226 Google Analytics jobs in the United States

Overview

Join to apply for the Software Engineer III, Front End, Google Analytics role at Google

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with front-end frameworks, full-stack development, or API development.
• 2 years of experience in development with front-end programming languages such as JavaScript.

• Master's degree or PhD in Computer Science or related technical field.
• 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
• 2 years of experience with data structures or algorithms in either an academic or industry setting.
• Experience in code and system health, diagnosis and resolution, and software test engineering.
• Experience developing accessible technologies.

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Information Technology and Engineering
• Industries: Information Services and Technology, Information and Internet

Referrals increase your chances of interviewing at Google by 2x

Get notified about new Software Engineer jobs in Mountain View, CA.

Software Engineer III, Front End, Google Analytics

Location: Mountain View, CA, USA

Apply

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with front-end frameworks, full-stack development, or API development.

• Master's degree or PhD in Computer Science or related technical field.
• 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
• 2 years of experience with data structures or algorithms in either an academic or industry setting.
• Experience in code and system health, diagnosis and resolution, and software test engineering.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Solutions Architect with Google Tag Analytics and GA4GTM solutions

2 days ago Be among the first 25 applicants

Responsibilities

• Solution architecture level experience is a must
• Architecture Tradeoff Analytics Method, Capacity Planning, Compliance Evaluation

Required Skills Experience

• 8 years in web development analytics engineering or tagging architecture roles
• Expertlevel GA4 and GTM clientside and serverside implementation experience
• Proven experience with Git/GitHub workflows and CICD pipelines
• Advanced debugging skills Chrome DevTools Omnibug Observe Point network inspection
• Transcend OneTrust
• Practical use of GA4 Measurement Protocol and Admin API for automation at scale

Preferred Skills

• Experience with multibrand or multiregion analytics infrastructures
• Familiarity with the music media or entertainment industry

• Director

• Contract

• Information Technology

• Software Development

Product Manager II, Databases and Analytics, Google Cloud

Join to apply for the Product Manager II, Databases and Analytics, Google Cloud role at Google.

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. Google Cloud accelerates every organization’s ability to digitally transform its business and industry, delivering enterprise-grade solutions that leverage cutting-edge technology.

• Work with partner teams (e.g., engineers, PgMs, UX) during product design and development to implement the requirements to turn PRDs into OKRs for one or more teams.
• Define product roadmaps by operationalizing strategy.
• Develop and secure buy-in for a product vision that identifies, defines, and supports the overall product narrative and direction, achieving an outcome that is greater than the sum of its parts.
• Validate the market size and opportunity (e.g., user-based, strategic opportunity, revenue).
• Drive launches, maintenance, and retirement in collaboration with other cross-functional teams and stakeholders.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or related technical role.
• 2 years of experience developing or launching products or technologies within databases, analytics, big data, or a related area.

Preferred qualifications:

• Master's degree in a technology or business related field.
• 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
• 3 years of experience in a role preparing and delivering technical presentations to senior leadership.
• 2 years of experience in software development or engineering.
• 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
• 1 year of experience in technical leadership.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Individual pay within the range is determined by work location and factors such as role, experience, and training. Your recruiter can share the specific range for your location during hiring. Compensation details reflect base salary only and do not include bonus, equity, or benefits.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology to help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve critical problems.

Google is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Referrals increase your chances of interviewing at Google. Get notified about new Product Manager jobs in Kirkland, WA. Information about location-based postings and market data is provided for context.

Overview

Manager, SAS Programmer- Revenue Growth Analytics, Research & Tools (Chicago)

Join to apply for the Manager, SAS Programmer- Revenue Growth Analytics, Research & Tools (Chicago) role at McDonald's.

McDonald’s is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily. We continue to operate from a position of strength. Our updated growth strategy is focused on staying ahead of what our customers want and realizing further growth potential. Our relentless ambition is why McDonald’s remains one of the world’s leading corporations after almost 70 years. Joining McDonald's means thinking big and preparing for a career that can have influence around the world.

At McDonald’s, we see every day as a chance to create positive impact. We lead through our values centered on inclusivity, service, integrity, community and family. From support of Ronald McDonald House Charities to our Youth Opportunity project and sustainability initiatives, our values keep us dedicated to using our scale for good: good for our customers, people, industry and planet. We also offer a broad range of outstanding benefits including a sabbatical program, tuition assistance and flexible work arrangements.

The Revenue Growth Management (RGM) team at McDonald’s drives data-led strategies to optimize pricing, enhance customer value, and support global growth. Within RGM, the Pricing Science Operations team develops advanced analytics tools like the Price Engine to enable dynamic, data-driven pricing decisions across markets.

