Top Senior Level Analytics Jobs in Austin, TX

The Data Architect- Manager at PwC will design and implement data architecture strategies, develop data models, and ensure compliance with data governance. This role involves leading data strategy engagements, optimizing ETL pipelines, and implementing cloud-based data solutions across various platforms. Leadership skills are crucial as the role includes mentoring and collaborating with stakeholders to meet business needs.

The Fraud Analyst monitors financial activities and investigates suspicious transactions. They analyze large data volumes to identify fraud patterns, conduct thorough investigations, review transaction alerts, and develop prevention strategies to mitigate risks, ensuring compliance with regulations.

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 Senior Data Scientist will focus on providing insights and analysis to optimize Babylist's fulfillment and operations, working closely with product and business leaders to improve processes and revenue generation through data-driven decisions.

As a Senior Data Analyst in Customer Product Analytics, you'll analyze product performance, conduct A/B testing, and create strategic insights to drive business decisions for Realtor.com. You will partner with product teams, communicate findings, and help improve customer interactions.

The Data Center Selection Manager will improve quality and cost for colocation sites, handle vendor partnerships, and manage contract negotiations. This role involves cross-functional collaboration and strategic planning to support infrastructure growth within a technology organization.

The Senior Operations Manager, Workforce Analytics will serve as a trusted advisor to leadership across the Operations organization, driving operational processes for staffing decisions and resource capacity planning. Responsibilities include analyzing demand drivers, maintaining capacity plans, synthesizing forecast data, and delivering insights to optimize staffing and enhance organizational efficiency.