Top Senior Data & Analytics Jobs in Phoenix, AZ

Lead fraud analytics initiatives for internal monitoring, partnering with executives to design solutions that mitigate fraud risk using data-driven strategies.

The Senior Analytics Engineer will design and maintain ELT pipelines, manage data layer for CX, and partner with teams to transform data into actionable insights.

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead a data science team, manage analytics strategies, collaborate with stakeholders, conduct complex data analyses, and drive business performance.

The Intel Foundry Data Steward/Scientist optimizes manufacturing and supply chain operations through data analysis, visualization, and collaboration with stakeholders to drive efficiency and insights.

The role involves analyzing fraud methodologies, executing data analysis, and influencing change through insights. It includes managing compromised credential risks and supporting data integrity.

Responsible for analyzing data, providing insights and recommendations for business initiatives, mentoring, and managing analytic processes. Engages with partners to translate business needs into analytic projects.

The Sr. Data Analyst engages with partners for analytical projects, validates data, performs trend analysis, delivers visualizations, and mentors others.

This role requires transforming complex data into actionable insights for senior leadership, utilizing tools like Tableau and SQL, and overseeing analytical projects.

The Manager Business & Market Analytics leads analytics and reporting across domains to drive data-informed decisions, partners with leadership for insights, builds frameworks, develops a team, and communicates findings.

Design, develop, and maintain data pipelines and analytics infrastructure to support developer productivity and engineering metrics. Collaborate closely with teams for actionable insights and ensure data quality and performance across platforms.