Top Consulting Data & Analytics Jobs in Austin, TX

The Senior Data Scientist will build frameworks for data-driven decision making, develop predictive models, ensure data quality, and enhance customer experiences through analytics and operational insights.

Responsible for designing and maintaining data infrastructure, developing data pipelines, ensuring data quality, and collaborating with various teams to enhance data utility. Also involves communication with stakeholders and innovative solutions for business success.

The Senior Bioinformatics Data Engineer will build data pipelines, implement clinical data ingestion, and optimize platform infrastructure while ensuring data quality and compliance with legal standards.

The Data Visualization Developer will create professional dashboards and visual analytics by translating data requirements into BI outputs, primarily using Snowflake as the data source and tools like Tableau and Power BI.

The Informatics Architect will design data pipelines, manage BI environments, and use cloud technologies for data architecture. Responsibilities include working with leadership for data requirements, and developing dashboards using Agile methodologies to ensure project alignment and effective reporting.

As a Data Engineer, you will operationalize data pipelines, support ML tasks, and provide expertise in data engineering and security architecture. You'll work with AI teams and present findings to diverse audiences.

The QA Specialist ensures the quality of Federal Salesforce solutions by leading testing efforts, ensuring compliance, and collaborating across teams to meet project objectives.

The role involves creating impactful HR technology research, analyzing data governance, engaging clients, and mentoring team members, focusing on AI's influence in HR.

The CPQ Salesforce Consultant will implement and optimize Salesforce CPQ solutions, analyze client needs, and manage project lifecycles while collaborating with clients and team members.

The Senior Data Analytics Engineer analyzes and delivers business intelligence solutions, builds data pipelines, and collaborates with clients to meet their data-driven needs.