In this Principal Data Analyst role focused on financial services, you will apply analytic and technical expertise to design, build, and maintain reliable data solutions that support innovation, business intelligence, and data management initiatives.
Role Scope
You will help address business needs through data solutions, self-service frameworks for data consumers, and clear insights supported by visualization. The position also emphasizes data quality practices, including governance of metadata, data lineage, and business definitions, along with monitoring and reporting to ensure data reliability.
Key Responsibilities
- Use Open Source and digital technologies to mine complex, high-volume, and varied data sources and platforms.
- Build and maintain well-managed data solutions, tools, and capabilities that enable self-service frameworks for data consumers.
- Demonstrate the ability to learn new technologies quickly and apply them to progress multiple initiatives.
- Partner with business stakeholders to translate requirements into tools, techniques, metrics, and dashboards for insights and data visualization.
- Drive analytical work that supports meaningful insights into business strategies.
- Apply and adhere to data quality management principles, including metadata, lineage, and business definitions.
- Collaborate with relevant technology teams to manage security mechanisms and data access governance.
- Build and execute tools that monitor and report on data quality.
Required Qualifications
- Degree specialized in a Science, Technology, Engineering, Mathematics discipline.
- Scripting experience in Python, R, Spark, and SQL.
- Strong interest and experience working with data in multiple forms, including data warehouses/SQL and unstructured data.
- Experience using and developing with AWS services.
- Currently has, or is in the process of obtaining, a Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus at least 5 years of data analytics experience; or currently has, or is in the process of obtaining, a Master’s Degree plus at least 3 years of data analytics experience, with the expectation the required degree will be obtained on or before the scheduled start date.
- At least 3 years of experience working with at least one scripting language.
- At least 3 years of experience using a business intelligence visualization tool.
- At least 3 years of experience querying, analyzing, and working with data languages and platforms.
Technologies
- Open Source, Python, R, Spark, SQL
- AWS
- Data warehouses, unstructured data
Preferred Qualifications
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline.
- At least 4 years of experience coding in Python, R, Spark, or SQL.
- At least 4 years of experience applying process management and improvement methodologies (Agile, Lean, Six Sigma, etc.).
- At least 2 years of experience utilizing and developing within AWS services.
- At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices in the financial services industry.
Location and Compensation
Location: Plano, TX (onsite).
Salary Range: USD 119,400 - 136,200 per year.
Benefits
- Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.
- Performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).
Education and Experience Baseline
The role requires either a quantitative Bachelor’s degree with at least 5 years of data analytics experience, or a quantitative Master’s degree with at least 3 years of data analytics experience, with the expectation that the required degree will be obtained by the scheduled start date if currently in progress.
