Top Analytics Jobs in Salt Lake City, UT

Leads data strategy for MetLife’s Group Benefits business by connecting business and Data & Analytics teams, establishing shared definitions, resolving ownership gaps, and improving governance and quality. The role leads Data Councils, supports Agile Release Trains, removes data-related blockers, and strengthens data foundations for decision-making, service delivery, analytics, and AI initiatives.

Leads a team of five experienced analysts and data scientists while personally owning strategic analytics across ecommerce, health, supply chain, inventory, fulfillment, and merchandising. Partners with executives, establishes KPI and reporting standards, prioritizes the analytics roadmap, and delivers actionable business insights. The role also advances AI-native, self-service analytics capabilities, strengthens data governance and quality, and builds a high-performing analytics culture.

Build and maintain production data pipelines, dbt models, Airflow workflows, and governed datasets supporting People Analytics. Integrate Workday and other HR systems into reliable Snowflake data products, implement data quality monitoring, row-level security, semantic models, and AI agents. Partner with engineers, analysts, data scientists, and business stakeholders to deliver trusted data solutions, communicate technical trade-offs, enforce governance, and mentor other engineers.

Own the people analytics roadmap, build reliable HR data pipelines and reporting, and deliver workforce, talent, and process insights. Analyze employee lifecycle operations, measure performance, identify automation opportunities, and develop dashboards and predictive analyses for senior leaders. Partner across People, HRIS, IT, Finance, Legal, and data teams to improve data governance, privacy, operational efficiency, and employee experience. Establish analytical standards and coach People colleagues on data-driven decision-making.

Leads and manages a business analyst team supporting a data platform. Partners with clients, product managers, engineers, and stakeholders to gather requirements, write user stories, perform data gap analyses and source-to-target mapping, validate data using SQL, and support data quality, lineage, QA, Agile delivery, change management, and documentation. Requires healthcare data expertise, people leadership, strong communication, and experience translating technical information for varied audiences.

Lead marketplace analytics for Affirm’s two-sided ecosystem by optimizing monetization, supply, demand, pricing, profitability, and user experience. Build KPI dashboards, analyze marketplace and affiliate performance, conduct experiments, evaluate incentives and placement, and perform loan-level profitability analyses. Partner cross-functionally with Product, Engineering, Sales, Client Success, and Marketing to improve merchant value, consumer engagement, conversion, and sustainable GMV growth.

Lead Toast’s global People Analytics function across data engineering, analytics, data science, and employee listening. Set the people data and reporting strategy, establish trusted metrics and governance, partner with executives on workforce decisions, measure People program impact with Finance, and build scalable self-service analytics. Manage a distributed US and India team, oversee executive and board-level workforce analysis, and collaborate with privacy, legal, People technology, AI, and data engineering teams.

Leads strategy, planning, and execution of customer EMR integrations for PhareOS. Oversees end-to-end data delivery, integration quality, process standardization, tooling, vendors, and platform enhancements. Builds and scales the data integration team, manages resources and senior client stakeholders, and drives innovation across integration methods and operating models. Requires extensive healthcare data integration leadership, HL7/FHIR and interface engine expertise, SQL proficiency, and strong program management skills.

Build and maintain analytical datasets, dimensional models, Power BI semantic models, and governed data transformations in Microsoft Fabric. Translate business requirements into reliable data products, perform testing and reconciliation, troubleshoot refreshes and deployment issues, and support Git-based development and CI/CD practices. The role requires independent ownership of low- to moderate-complexity engineering work, technical documentation, and collaboration with senior engineers, DataOps, governance teams, consultants, and business stakeholders.

Leads enterprise data governance strategy, transformation, operating model modernization, accountability, and executive engagement. Partners with senior stakeholders to improve data trust, accessibility, regulatory alignment, risk management, analytics, AI readiness, and business outcomes. Represents the Data Office in strategic and regulatory forums, establishes roadmaps and performance measures, resolves cross-functional data challenges, and drives organizational change without direct authority. The role focuses on governance and transformation rather than engineering, coding, analytics delivery, or technical administration.

Own Hometap’s product and marketing event-data ecosystem, including taxonomy, tracking plans, governance, Segment Protocols, schema validation, and source management. Partner with marketing, product, and engineering to define instrumentation and event specifications. Build monitoring for schema conformance, event volume, and property completeness, while documenting standards and managing event review and deprecation processes.

Develop and maintain data delivery processes, workflows, data quality solutions, and visualizations supporting consumer lending. Analyze complex datasets, identify root causes, resolve production issues, and provide actionable recommendations. Collaborate with technical and business stakeholders, document methodologies, and communicate findings effectively. The role requires SQL, Python, Tableau, cloud data environment, database, and large-scale dataset experience.

