Top Senior Level Data & Analytics Jobs in Dallas, TX
As a Data Scientist at Airtable, you will partner with product teams to drive insights and identify business opportunities, manage experiments, build a data culture, and communicate findings through storytelling and visualizations.
The Senior Analyst, Threat Management is responsible for monitoring and analyzing threats, conducting vulnerability assessments, collaborating with teams for security integration, and improving overall security processes. They will also prepare risk analyses, reports, and assist in security training initiatives.
The ServiceNow Business Process Consultant will help clients adopt ServiceNow best practices by analyzing business needs, leading process improvement workshops, and ensuring solutions align with client expectations. They will also manage client relationships and provide mentoring to team members while acting as the Subject Matter Expert in relevant areas.
The Senior Cloud Database Administrator is responsible for maintaining and administering cloud databases in a highly-available 24/7 environment. Key duties include performance monitoring, ensuring security and recoverability, managing upgrades, and providing technical support for application development teams.
As a Senior Data Engineer, you will develop and maintain data pipelines using tools like Databricks and Airflow, write maintainable Python code, and design solutions with Kubernetes. You'll collaborate with Data Science teams to build scalable applications and manage data from diverse sources while ensuring effective communication across teams.
As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.
The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.
As a Staff Analytics Engineer at Amplify, you will work within data analytics teams to create data models and metrics, enhance processes, and provide insights for educators. Your responsibilities include building analytical models, ensuring data privacy while analyzing performance, and collaborating with data specialists to enhance data practices.
The Data Conversion and Migration Lead will oversee data migration activities, including developing data cleansing strategies, managing data migration security, and coordinating data validation efforts. This role involves supporting the transition to a new financial system, ensuring accurate data flow, testing migration plans, and documenting all activities.
The Senior Research Scientist will architect and build pipelines for training models on driving data, develop and optimize prediction models, and mentor junior engineers while collaborating with perception and motion planning teams.
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