Top Data & Analytics Jobs

2 Days AgoSaved
Remote or Hybrid
Chicago, IL, USA
70K-81K Annually
Mid level
70K-81K Annually
Mid level
Big Data • Information Technology
Owns end-to-end reporting solutions, analyzes data trends, consults clients on BI tools, and identifies process improvements. The role also supports client relationships, lead development, proposals, quoting, BI product development, customer support, and transformation initiatives. It requires independent project management, collaboration with cross-functional teams, and continuous development of BI and analytics expertise.
Top Skills: ClaudeCopilotCpsExcelMS OfficeMicrostrategyOmniPower BIPowerPointRmsTableauWord
2 Days AgoSaved
In-Office
30005, Alpharetta, GA, USA
Mid level
Mid level
Fintech • Consulting
Supports Equifax’s data strategy by identifying and qualifying potential data sources, managing third-party data acquisition and governance activities, and connecting data sourcing to product revenue. Conducts market and competitive research, develops business cases, tracks portfolio performance through dashboards, and advises stakeholders on data capabilities, value, and acquisition opportunities. Collaborates across teams to implement data requirements and improve the use of data products.
Top Skills: BigQueryGoogle WorkspaceLookerMS OfficeTableau
2 Days AgoSaved
In-Office
Minneapolis, MN, USA
137K-171K Annually
Senior level
137K-171K Annually
Senior level
Fintech • Insurance • Financial Services
Leads Employee Benefits sales reporting, commercial insights, and broader data strategy. Establishes KPIs, dashboards, governance, prioritization models, trusted data sources, and multiyear roadmaps. Partners with business, Technology, Enterprise Data, Analytics, and AI teams to translate needs into capabilities, improve reporting adoption, and support data-driven decisions. The role begins as a highly visible individual contributor with potential to build a reporting and data strategy team.
Top Skills: AIAnalytics PlatformsAutomationData ArchitectureData GovernanceData ModelsReporting Tools
2 Days AgoSaved
In-Office
Lansing, MI, USA
Entry level
Entry level
Insurance
Creates reports, data extracts, analyses, data processes, and business intelligence solutions. Builds and documents code for transforming, aggregating, and presenting data; learns organizational data sources and flows; communicates with colleagues; and participates in training. The role requires a technical bachelor's degree, strong mathematics and statistics skills, experience with SQL or programming/database languages, dashboarding tools, and Excel proficiency.
Top Skills: ExcelMicrosoft SqlPower BIPythonTableau
2 Days AgoSaved
In-Office
Ops, Township of Ops, ND, USA
Mid level
Mid level
Financial Services
Supports medium- to large-scale technology initiatives by eliciting and documenting business requirements, performing technical and data analysis, designing solutions, mapping systems, assessing impacts, coordinating stakeholders, mitigating risks, and supporting testing and acceptance criteria. The role bridges IT and Finance stakeholders and independently manages complex business systems analysis activities across multiple projects.
Top Skills: Agile
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2 Days AgoSaved
In-Office
Tok, AK, USA
Entry level
Entry level
Information Technology • Logistics • Professional Services • Software • Consulting • Financial Services • Cybersecurity
Manages wildfire debris-removal data, including field-data quality assurance, load-ticket reconciliation, invoice discrepancy identification, reporting, and project-document control. The role coordinates reconciled and voided tickets with contractors, prepares payment recommendations, exports client reports, maintains project records, and supports closeout activities. Work occurs in remote Alaska with extended shifts, weekends, and potentially 70–90 hours per week during the response period.
Top Skills: Excel
2 Days AgoSaved
Remote
US
106K-130K Annually
Senior level
106K-130K Annually
Senior level
Software
Design, build, and own scalable data pipelines and warehousing architecture from ingestion through analytics and incentive payouts. Lead data platform architecture, dbt modeling, data quality, lineage, observability, performance, and cost management. Partner with engineers and analysts on telematics accuracy and driver incentive reporting. Use AI coding tools daily to develop and review pipelines, SQL, and data models.
Top Skills: Amazon S3Apache IcebergClaudeCursorDbtFivetranHexHolisticsOlakePythonSnowflakeSQL
2 Days AgoSaved
In-Office
East Quogue, NY, USA
Expert/Leader
Expert/Leader
Information Technology • Consulting
Lead hands-on enterprise data architecture and engineering across multiple delivery pods. Design scalable cloud-native data platforms, ingestion pipelines, data meshes, semantic models, knowledge graphs, and analytical layers. Develop conceptual, logical, physical, normalized, and dimensional data models, applying RDF, OWL, SPARQL, and SHACL. Support production coding, integrations, performance, incidents, and reliability. Integrate AI agents and MCP capabilities with secure, observable enterprise data platforms while advising engineering and product leadership.
Top Skills: Ai AgentsAWSAzureCloud-Native ArchitectureData MeshErwinEvent-Driven ArchitectureGCPKnowledge GraphsMcpOntologiesOwlRdfRest ApisRstudioShaclSparql
2 Days AgoSaved
In-Office
Little Falls, NJ, USA
Senior level
Senior level
Cloud • Enterprise Web • Productivity • Software
Manages dealership and vendor systems, builds customized reports, administers dealership applications, trains staff, and delivers executive-ready KPI analyses. Extracts, models, and compares operational performance data against regional and manufacturer benchmarks, maintains recurring reports, ensures data integrity, and conducts targeted data mining and ad hoc analyses to identify business opportunities.
Top Skills: Dealer Management SystemsExcelMicrosoft Powerpoint
Reposted 2 Days AgoSaved
Remote
5 Locations
Senior level
Senior level
Travel
Work on supply-side product and business analytics for direct accommodation contracts. Build and automate reporting, analyze internal/external data, design prioritization/segmentation and predictive algorithms, and partner with product, commercial, and international teams to improve supplier performance and guide strategic decisions.
Top Skills: PythonSQL
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