Senior Data Analyst - US Card
📍 Location: McLean | Richmond, Virginia, United States (Hybrid)
🏢 Industry: Financial Services
💼 Work Setting: Hybrid
Are you passionate about transforming data into meaningful insights that drive business decisions and innovation? Join a data-driven environment where you will leverage analytical, technical, and problem-solving skills to develop impactful data solutions, enhance business intelligence capabilities, and ensure effective data management practices.
Key Responsibilities
Innovation & Data Solutions
Utilize modern analytics, open-source technologies, and digital tools to analyze complex and diverse datasets.
Design, develop, and maintain scalable data solutions, tools, and self-service capabilities for business users.
Explore and adopt emerging technologies to support evolving business and analytics initiatives.
Create efficient frameworks that enable data accessibility, usability, and operational excellence.
Business Intelligence & Analytics
Partner with stakeholders to understand business challenges and translate requirements into actionable analytical solutions.
Develop dashboards, reports, metrics, and visualization tools that support data-driven decision-making.
Conduct in-depth analysis to uncover trends, opportunities, and strategic insights.
Present findings and recommendations in a clear and impactful manner to support business objectives.
Data Management & Governance
Promote and maintain strong data quality standards, including metadata management, data lineage, and business definitions.
Collaborate with technology and governance teams to ensure secure data access and compliance with organizational policies.
Develop and maintain processes and tools for monitoring, measuring, and reporting data quality.
Support data governance initiatives to improve data reliability, transparency, and consistency across the organization.
Required Skills & Qualifications
Bachelor's degree in a STEM field such as Computer Science, Data Science, Mathematics, Statistics, Engineering, Analytics, or a related discipline.
Experience working with data analytics, reporting, and business intelligence solutions.
Proficiency in at least one scripting or programming language such as Python, R, Spark, or SQL.
Strong understanding of structured and unstructured data environments, including data warehouse concepts.
Experience querying, manipulating, and analyzing large datasets.
Hands-on experience with business intelligence and data visualization tools.
Ability to quickly learn new technologies and adapt to changing business requirements.
Strong analytical, communication, and problem-solving skills.
Preferred Qualifications
Master's degree in a quantitative or technology-related discipline.
Advanced experience with Python, R, Spark, SQL, or related data technologies.
Experience working within Agile, Lean, Six Sigma, or similar process improvement frameworks.
Familiarity with cloud-based data and analytics platforms.
Experience developing and managing solutions within modern data warehouse environments.
Knowledge of data governance, data quality management, metadata management, and related best practices.
Experience implementing data quality monitoring and validation processes.
Understanding of cloud services and data engineering concepts.

Senior Data Analyst

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