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Top Analytics Jobs in Salt Lake City, UT
Fintech • Information Technology • Software
Lead a team of analysts and data scientists embedded in sales to build rigorous pilot analyses, create executive-ready business cases, expand consultative analytics across the partner lifecycle, and publish industry insights while coaching and scaling the Solutions Analytics function.
Top Skills:
Google DocsGoogle SheetsGoogle SlidesPythonSQL
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Insurance
Lead onboarding, mapping, and validation for a Customer Data Hub: write user stories and acceptance criteria, define mastering/transformation logic, perform data lineage and reconciliation, validate integrations and outcomes, support production incidents, create runbooks and documentation, and partner with product, engineering, QA, and governance teams to enable reliable customer data for applications and analytics.
Top Skills:
APIsCloud Data PlatformsMaster Data ManagementReltioSnowflakeSQL
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design, build, and maintain end-to-end data models and pipelines to support CX operations, compliance reporting, and customer insights. Create dashboards and metrics, enforce data quality and governance, automate recurring workflows, and partner with stakeholders and broader data teams to deliver self-serve analytics solutions.
Top Skills:
AirflowDatabricksDbtGenerative AiLookerSnowflakeSQLTableau
Healthtech
Lead end-to-end strategic projects to optimize health plan programs, perform data-driven analyses, build impact models, present executive recommendations, advise cross-functional stakeholders, mentor junior analysts, and monitor initiative outcomes to improve efficiency and care quality.
Top Skills:
Excel
Fitness • Healthtech • Retail • Pharmaceutical
Lead a team of data engineers and BI developers to deliver scalable sales analytics, forecasting, and AI-enabled insights. Set strategy, prioritize roadmap, ensure platform stability and usability, translate business needs into dashboards and reporting, and partner cross-functionally to drive adoption and continuous improvement.
Top Skills:
AIData Visualization PlatformsDatamartExcelPower BISalesforceSQLTableau
2 Days AgoSaved
Professional Services • Consulting
Design, develop, and monitor large-scale data pipelines and cloud-native data applications; collaborate with consulting teams and clients; apply best practices (TDD, CI/CD); build and operationalize ML-ready data platforms; produce documentation and runbooks; mentor junior engineers and contribute to proposals and analytics assets.
Top Skills:
AirflowAWSAzureCassandraCi/CdDatabricksDbtDjangoDockerFastapiFlaskGoogle Cloud PlatformKubernetesMongoDBMySQLOraclePostgresPysparkPythonRSASScikit-LearnSnowflakeSQLTddTensorFlow
Artificial Intelligence • Enterprise Web • Software • Automation
As a Forward Deployed Data Analyst, you will configure and implement data systems for clients, ensuring their analytics are accurate and actionable. You'll work with teams to refine metrics and improve data processes, ensuring value from day one.
Top Skills:
AnalyticsSQL
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Build and maintain production-grade data models and pipelines for the Compliance Data Mart, implement data quality frameworks and monitoring, partner with engineering to resolve data gaps, support regulatory exams and audits, and automate manual workflows into scalable pipelines and self-serve tooling.
Top Skills:
DatabricksDbtGenerative AiPythonSnowflakeSQL
Payments
The Analytics Engineer will design data models, maintain analytics pipelines, document data governance, and partner with stakeholders to address data needs.
Top Skills:
DbtEltPythonSnowflakeSQL
Payments
The Analytics Engineer will develop and maintain analytical data models, manage ELT pipelines, document data governance, and partner with stakeholders to meet their data needs.
Top Skills:
DbtPythonSnowflakeSQL
Logistics • Marketing Tech • Software
The Senior Analytics Engineer will develop data pipelines, build models, and create dashboards to provide actionable insights for various teams. The role requires collaboration with multiple stakeholders to meet analytical needs and ensure data governance.
Top Skills:
BigQueryDbtLookerOmniPythonRedshiftSnowflakeSQLTableau
Enterprise Web • Fintech • Marketing Tech • Software
The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success.
Top Skills:
Cloud Data WarehouseExagoExcelPower BISQLUnanetVisual Basic For Applications
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Insurance
The Staff Analyst will design analytical frameworks, lead business case development, and provide insights across departments while mastering insurance analytics.
Top Skills:
AILookerstudioPredictive ModelsSQL
Cloud • Information Technology
Lead client-facing Data & Analytics engagements across pre-sales, architecture, and delivery. Define strategy, roadmaps, solution designs, and SOWs for modern data platforms, pipelines, governance, analytics, and AI enablement. Drive practice development, create reusable IP, mentor teams, and ensure quality delivery and strong business outcomes.
