Data Science tools – R, Python, SAS, dataiku, DataRobot, Cnvrg, Anaconda.</li></ul> Responsibilities :<ul><li>Excellent communication and written skills are a MUST!</li><li>Manage the strategic initiatives of the department aligning to the organizational goals of the system</li><li>Support, motivate and manage the people and processes responsible for accurate and optimal data collection, data processing, data modeling, data analysis and insights to drive value.</li><li>Ensure the transparency of communication by leading or participating in department meetings and leadership meetings; and interlocking with cross functional teams and key stakeholders.</li><li>Manage the department’s resource needs and promote the professional growth of the team by implementing and tracking to individual performance goals, department goals, and development plans.</li><li>Oversee the data/report request process using a unified review of all incoming analytics requests for alignment, tracking requests submitted, prioritization, approval, and individual assignment by strategically managing resources, timelines, expectations and deliverables.</li></ul>

Job description — The Data Analytics (DA) Audit Team is a newly created team within the Audit Services Department. This highly visible position will be responsible for developing the plan to implement the Audit Services’ data analytics strategy. The DA Audit Team will be a centralized unit within Audit Services with a physical presence in Chicago and India and supports the global Audit Services Department. The DA Audit Team Manager will oversee the development of the function with a focus on hiring highly talented individuals; collaborating with Audit Services Leadership to increase utilization and conduct impactful analytics supporting testing, risk assessments, and other reporting; and engaging with the corporate Data Analytics Team to leverage their experience, tools, and knowledge. The DA Audit Team Manager will also ensure the acquisition, development, and retention of diverse talent, leveraging innovative strategies to attract and retain top talent and build a high-performing team. The DA Audit Team Manager will also conduct the performance management process, identify training and development needs, and establish performance standards for the function.Key Responsibilities<ol><li>Enhances and implements the analytics strategy for the Audit Services Department</li><li>Establishes protocols to work with the business and Audit Services Team to obtain accurate, meaningful information to support the completion of the audit work</li><li>Frames output from the analytics performed to bring new insightful opportunities to support the audit process, using various analytical tools and visualization techniques</li><li>Fosters a culture of deep learning of the business to build credibility and improved analytics</li><li>Displays a balanced, cross-functional perspective, liaising with the audit teams to improve efficiency, effectiveness, and productivity of testing/assessment</li><li>Makes recommendations to evolve the Audit Services’ methodology to embed DA specific steps, expectations, and protocols around DA</li><li>Promotes the utilization of DA in all aspects of the audit process; and supports the Audit Services’ Department initiatives to strengthen DA capabilities across all staff</li><li>Leads in the development of meaningful analytics to measure the utilization and impact of the DA Team across Audit Services</li><li>Collaborates with the corporate Analytics Team to stay apprised of their initiatives, tools, and challenges</li><li>Engages with industry practitioners regularly to learn about best practices, and gain insightful competitive and regulatory intelligence to help build excellence in our analytics initiatives</li><li>Completes various and complex initiatives involving multiple disciplines and/or ambiguous issues to develop testing and/or tools to assess risk</li></ol><h3>Qualifications:</h3>Requirements<ol><li>Strong analytical, leadership, and organizational skills</li><li>A college or university degree, and strong analytics background (statistics, math) required</li><li>Advanced education in a quantitative field is preferred</li><li>Experience with extract, transfer load (ETL) processes, SQL, data models, data visualization</li><li>Experience using statistical software or knowledge of various data mining and analytical tools (e.g., SSRS, SAS)</li><li>Familiarity with other analytics tools (e.g., Microsoft Business Intelligence Suite, QlikView)</li></ol>Skills and Experience<ol><li>Financial services internal audit subject matter expertise</li><li>Experience establishing strategy and gaining stakeholder alignment</li><li>Ability to communicate and train a non-technical audience technical concepts</li><li>Team player, able to manage/lead work across functions</li><li>Excellent oral and written communication skills</li><li>High degree of learning agility</li><li>Prior management experience</li><li>Ability to work in a fast pace, dynamic, global environment with limited direction</li><li>Strong execution skills</li></ol>
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Locations: VA - McLean, United States of America, McLean, Virginia
Senior Data Analytics Manager - Card  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.
Our credit card business is powered by data and analytics and a passion to help use credit wisely. Our credit card products serve more than 87 million customers with 20+ personal and business card offerings with a reputable brand offering some of the best cash-back, rewards, and travel benefits for consumers and small business owners. We have advanced proprietary technology for pricing, risk management, and collections. Our card applications help us to serve our customers real-time bringing humanity and simplicity to banking.
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 plus at least 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a PhD plus at least 2 years of experience in data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

At least 5 years of experience with professional data analysis work experience

At least 2 years leading and developing with open source data technologies

At least 2 years of experience in people management

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.
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 1-800-304-9102 or via email at    RecruitingAccommodation@capitalone.com   . 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     Careers@capitalone.com
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).

