Top Data & Analytics Jobs in Austin, TX

The Flight Systems API Analyst at ForeFlight will analyze flight plan errors, develop AI/ML tools, enhance operational workflows through API integration, and create customer resources. The role necessitates collaboration with product managers and developers to improve systems and support customers in flight operations.

The Data Migration Engineer will join the team to convert clients' online banking data from legacy systems to the Q2 platform using Python and SQL. Responsibilities include analyzing data sets, designing code for data conversion, troubleshooting data issues, documenting modifications, and facilitating client and partner team relationships.

The Procurement Data and Insights Lead is responsible for advancing Dropbox’s spend intelligence capabilities through data accuracy, actionable insights, and innovative solutions leveraging AI and automation. This role involves collaboration with various departments and requires a visionary approach to enhance procurement processes while driving continuous improvement.

As a Vendor Risk Analyst, you will conduct third-party risk assessments, analyze reports, and collaborate with internal teams to ensure compliance with security practices. This role requires strong problem-solving skills, excellent communication abilities, and the capacity to manage vendor remediation activities while ensuring effective reporting and documentation of compliance metrics.

As a Manager in Data and Analytics at PwC, you will lead technology workstreams, manage client expectations, and design data solutions using Azure, Databricks, and Snowflake. Your role involves mentoring team members, ensuring project success, and enhancing PwC's intellectual property while maintaining exemplary standards in deliverables.

The Senior Business Systems Analyst will support Channel & Alliances at Cloudflare by optimizing Salesforce and PRM tools for partner sales. Responsibilities include collaborating with internal teams to analyze requirements, managing partner programs, and delivering scalable solutions to enhance partner interactions.

As a Part Time Student in Data Science and Analytics at John Deere, you will support data projects, clean and analyze data, collaborate across teams, and present findings. This role requires working during academic hours and involves statistical analysis and machine learning.