The Manager, SAS Programmer will play a key role in building and scaling these tools, ensuring analytical accuracy and partnering with global teams to deliver impactful, business-focused solutions.

• Develop reports and KPIs for the development and launch of the Price Engine in global markets.
• Serve as a technical and data expert resource, supporting pricing analysis, insights, and data.
• Partner with global teams (e.g., GCE, Products) to ensure the solution meets business needs and incorporates consumer feedback when available.
• Program the framework and prototype solution, including user interaction design, KPI measurement, and a business case for the Price Engine.
• Define and operationalize the approach to measure performance, troubleshoot issues, and ensure the accuracy of engine outputs.

• Master's degree in Statistics, Mathematics, Economics, Data Science, Decision Science, or a related field.
• Prior experience developing and executing pricing capabilities in a fast-paced global environment leveraging SAS and hosted environments; Python experience is a plus.
• Strong analytical and strategic skills, with the ability to synthesize marketing and pricing information to draw insights and actionable recommendations.
• Experience with product development and management is preferred.
• Ability to find and implement simple solutions to complex problems and drive process efficiency.
• Strategic thinking.
• Stakeholder and vendor management skills.

Bonus Eligible: YES

Long - Term Incentive: YES

Benefits Eligible: YES

The expected salary range for this role is: $129,800 - $165,490

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors.

Benefits: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment.

Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.

Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald’s long-term incentive plan.

McDonald’s is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald’s provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact Reasonable accommodations will be determined on a case-by-case basis.

McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Nothing in this job posting or description should be construed as an offer or guarantee of employment.

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role in the Life Sciences.
• Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.

• Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
• Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.
• Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
• Experience with aspects of cloud computing (e.g., infrastructure, storage, platforms and data), as well as the cloud market, dynamics and customer buying behavior.
• Experience in understanding customer requirements with the ability to break down requirements and design technical architectures.

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer, you will partner with technical business teams as a data analytics subject matter expert to differentiate Google Cloud to our Healthcare and Life Sciences (HCLS) customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business tests, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data life-cycle. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.

In this role, you will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $125,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Work with the team to identify and qualify business opportunities related to aspects of the data life-cycle, understand key customer objections, and develop the strategy to resolve technical blockers.
• Share in-depth data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
• Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Prepare and deliver business messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and RFI responses.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role in the Life Sciences.
• Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.

• Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
• Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.
• Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
• Experience with aspects of cloud computing (e.g., infrastructure, storage, platforms and data), as well as the cloud market, dynamics and customer buying behavior.
• Experience in understanding customer requirements with the ability to break down requirements and design technical architectures.

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer, you will partner with technical business teams as a data analytics subject matter expert to differentiate Google Cloud to our Healthcare and Life Sciences (HCLS) customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business tests, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data life-cycle. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.

In this role, you will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $125,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Work with the team to identify and qualify business opportunities related to aspects of the data life-cycle, understand key customer objections, and develop the strategy to resolve technical blockers.
• Share in-depth data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
• Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Prepare and deliver business messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and RFI responses.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

• 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

At Capital One, data is at the center of everything we do. We revolutionized the credit card industry in 1988 by personalizing offers through statistical modeling and relational databases. Our passion for data has propelled us to become a Fortune 200 company and a leader in data-driven decision-making.

• Drive strategy using your analytical skills
• Build and validate data models
• Work with large, evolving datasets
• Expand our brand in new markets
• Create exceptional customer experiences through analytics
• Lead and mentor junior analysts
• Manage the full project lifecycle
• Collaborate across business units
• Work in a fast-paced, entrepreneurial environment with top talent
• Maintain work-life balance with minimal travel

• Mine data for organizational insights
• Improve processes, data, and reports
• Handle large databases with billions of records
• Enhance operational efficiency
• Evaluate processes and tests
• Analyze data to assess products
• Design and implement new systems
• Develop strategic product and marketing tests

The ideal candidate will be at the forefront of analytics technology, with strong problem-solving, communication, interpersonal, and leadership skills. This role requires managing multiple projects independently and collaboratively, with a strong Business Intelligence component. BI experience is highly encouraged.

• Currently pursuing or have completed a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science) with at least 6 years of data analytics experience, or a Master's Degree with at least 4 years of experience, expected to be obtained by start date.
• Minimum 4 years of professional data analysis experience
• Minimum 4 years of programming experience

• Master's in STEM disciplines
• 7+ years of professional data analysis experience
• Experience with Python, R, Spark, or SQL
• 1+ year in people management
• 1+ year project management experience
• Experience with Tableau
• Proficiency with AWS services

Capital One considers sponsoring qualified applicants for employment authorization.