Top Analytics Jobs in Salt Lake City, UT

As a Data Analytics Manager, you will lead a team to analyze data, drive strategic insights, manage projects, and optimize mobile app performance for top brands.

The Analytics Engineer will enhance BI infrastructure, collaborate with Data Engineering, and deliver analytics-ready data. Responsibilities include managing Snowflake, dbt projects, and CI/CD workflows, optimizing data structures, and supporting BI initiatives.

The Manager, Billing Analytics partners with Reimbursement Operations to provide high-quality reporting and insights through data analysis and visualization, enhancing decision-making processes.

The Principal Analytics Engineer will design and engineer a data infrastructure to support AI-powered insights and reporting for Elastic's marketing strategies, ensuring data quality and usability for all stakeholders.

The role involves designing and maintaining data models and pipelines, collaborating with teams to drive insights, and building dashboards for analytics and reporting.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

Lead the People Analytics function by developing AI tools, predictive models, and dashboards to enhance HR decision-making and employee experience.

As a Senior Data Analytics Engineer, you will build and manage data pipelines, support AI/ML initiatives, and ensure data reliability and accessibility within the organization.

The Analytics Principal will lead analytics for key client partnerships, analyze large datasets, develop insights, and mentor junior analysts.

The Analytics Implementation Manager will lead the implementation and validation of analytics infrastructure, ensuring measurement accuracy and reliability across client accounts. Responsibilities include deploying tagging solutions, managing data layers, coding in JavaScript, and collaborating with cross-functional teams to troubleshoot and enhance performance tracking.

The Analytics Manager will lead analytical efforts, derive actionable insights from data, mentor junior analysts, and engage with clients to enhance strategies utilizing Cardlytics' platform.

The Product Analytics Data Scientist will enhance algorithms based on customer needs, optimize grocery orders, and support data use for improved ordering performance.

The Director, Ecommerce and Marketing Analytics leads analytics across multiple business functions, transforms data into insights, governs AI workflows, and establishes analytical standards to drive decisions and actions throughout the organization.

The role focuses on providing analytics services to game studios, including A/B testing, revenue analysis, and data contextualization for decision-making.

The Senior Manager, Data Strategy & Analytics will lead analytics across teams, translating data into actionable insights, building dashboards, and ensuring data quality.

The Director of Business Intelligence & Analytics at RapidSOS will spearhead data-driven strategic planning, metric governance, and AI-driven analytics to inform executive decisions and foster growth.

The Manager of Operational Analytics leads a team to improve partner relationships through analytics, overseeing reporting, performance dashboards, and implementing AI tools for enhanced insights.

The Senior Manager, Risk Analytics & Decision Science will shape credit strategies, improve decisioning frameworks, and optimize model performance to enhance approval, pricing, and portfolio outcomes.

Lead analytics for Nutrafol.com and the Nutrafol App, driving insights for roadmap prioritization, conversion optimization, and overseeing CRO analytics. Manage a Senior Associate Analyst and collaborate on digital experiences that enhance growth.

This role manages the BI platform's day-to-day operations, develops analytics solutions, enhances capabilities, and partners with teams to fulfill reporting needs. Responsibilities include monitoring system performance, data governance, and ensuring data quality while delivering actionable insights to support business growth.

The Lead Analytics Engineer will model revenue, specifically subscription revenue, manage financial KPIs, and ensure reconciliation with source systems like Stripe, while adhering to data governance standards.

Manage end-to-end analytics projects, lead cross-functional teams, ensure client satisfaction, and utilize AI tools to enhance data insights.

Manage analytics projects, ensuring client satisfaction while leveraging real-world data. Collaborate with cross-functional teams to translate business questions into data analysis, and lead process improvements within the team.

The Staff Product Analytics Engineer will enhance product data usage across teams by owning data infrastructure, creating tools for self-service data, and ensuring data-driven decisions. Responsibilities include collaborating with various teams to improve data insights and maintain data pipelines.