Customer Service Representative

About The Company

Capital One is a leading financial services company renowned for its innovative use of data and technology to deliver personalized banking solutions. Established as a startup in 1988, the company revolutionized the credit card industry by leveraging statistical modeling and relational databases to customize credit card offers. Over the years, Capital One has grown into a Fortune 200 company, recognized for its commitment to data-driven decision-making and technological innovation. With a culture centered around continuous improvement, diversity, and inclusion, Capital One strives to provide exceptional financial products and services to its customers while fostering a dynamic and inclusive workplace environment.

About The Role

The Senior Data Analyst at Capital One plays a pivotal role in transforming complex data into actionable insights that drive strategic business decisions. This remote position involves leveraging advanced analytic and technical skills to develop, maintain, and optimize data solutions across various domains. The role encompasses three core areas of focus: Innovation, Business Intelligence, and Data Management.

In the Innovation domain, the analyst will utilize open-source and digital technologies to mine diverse and voluminous data sources, building scalable data solutions and tools that enable self-service capabilities for data consumers. The candidate will demonstrate agility in exploring new technologies to support various initiatives. In Business Intelligence, the analyst partners with business units to translate needs into effective dashboards, metrics, and visualization tools that provide meaningful insights to inform business strategies. In Data Management, the focus is on ensuring data quality, security, and governance by collaborating with technical teams to implement best practices, monitor data health, and uphold data definitions and lineage.

This role requires a proactive individual with a strong quantitative background, excellent problem-solving skills, and the ability to work collaboratively in a fast-paced environment. The ideal candidate will have a passion for data, a desire to innovate, and a commitment to maintaining high standards of data integrity and security.

Qualifications

Degree in a Science, Technology, Engineering, Mathematics (STEM) discipline such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science.Currently pursuing or possessing a Master’s Degree in a relevant quantitative field, with an expectation of completion by the start date.Minimum of 2 years of experience in data analytics or related roles.At least 1 year of experience working with scripting languages such as Python, R, Spark, or SQL.Experience utilizing business intelligence and data visualization tools.Proficiency in querying, analyzing, and working with data platforms and languages.Experience with data warehouses, unstructured data, and cloud services like Snowflake and AWS is preferred.Knowledge of data governance, data quality management, metadata, and lineage concepts.Experience working with process improvement methodologies such as Agile, Lean, or Six Sigma is a plus.

Responsibilities

Leverage open-source and digital technologies to mine and analyze complex data sources, supporting innovative data solutions.Design, develop, and maintain scalable data tools, dashboards, and self-service frameworks for data consumers.Partner with business teams to understand their needs and translate them into technical solutions, including metrics, visualizations, and reports.Drive analysis to generate insights that influence business strategies and operational efficiencies.Ensure adherence to data quality standards by implementing metadata management, data lineage, and governance practices.Collaborate with technical teams to manage data security, access controls, and compliance requirements.Build and utilize tools to monitor data quality, report on data health, and support data governance initiatives.Explore and quickly adapt to new technologies to support varied initiatives and improve existing data processes.Participate in process management and continuous improvement efforts to optimize data workflows and methodologies.

Benefits

Competitive salary aligned with experience and location.Comprehensive health, dental, and vision insurance plans.Financial wellness programs and retirement savings options.Paid time off, holidays, and flexible work arrangements.Opportunities for professional development and continuous learning.Inclusive and diverse workplace culture fostering innovation and growth.Performance-based incentives and long-term compensation plans.

Equal Opportunity

Capital One is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected class under applicable law. We welcome applications from qualified individuals of all backgrounds and are dedicated to providing accommodations for candidates with disabilities throughout the recruitment process. Capital One promotes a drug-free workplace and complies with all applicable laws and regulations regarding employment and non-discrimination.