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Top Remote Data & Analytics Jobs in Madison, WI
eCommerce • Information Technology • Software • App development
Work with clients and technology teams to gather and translate business requirements into technical user stories and solutions, propose process improvements, and communicate effectively with stakeholders. Assist in analytical solution delivery and may write/execute SQL queries.
Top Skills:
SQL
Artificial Intelligence • Cloud • Information Technology • Consulting
Support design, development, and maintenance of data pipelines and infrastructure. Assist with ETL/ELT workflows, data ingestion, cleaning, validation, modeling, and warehousing. Document processes and collaborate with data teams to support analytics use cases.
Top Skills:
APIsAWSAzureData WarehousesDatabasesEltETLGCPGitPythonSQL
Agency • Artificial Intelligence • Marketing Tech • App development
Organise and curate large amounts of raw material: extract key points from transcripts, collate and maintain clean spreadsheets, tag and categorise links and documents, and create findable information structures following or suggesting systems.
Top Skills:
Google DocsGoogle SheetsZoom
Healthtech • Productivity • Software
Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.
Professional Services • Consulting
Process, validate and QA large survey datasets; produce datasets, tables, codeframes and documentation; support weighting, testing and statistical analyses; learn and apply Python/R, automation and AI-assisted tools; improve automated processing workflows under senior guidance.
Top Skills:
Ai-Assisted ToolsAutomationExcelPythonRSpssSQL
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Professional Services • Consulting • Energy • Utilities
Lead and develop a team delivering enterprise data engineering, analytics, and governance. Oversee data pipelines, ETL/ELT, cloud platforms, integration services, and stakeholder engagement to enable data-informed decision-making across the university system.
Top Skills:
Analytics PlatformsCloud-Based PlatformsData GovernanceData PipelinesEnterprise Data PlatformsEnterprise Integration TechnologiesEtl/EltPeoplesoft
Artificial Intelligence • Insurance • Software • Automation
Analyze product performance metrics and user behavior to drive insights for product improvements. Collaborate with teams to develop reporting practices, A/B tests, and dashboards to inform strategy.
Top Skills:
ExcelLookerPythonRSQLTableauTypescript
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
AdTech • Marketing Tech
Architect and scale a governed BI and analytics platform (Snowflake, dbt, Sigma) to deliver trusted, standardized KPI frameworks and semantic layers. Build high-quality data models, optimize SQL for large datasets, enable self-serve analytics, mentor engineers, drive governance and testing standards, and partner with Product, Data Science, Finance, and business teams. Promote AI-assisted tooling to accelerate analytics delivery and improve metric trust and reporting consistency.
Top Skills:
Ai-Based ToolingDbtMetrics LayerSemantic LayerSigmaSnowflakeSQL
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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