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Locations: VA - McLean, United States of America, McLean, Virginia Senior Data Analytics Manager - Card 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. Our credit card business is powered by data and analytics and a passion to help use credit wisely. Our credit card products serve more than 87 million customers with 20 personal and business card offerings with a reputable brand offering some of the best cash-back, rewards, and travel benefits for consumers and small business owners. We have advanced proprietary technology for pricing, risk management, and collections. Our card applications help us to serve our customers real-time bringing humanity and simplicity to banking. 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 plus at least 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a PhD plus at least 2 years of experience in data analytics with an expectation that required degree will be obtained on or before the scheduled start date. At least 5 years of experience with professional data analysis work experience At least 2 years leading and developing with open source data technologies At least 2 years of experience in people management 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. 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 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 1-800-304-9102 or via email at RecruitingAccommodationcapitalone.com. 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 Careerscapitalone.com 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).

Locations: VA - McLean, United States of America, McLean, Virginia
Senior Data Analytics Manager - Card At Capital One, data is at the center of everything we do. Our credit card business is powered by data and analytics and a passion to help use credit wisely. As a Senior Manager, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools.
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
Understanding technical issues in analytical tools
Independently researching industry best practices for emerging analytical tools
Communicating results clearly and concisely
Leveraging education and training opportunities to develop solutions
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.
Basic Qualifications: Currently has, or is in the process of obtaining a Bachelor's Degree plus at least 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a PhD plus at least 2 years of experience in data analytics.
At least 5 years of experience with professional data analysis work experience
At least 2 years leading and developing with open source data technologies
At least 2 years of experience in people management
Preferred Qualifications: Master’s Degree or PhD in 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.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
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.

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OverviewThe Consumer Marketing Team is leading marketing transformation at Microsoft. Artificial Intelligence (AI) is fundamentally changing how people relate to and benefit from technology and putting renewed energy around data and its importance to our marketing transformation. This Senior Data Analytics Manager will oversee the completion of the data roadmap for our consumer marketing data platform, including segmentation, conversion, and reporting data. The role involves collaboration with campaign and customer journey analysts, data source owners, privacy experts, Corporate, External, and Legal Affairs (CELA), the marketing platform team, and the data engineering team to execute various projects. Microsoft's mission is to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing growth mindset, inspiring excellence, and empowering teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of people around the world. By applying to this U.S. based position, relocation does not apply/is not provided for the role.
ResponsibilitiesDeliver data projects to grow, optimize and achieve the data roadmap for the Consumer Growth Engine team including project management, problem solving and data design and architecting.Manage data requests (segments or conversions) from marketers by prioritizing and refining them, aiding data project managers (PMs) in tracking progress, and working with Privacy, CELA, data owners, and the data engineering teams to facilitate data sharing to target channel platforms.Advocating for and understanding compliance regulations related to data handling (including Digital Marketing Act (DMA), General Data Protection Regulation (GDPR), while taking action to mitigate their impact.Collaborating with the CGE Platform team and associated parties on implementing new tools to support data and analytics efforts.Coordinate data science projects leveraging data from our data lake to support marketing in collaboration with partner data science teams on methodologies. Develops depth of understanding of the business, its data landscape, and the lineage of those data across multiple areas to leverages appropriate sources of data to address specific business needs.Recommends efficiency improvements for core work related to analytics and reporting that are reusable, self-service, and directed to meaningful interpretation of data and driving business decisions.Shares and simplifies relevant findings and insights to tell stories of analyses through one or more means.Embody our culture and values

Locations: VA - McLean, United States of America, McLean, Virginia
Senior Data Analytics Manager - Card  At Capital One, data is at the center of everything we do. Our credit card business is powered by data and analytics and a passion to help use credit wisely. As a Senior Manager, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools.
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
Understanding technical issues in analytical tools
Independently researching industry best practices for emerging analytical tools
Communicating results clearly and concisely
Leveraging education and training opportunities to develop solutions
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.
Basic Qualifications:   Currently has, or is in the process of obtaining a Bachelor's Degree plus at least 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a PhD plus at least 2 years of experience in data analytics.
At least 5 years of experience with professional data analysis work experience
At least 2 years leading and developing with open source data technologies
At least 2 years of experience in people management
Preferred Qualifications:   Master’s Degree or PhD in 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.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
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.

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