Data Analyst Jobs in Richardson, TX

As a Principal Data Analyst, you'll innovate, build and maintain data solutions using scripting languages and cloud services to tackle business problems, providing insights and managing data quality.

As a Principal Data Analyst, you will innovate and maintain data solutions, partner with business for insights, and oversee data quality management.

Lead analytics efforts by building data solutions, dashboards, and data quality processes. Partner with business stakeholders to deliver insights, enable self-service, and manage data governance and access.

As a Data Analyst, you will innovate data solutions, conduct business intelligence analysis, and manage data quality while collaborating with tech teams.

The Senior Data Analyst at Capital One will use analytics and technical skills to solve business problems through innovation, business intelligence, and data management. Responsibilities include data analysis, developing tools and dashboards, ensuring data quality, and collaborating with tech teams for data governance.

As a Senior Analyst, Loss Mitigation, you will develop business strategies to minimize losses while collaborating with multiple teams to implement data-driven solutions and analyze project life cycles.

Seeking a Senior Business Intelligence/Data Analyst with expertise in data warehousing, ETL design, data modeling, and analytics to manage projects and enhance data usability.

The Sterling Data Analyst will enhance order entry systems, maintain Oracle databases, and analyze data for integration with Sterling applications, requiring strong SQL skills.

Lead credit strategy and policy for new products and programs. Analyze large datasets using Excel, SQL, Snowflake, and Python/R to build quantitative models, monitor performance, and present recommendations to senior leaders. Collaborate cross-functionally to drive growth and profitability while owning lifecycle monitoring and execution.

The Data Quality Analyst will manage customer data quality by correcting errors, identifying trends, tracking issues, and assisting in user-acceptance testing, while training new team members.

Analyze healthcare claims to identify payment anomalies, build statistical and predictive models, create dashboards and reports for executive decision-making, ensure data integrity, automate processes, and present actionable insights to stakeholders.