Cyber Data Visualization and Metrics Part Time

Cyber Data Visualization and Metrics

We are looking for a savvy data visualization and metrics professional to join our growing team of analytics experts. You should be proficient in using Tableau and other BI tools to create new and update existing reports. You should have experience with traditional and modern technologies such as: Databricks, Python, REST API, relational databases, Snowflake, Git, Shell scripting, and AWS.

In this role, you will be responsible for creating, maintaining, and optimizing our data delivery and extraction from multiple data sources into our data warehouse. You may be asked to assist in the creating, enhancing, and optimizing Tableau visualizations that are used by our business customers and internal leaders.

Responsibilities Of The Role Include

• Build data pipeline frameworks to automate high-volume and real-time data delivery to our cloud platform
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
• Develop and enhance applications using a modern technology stack such as Python, Shell Scripting, Snowflake, Lambda, and Databricks
• Generate data science patterns and machine learning models to drive delivery of discovery insights to customers
• Utilize reporting tools, such as Tableau, to build and maintain dashboards used by internal leadership teams
• Articulate operations, compliance, and cybersecurity objectives for business leadership to inform prioritized risk reduction
• Determine the status of Cyber programs by applying the use of advanced metrics calculations in machine learning models
• Effectively communicate the impact of operations, compliance, and cybersecurity gaps to multiple audiences, encouraging remediation activities to enhance their cybersecurity posture
• Support activities in response to large-scale enterprise data collection and visualization efforts by using advanced coding and data science methodologies

Basic Qualifications

• High School Diploma, GED, or equivalent certification
• At least 4 years of experience using database management tools (SQL)
• At least 3 years of experience using relational database systems
• At least 3 years of experience scripting in Python and interacting with APIs
• At least 1 year of experience with AWS including development of Lambda functions

Preferred Qualifications

• Bachelor’s Degree
• 4+ years of Data engineering experience
• 1+ years of experience creating Tableau visualizations
• 2+ years of experience building data pipelines and using ETL tools
• 2+ years of experience creating automated solutions
• 2+ years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry

At this time, Capital One will not sponsor a new 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 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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