Lead Data Analyst

Principal Data Analyst - Business Cards & Payments - Field Strategy Location: Mclean, Virginia, United States Industry: Financial Services Work Setting: Onsite Are you passionate about transforming data into meaningful insights and building scalable analytics solutions that drive business decisions?

We are seeking a Data Analyst who thrives at the intersection of analytics, technology, and business strategy, leveraging data to solve complex problems, improve decision-making, and enable innovation across the organization.

Innovation & Data Solutions

Develop and maintain scalable data solutions, tools, and analytical capabilities that support business objectives. Leverage modern analytics technologies and open-source tools to analyze large, complex, and diverse datasets. Design and implement self-service data frameworks that empower business users and data consumers.

Explore emerging technologies and identify opportunities to enhance data capabilities and operational efficiency. Build automated processes and reusable data assets that improve accessibility and usability of enterprise data.

Business Intelligence & Analytics

Partner with stakeholders to understand business challenges and translate requirements into data-driven solutions. Design and develop dashboards, reports, scorecards, and visualization tools that provide actionable insights. Perform in-depth analysis to identify trends, opportunities, risks, and strategic recommendations.

Communicate analytical findings effectively to both technical and non-technical audiences. Support business decision-making through data storytelling and insight generation. Data Management & Governance Promote and support data governance standards, including metadata management, data lineage, and business definitions.

Collaborate with technology teams to ensure data security, access management, and compliance with governance policies. Develop and maintain data quality monitoring processes and reporting mechanisms. Identify and resolve data integrity issues while improving consistency and reliability across data assets.

Support enterprise initiatives focused on data management, governance, and operational excellence.

Required Qualifications

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Analytics, Economics, Operations Research, Engineering, or a related quantitative discipline.
• Experience performing data analysis and delivering business insights in a professional environment.
• Strong experience working with large datasets and data analysis tools.
• Experience developing reports, dashboards, and data visualizations.
• Proficiency in querying and analyzing data using SQL and related platforms.
• Preferred Skills Strong programming experience with Python, R, Spark, SQL, or similar analytical technologies.
• Experience working with cloud-based data platforms and services.
• Knowledge of data warehousing, structured and unstructured data environments.
• Experience with business intelligence and visualization tools such as Power BI, Tableau, or similar platforms.
• Understanding of data governance, metadata management, and data quality principles.
• Familiarity with Agile, Lean, Six Sigma, or other continuous improvement methodologies.
• Strong analytical, critical-thinking, and problem-solving skills.
• Experience designing automated reporting and monitoring solutions.
• Ability to work with cross-functional teams to translate business needs into technical solutions.

What You'll Bring

• A passion for leveraging data to solve business challenges.
• Strong curiosity and willingness to learn new technologies and analytical techniques.
• Excellent communication skills with the ability to present complex findings clearly.
• A detail-oriented approach to ensuring data accuracy and quality.
• The ability to balance technical expertise with business understanding.
• A collaborative mindset and commitment to driving data-informed decision-making.
• Nice to Have Experience working with cloud platforms and modern data ecosystems.
• Exposure to financial services, banking, or highly regulated industries.
• Experience implementing data quality and governance frameworks.
• Advanced knowledge of machine learning, predictive analytics, or statistical modeling techniques.
• Experience building scalable analytical solutions that support enterprise-wide decision-making.