Senior Data Analyst - Software (Remote)
Capital One
Senior Data Analyst - Software (Remote)
Job Description
Overview
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.On any given day you will be challenged by three types of work – Innovation, Business Intelligence and Data Management:InnovationUse Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
Drive analysis that provides meaningful insights on business strategies
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
Build and execute tools to monitor and report on data quality
Degree specialized in a Science, Technology, Engineering, Mathematics discipline
Scripting experience in (Python, R, Spark, and SQL)
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
Experience utilizing and developing within Snowflake services
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 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree with an expectation that required degree will be obtained on or before the scheduled start date.
At least 1 year of experience working with at least one scripting language
At least 1 year of experience utilizing business intelligence visualization tool
At least 1 year of experience querying, analyzing and working with data languages and platforms
Preferred Qualifications:
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
At least 2 years of experience coding in Python, R, Spark, or SQL
At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
At least 1 year of experience utilizing and developing within AWS services
At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)
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.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.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.comCapital 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
- Remote, USA, United States (Remote)
- McLean, Virginia, United States (Remote)
- McLean, VirginiaRemote, USA (Remote)
Salary
50,000 - 85,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data Analyticsintermediate
- Python, R, Spark, SQLintermediate
- Business Intelligence Visualizationintermediate
- Data Quality Managementintermediate
- Snowflake Servicesintermediate
- AWS Servicesintermediate
Required Qualifications
- Bachelor’s Degree in quantitative field plus at least 2 years of experience performing data analytics, or Master’s Degree (experience)
- At least 1 year of experience working with at least one scripting language (experience)
- At least 1 year of experience utilizing business intelligence visualization tool (experience)
- At least 1 year of experience querying, analyzing and working with data languages and platforms (experience)
- Master’s Degree in STEM discipline (preferred) (experience)
- At least 2 years of experience coding in Python, R, Spark, or SQL (preferred) (experience)
Responsibilities
- Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
- Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
- Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards
- Drive analysis that provides meaningful insights on business strategies
- Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
- Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Senior Data Analyst - Software (Remote) @ Capital One.
Related Books and Jobs
Senior Data Analyst - Software (Remote)
Capital One
Senior Data Analyst - Software (Remote)
Job Description
Overview
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.On any given day you will be challenged by three types of work – Innovation, Business Intelligence and Data Management:InnovationUse Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
Drive analysis that provides meaningful insights on business strategies
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
Build and execute tools to monitor and report on data quality
Degree specialized in a Science, Technology, Engineering, Mathematics discipline
Scripting experience in (Python, R, Spark, and SQL)
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
Experience utilizing and developing within Snowflake services
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 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree with an expectation that required degree will be obtained on or before the scheduled start date.
At least 1 year of experience working with at least one scripting language
At least 1 year of experience utilizing business intelligence visualization tool
At least 1 year of experience querying, analyzing and working with data languages and platforms
Preferred Qualifications:
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
At least 2 years of experience coding in Python, R, Spark, or SQL
At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
At least 1 year of experience utilizing and developing within AWS services
At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)
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.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.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.comCapital 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
- Remote, USA, United States (Remote)
- McLean, Virginia, United States (Remote)
- McLean, VirginiaRemote, USA (Remote)
Salary
50,000 - 85,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data Analyticsintermediate
- Python, R, Spark, SQLintermediate
- Business Intelligence Visualizationintermediate
- Data Quality Managementintermediate
- Snowflake Servicesintermediate
- AWS Servicesintermediate
Required Qualifications
- Bachelor’s Degree in quantitative field plus at least 2 years of experience performing data analytics, or Master’s Degree (experience)
- At least 1 year of experience working with at least one scripting language (experience)
- At least 1 year of experience utilizing business intelligence visualization tool (experience)
- At least 1 year of experience querying, analyzing and working with data languages and platforms (experience)
- Master’s Degree in STEM discipline (preferred) (experience)
- At least 2 years of experience coding in Python, R, Spark, or SQL (preferred) (experience)
Responsibilities
- Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
- Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
- Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards
- Drive analysis that provides meaningful insights on business strategies
- Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
- Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Senior Data Analyst - Software (Remote) @ Capital One.
Related Books and Jobs