Top Data & Analytics Jobs in Salt Lake City, UT

Lead and grow a data science team to optimize lending funnels, run experimentation and statistical analyses, build reports/dashboards and data marts, partner with Product/Engineering/Finance, and translate insights to senior leadership to inform product decisions.

The role involves assessing fraud program effectiveness, compliance with regulations, and providing strategic insights for risk management within the financial services industry.

The Model Risk Analyst Sr. will govern model validations and ensure compliance with risk management processes, focusing on model lifecycle and risk assessment.

As an RFM AI Governance Manager at PwC, you will lead teams in developing AI governance frameworks, conduct risk assessments, and mentor junior staff, ensuring compliance with regulations and firm policies.

As an SEO Analyst, you will analyze data to improve SEO strategies, provide performance reports, and collaborate with teams to enhance user experiences and brand visibility.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

The Principal GTM Analyst translates complex business questions into actionable insights, collaborating with Marketing and GTM teams to drive growth and marketing efficiency through advanced analytics and storytelling.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

The Analytics Manager will manage credit strategies for the Shopify portfolio, leveraging data analytics, collaborating with cross-functional teams, and enhancing underwriting frameworks.

The GTM Data & Automation Analyst will develop and scale data products, automate workflows, and enhance team efficiency through collaboration with sales and marketing teams.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.