Leads commercial analytics and optimization across pricing, promotions, forecasting, financial modeling, and business intelligence. Develops analytical models, evaluates promotional effectiveness, monitors commercial KPIs, and creates dashboards and performance scorecards. Translates complex data into actionable recommendations for Commercial and Operations leaders, validates reporting data, and identifies revenue and profitability opportunities. Manages and develops a Reporting Analyst while partnering with cross-functional teams on continuous improvement.

Leads commercial analytics, pricing optimization, promotional effectiveness measurement, forecasting, financial modeling, dashboards, and performance reporting. Translates transaction and product data into recommendations that improve revenue and profitability. Partners with Commercial and Operations teams, validates reporting data, evaluates vendor-funded programs, and manages a Reporting Analyst.

Deliver recurring and ad hoc commercial analytics, client reporting, performance-guarantee calculations, dashboards, and value measurement. Define and govern metrics, validate data, improve documentation and workflows, and automate repeatable processes. Partner with Client Success, Commercial, Finance, Product, and Analytics teams to translate complex questions into actionable insights, client-ready narratives, and recommendations that strengthen client relationships and inform business strategy.

Leads commercial analytics and optimization, including pricing strategy, elasticity analysis, forecasting, financial modeling, promotional effectiveness, dashboards, and performance reporting. Translates complex transaction and purchasing data into recommendations that improve revenue and profitability. Partners with Commercial and Operations teams, validates reporting data, and manages a Reporting Analyst. The role requires advanced Excel, SQL, business intelligence, statistical modeling, and quantitative analysis skills.

This is a general interest opportunity for candidates who want to connect with QuickLaunch Analytics for potential future roles. The company delivers enterprise data analytics solutions using Power BI, Databricks, and Azure Cloud, helping organizations centralize, transform, and use trusted data for better decision-making.

Leads real estate market research and analytics supporting franchise expansion, territory planning, site selection, portfolio optimization, and franchisee decision-making. Develops market models, dashboards, reports, GIS data, and territory packages; manages Sitewise and data integrations; evaluates demographics, competition, saturation, and location performance. Collaborates with development, marketing, real estate, franchisees, and external stakeholders on strategic analyses, special projects, and M&A evaluations.

Develop data and analytics solutions for the supply chain organization. Responsibilities include collecting, cleaning, and analyzing data; creating digital products and visualizations; collaborating with business units to meet requirements; presenting solutions; and training end users. The intern will also support continuous improvement initiatives and gain exposure to analytics application development and supply chain operations.

Own BookNook’s Snowflake data platform, including data modeling, access, cost, performance, pipelines, automation, and reporting. Build Python-based exports and state data feeds, develop BI dashboards, support privacy and security requirements, and deliver district, partner, executive, and research reporting. Lead data projects end to end, communicate findings to technical and nontechnical stakeholders, improve onboarding and data quality, and establish foundations for longitudinal student-outcomes research.

Leads product analytics by developing dashboards, defining KPIs, analyzing customer behavior, and delivering insights that guide product strategy and roadmap prioritization. Builds forecasts, business cases, and ROI analyses; partners cross-functionally with Product, Engineering, Customer Success, Sales, and leadership; and ensures accurate reporting and data governance. Supports predictive analytics and AI initiatives while communicating recommendations to stakeholders. This is a fully remote role requiring up to 20% travel.

Build and maintain Snowflake transformation layers and Power BI semantic models supporting reporting, self-service analytics, and AI initiatives. Develop SQL and dbt transformations, apply data modeling and business rules, automate manual data processes, troubleshoot data quality issues, and coordinate data projects from requirements through delivery. Collaborate with IT, data warehouse teams, engineers, analysts, and business stakeholders while contributing to code reviews, testing, CI/CD, and documentation.

Leads enterprise analytics and strategy engagements that translate complex business questions into decision-ready insights. Partners with executives and cross-functional leaders to evaluate opportunities, define measurement frameworks, identify data needs, and support growth, transformation, and operational effectiveness. Directs a team of analysts, establishes analytics methodologies, develops talent, and influences enterprise strategy through rigorous analysis, business acumen, and consultative leadership.

Analyzes paid media performance across the full funnel, connecting spend and platform metrics to applications, enrollment, student lifetime value, and ROAS. Builds attribution frameworks, Databricks data pipelines, Power BI dashboards, semantic models, and advanced DAX reporting. Supports marketing mix modeling, experimentation, web analytics data quality, forecasting, governance, and workflow automation. Translates complex analytics into strategic recommendations for executive and cross-functional stakeholders.

Own sales insights and analytics as the trusted source of truth for sales leadership. Build forecast reporting, predictive and machine learning models for deal outcomes, executive dashboards in Salesforce and Tableau, and actionable analyses supporting GTM strategy. Partner cross-functionally on metrics, data governance, QBRs, and strategic planning while translating complex business problems into recommendations.