Principal Associate, Data Analyst - Enterprise Risk

• Principal Associate, Data Analyst - Enterprise Risk
• Location: Plano, Texas, United States (Onsite)
• Industry: Financial Services
• Work Setting: Onsite

Are you passionate about transforming data into actionable insights, building scalable analytics solutions, and driving business decisions through data? We are seeking a Data Analyst to leverage analytical, technical, and problem-solving skills to develop innovative data solutions, deliver meaningful business intelligence, and ensure high standards of data quality and governance. This role offers the opportunity to work with modern cloud technologies, large-scale datasets, and cross-functional teams to support strategic business initiatives.

• Key Responsibilities
• Data Analytics & Innovation
• Analyze complex, structured, and unstructured datasets to uncover trends, opportunities, and business insights.
• Develop and maintain scalable data solutions, analytical tools, and self-service reporting capabilities.
• Explore and adopt emerging technologies to enhance data processing, analysis, and reporting efficiency.
• Utilize open-source and cloud-based technologies to support advanced analytics initiatives.
• Support the development of innovative approaches to solve complex business challenges through data.
• Business Intelligence & Reporting
• Partner with business stakeholders to understand requirements and translate them into analytical solutions.
• Design, develop, and maintain dashboards, reports, metrics, and visualizations that drive informed decision-making.
• Deliver actionable insights that support business strategy, performance measurement, and operational improvements.
• Present analytical findings and recommendations to technical and non-technical audiences.
• Collaborate with cross-functional teams to identify opportunities for business growth and optimization.
• Data Management & Governance
• Promote and support data quality, governance, metadata management, and data lineage practices.
• Develop monitoring tools and controls to measure and improve data integrity and quality.
• Collaborate with technology teams to ensure secure data access, compliance, and governance standards.
• Maintain data definitions, documentation, and best practices across analytical environments.
• Support enterprise data management initiatives and continuous process improvement efforts.

• Required Skills & Experience
• Strong experience in data analytics, data interpretation, and business intelligence.
• Proficiency in programming and scripting languages such as Python, SQL, R, or Spark.
• Experience working with large-scale databases, data warehouses, and diverse data sources.
• Hands-on experience developing dashboards and reports using business intelligence and data visualization tools.
• Strong analytical, statistical, and problem-solving capabilities.
• Experience querying, manipulating, and analyzing data across various platforms and environments.
• Knowledge of data quality, governance, metadata management, and data lifecycle concepts.
• Excellent communication and stakeholder management skills.

• Preferred Qualifications
• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Analytics, Economics, Engineering, Operations Research, or a related quantitative field.
• Experience working with AWS cloud services and cloud-based data solutions.
• Knowledge of Agile, Lean, Six Sigma, or other process improvement methodologies.
• Experience implementing data governance and data quality frameworks.
• Familiarity with financial services, banking, or highly regulated industries.
• Advanced experience with Python, SQL, Spark, or other analytics technologies.