Top Skills:
AIAnalyticsBusiness Intelligence PlatformsCloud-Native Data PlatformsData EngineeringData PipelinesData WarehousesLakehouse PlatformsMachine LearningOrchestration Tools
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Big Data • Fintech • Mobile • Payments • Financial Services
The Analytics Lead will leverage data analytics to optimize credit strategies, monitor portfolio performance, and collaborate on credit policy with stakeholders across technical and non-technical teams.
Top Skills:
Machine LearningPythonSQL
Healthtech
Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.
Top Skills:
AnalyticsCloud-Based PlatformsData-Driven Solutions
Insurance
Senior technical leader defining Subaru of America's enterprise data architecture strategy across platforms, integration, governance, analytics, and security. Shapes 3-5 year data strategy, drives architecture standards, enables AI/agentic workflows, leads cross-functional solutions, mentors teams, and represents SOA externally to advance data capabilities and compliance.
Top Skills:
Agentic WorkflowsAi/MlAnalyticsAWSAzureData CatalogingData GovernanceData IntegrationData LakeData Loss Prevention (Dlp)Data PlatformsData StreamingData WarehousingEncryptionEtl/EltEvent-Driven ProcessingLakehouseMaskingMaster Data Management (Mdm)Metadata ManagementPseudonymization
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Fintech • HR Tech • Insurance • Consulting
Design, develop, and monitor large-scale cloud-native data solutions and ETL pipelines; support ML model deployment, ensure code hygiene and CI/CD, mentor engineers, produce documentation and runbooks, and engage with clients to deliver analytics-driven solutions.
Top Skills:
AirflowAWSAzureCassandraCi/CdDatabricksDbtDevOpsDjangoDockerFastapiFlaskGoogle Cloud PlatformKubernetesMongoDBMySQLOraclePostgresPysparkPythonRSASScikit-LearnSnowflakeSQLTensorFlow
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
Lead infrastructure analytics for compute, storage, and networking: design scalable data pipelines, define core metrics, build dashboards and APIs, ensure data quality and governance, drive instrumentation fixes, and advise executives on capacity, utilization, and readiness.
Top Skills:
AirflowAPIsDagsterDashboardsData WarehouseDistributed Data Processing Frameworks
Real Estate • Travel • PropTech
The Lead, Advanced Analytics, Acquisition will analyze data, define metrics, conduct A/B tests, and collaborate with teams to drive growth and insights.
Top Skills:
Ai-Assisted AnalyticsPythonRSQL
Business Intelligence • Consulting
Design and deliver reporting, dashboards, and analytics for higher education advancement and constituent data. Gather requirements, define KPIs, perform SQL-based analysis and data validation, and build actionable Tableau visualizations. Advise clients, run workshops, collaborate with data engineering/CRM teams, document business rules and tests, and support adoption and analytics modernization initiatives within a consulting environment.
Top Skills:
AzureBlackbaud CrmDatabricksEllucian AdvanceMicrosoft FabricPower BIRaisers EdgeSalesforce Crm AnalyticsSalesforce Data CloudSalesforce Education CloudSlateSnowflakeSQLTableauTableau Next
Travel
Lead HR analytics initiatives by designing predictive models, building full-stack analytics applications, and partnering with HR stakeholders. Develop data models, ensure governance, perform advanced statistical analyses, and present actionable insights. Drive application development, testing, documentation, UX collaboration, and adoption tracking across global HR teams.
Top Skills:
AWSCSSDjangoDockerFigmaFlaskHTMLJavaJavaScriptJupyter NotebooksOracle ApexOracle HcmPythonRReactSagemakerSparkSQLTensorFlow
Healthtech • Information Technology
The Data & Analytics team at Surescripts transforms healthcare data into actionable insights, collaborating with various stakeholders to support critical decisions across the healthcare ecosystem.
Top Skills:
AnalyticsArtificial IntelligenceData SolutionsMachine Learning
Information Technology • Consulting
Lead architecture and implementation of enterprise Adobe Experience Platform solutions, including data ingestion, identity resolution, XDM modeling, Web SDK event collection, and Real-Time Customer Profile. Design and operationalize customer journeys and real-time activations in Adobe Journey Optimizer, integrate AEP with downstream systems (CJA, activation platforms), lead solution design/PoCs, and collaborate with analytics, engineering, and marketing teams to build reusable frameworks and govern platform data quality.
Top Skills:
Adobe Customer Journey Analytics (Cja)Adobe Experience Platform (Aep)Adobe Journey Optimizer (Ajo)Adobe Web SdkEvent-Based Data CollectionIdentity ResolutionReal-Time Customer ProfileXdm (Experience Data Model)
Healthtech
Develop and maintain value-based pro forma scenario and negotiation models, automate and standardize modeling, provide hands-on analytic support for IDN negotiations, collaborate with business partners on analytic solutions, and communicate results to stakeholders.
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