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Top Data & Analytics Jobs in Reno, NV
Healthtech • Database
Analyze historical and real-time staffing and appointment data to forecast resource needs, build staffing plans, create reports/dashboards and process maps, and collaborate with leadership, HR, and training to optimize scheduling and staffing levels.
Top Skills:
LeanExcelMS OfficeMicrosoft PowerpointMicrosoft WordPivottablesSix Sigma
Software • Analytics • Cybersecurity
Own and evolve revenue systems (Salesforce, CPQ), build and govern the enterprise data platform, drive systems integration and AI enablement, manage HRIS and vendor relationships, and lead a cross-functional team supporting Finance, HR, Sales, Operations, and Customer Success.
Top Skills:
AICpqHrisIntegration PlatformsSalesforceWorkato
Information Technology • Consulting
Lead analytics strategy and enterprise semantic/reporting layers across QuickSight/Tableau and Redshift/Athena. Partner with data engineering on domain models, enforce data quality/governance, optimize analytics performance/cost, mentor analysts, and communicate insights to executives.
Top Skills:
Amazon AthenaAmazon RedshiftAmazon S3Aws GlueConcurrency ScalingGithub CopilotOrcParquetPythonQuicksightRa3Redshift SpectrumSQLTableau
Information Technology • Software
The Senior Analytics Engineer will build and maintain data foundations for corporate reporting, translating business requirements into data models, ensuring consistent metric definitions and investigating data discrepancies for reliable reporting.
Top Skills:
BigQueryDbtFivetranHightouchLookerOmniSQL
Artificial Intelligence • Healthtech • Insurance • Software
Lead reporting and analysis across product, call center, and marketing; manage enrollment and revenue reconciliation; produce partner and carrier reports; analyze member engagement and plan performance to surface actionable insights.
Top Skills:
Ai ToolsData ModelingDbtLookerModePower BIPythonSQLTableau
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Information Technology • Analytics • Cybersecurity
Design, develop, maintain, and optimize ADABAS database structures and data solutions. Support mainframe data processing (Natural, COBOL, JCL), perform migrations to modern platforms, tune performance, ensure data integrity/security, troubleshoot issues, and collaborate with developers, architects, and analysts on modernization, API/cloud integration, and data warehousing initiatives.
Top Skills:
AdabasCobolJclSoftware Ag NaturalSQLTso/IspfZ/Os
Legal Tech • Software
Lead end-to-end FOIA data migration projects into RelativityOne, define and prioritize migration tooling, author requirements and runbooks, engage agency customers, ensure FedRAMP-compliant handling of DT1 data, and drive continuous improvement and product feedback.
Top Skills:
AzureCjisCloud StorageCsvFedrampFips 140-3FismaFoiaxpressGovqaJSONNist Sp 800-53PaladinPowershellPythonRelativityRelativityoneRest ApisSQLXML
Security
Design, build, and maintain end-to-end batch and streaming data pipelines on GCP. Migrate legacy warehouses to BigQuery/Bigtable/ClickHouse, orchestrate workflows in Airflow, ensure data quality and observability, and partner with ML engineers on feature pipelines, drift monitoring, and retraining.
Top Skills:
AirflowApache BeamBigQueryBigtableClickhouseCloud ComposerCloud StorageDataflowDatastreamDbtDebeziumDockerFeature StoreFlinkGCPGithub ActionsKafkaKubernetesPub/SubPythonSnowflakeSparkSQLVertex Ai
Information Technology • Marketing Tech • Consulting
Freelance analyst who examines complex spreadsheets, benchmarks, and research to identify trends, anomalies, and actionable insights; collaborates with writers, engineers, and strategists to translate data into persuasive marketing recommendations and deliver timely project outputs while working with minimal supervision.
Top Skills:
Data VisualizationSpreadsheets
Edtech • Information Technology • Social Impact • Software
Lead Imagine's global MEAL strategy, build high-performing country MEAL teams, ensure data governance and quality, develop dashboards and analyses, guide experimental design and reporting, translate insights for stakeholders, and strengthen organizational data literacy to improve program learning outcomes and operational effectiveness.
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