Top Senior Data & Analytics Jobs in Dallas, TX

As a Lead Data Engineer, you will design and develop solutions, collaborate with teams on data technologies, and support cloud-based data warehousing and big data applications.

Manage the Data Lake engineering team at Apex Fintech Solutions, driving technical initiatives, collaborating with stakeholders, and ensuring scalable data solutions. Responsibilities include team leadership, Agile facilitation, technical strategy, risk management, and establishing best practices in data engineering.

Responsible for designing and optimizing data warehouses and ETL architecture, analyzing BI data, capturing requirements, and providing technical guidance and support.

The role involves leading data architecture strategies and driving innovation in data solutions while ensuring compliance with governance policies. Responsibilities include translating data requirements into technical plans, overseeing advanced data technologies, and fostering collaboration among stakeholders.

The Senior Data Integration Software Engineer designs and develops data integration solutions, supporting finance systems and ensuring optimal performance and scalability. Responsibilities include leading initiatives, analyzing data processes, coordinating testing, and supporting production environments.

The Associate Principal, Business Analysis role involves analyzing information, developing user stories, facilitating agile practices, and collaborating with teams to ensure effective business analysis.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

Design and implement MDM solutions, analyze business and data requirements, create technical specifications, ensure code quality, and offer technical guidance on data management.

The Senior Business Intelligence Analyst will design BI information models, dashboards, metrics and reports, utilizing SQL, R, and Python to enhance business productivity.

The Senior Data Analyst will develop data pipelines, implement predictive models, analyze data patterns using Python and SQL, and create visual dashboards while collaborating with multiple teams.