Top Data & Analytics Jobs in Austin, TX
The Lead Data Manager oversees all data management activities in clinical trials, coordinating data management tasks, client communications, and project timelines. Responsibilities include creating study documentation, user acceptance testing, data review, and training Data Managers. The role requires maintaining data quality and conducting project-specific training while ensuring compliance in deliverables and documentation.
The GIS Analyst will provide technical expertise in GIS, create and maintain GIS database products, conduct analysis, support end-users, and ensure quality assurance of GIS applications. Responsibilities include developing documentation and conducting testing of GIS applications.
The GIS Analyst at Ardent will provide technical expertise in GIS, create and maintain GIS database products, conduct detailed analysis, develop documentation, test GIS applications for functionality, and perform QA/QC on data and processes.
Looking for a Senior Oracle Database Administrator with Oracle Goldengate 21c Microservices experience to deploy and maintain database clusters, automate tasks, optimize code, and participate in on-call rotation. Must have experience in Oracle 12c/19c, Data Guard, performance tuning, and PL/SQL programming.
Featured Jobs
As a member of the Data Ops team, you will process investment data from venture capital firms, analyze financial statements, assist in onboarding new customers, ensure data accuracy, and collaborate with various departments to streamline data workflows.
In this role, you will lead the development of AWS-based data pipelines and analytics, manage infrastructure-as-code, optimize databases, and support data-driven decisions across Dwolla's API platform, leveraging your skills in DataOps and cloud technologies.
As a Senior Product Analyst, you will analyze and deliver insights across the product lifecycle for Attentive's AI-driven marketing platform, partner with product managers and engineers, develop analytics frameworks for A/B testing, and help identify new product opportunities to enhance marketing program performance.
As a Senior Data Engineer, you will design and optimize data infrastructure, collaborate with teams to ensure data flow across marketing technology platforms, and influence strategy and technical roadmaps. You will work on innovative projects using cutting-edge technologies.
The Senior Data Quality Analyst will enhance data quality through automation and collaboration with data operations and reporting teams, applying statistical methods and tools to ensure accuracy, completeness, and reliability of data for government health programs, particularly for CMS. Responsibilities include analyzing data, developing quality policies, and presenting findings to stakeholders.
The Data Engineer at ICF Next will collaborate with data scientists and stakeholders to ensure data availability and integrity. Key duties include monitoring data systems, optimizing database performance, translating business use cases to solution architecture, and implementing best practices for data management and governance.
As a Data Architect, you will lead efforts in designing enterprise data governance frameworks, developing relational databases, and creating architecture solutions for a range of data use cases. You'll assess current IT infrastructure, ensuring compliance with federal standards while working closely with development teams in an Agile environment.
As an Economics Analyst, you will conduct applied research and consulting services focused on transportation safety, environmental, and natural resource management. Responsibilities include analyzing rulemaking documents, performing quantitative analyses like cost-benefit and econometrics, developing analytical methods and models, and drafting federal agency rulemaking documents. You'll collaborate with a multidisciplinary team and interact directly with clients.
As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.
All Filters
No Results
No Results
