Top Hybrid Data & Analytics Jobs

Designs and implements an enterprise data governance framework, establishes standards and stewardship, leads data cleanup, ensures compliance with financial regulations, integrates governance into agile data products, and trains stakeholders to drive data quality and democratization.

Support RevOps by building and maintaining dashboards, ensuring revenue data accuracy, preparing executive and Board reporting, conducting ad hoc analyses, identifying data quality issues, and communicating insights to technical and non-technical stakeholders.

The Senior Business Systems Analyst will optimize GTM systems, focusing on Salesforce, ensuring data quality and user experience for Sales, Marketing, and Customer Success teams. Responsibilities include managing system access, troubleshooting, and collaborating on process improvements.

Design and implement cloud-native Azure data architectures, data models, ELT processes, governance, and security. Collaborate with engineering, BI, and data science teams to optimize pipelines, ensure data quality, document designs, and support system stabilization for analytics and operational use cases.

Monitor and maintain data platform operations (Snowflake, SQL Server, Tableau), detect and escalate data issues, support pipeline and replication health, document procedures, and collaborate with Engineering on root cause analysis.

Implement and enforce data governance, manage data cataloging and metadata, facilitate Atlan adoption, align data models with analytics needs, manage controls and audits, mentor junior staff, and resolve data quality issues while collaborating with business and engineering teams.

Execute and validate data migrations into Salesforce from multiple sources, transform and reconcile datasets, troubleshoot integrity issues, document migration steps for auditability, and support post-migration data hygiene in collaboration with Operations, Analytics, and Engineering.

Validate and QA BI deliverables against user acceptance criteria; develop test and regression plans; translate business requests into technical requirements; collaborate with data engineers, analysts, and stakeholders; manage ticketing/intake and maintain BI/SDLC documentation.

As a Quantitative Research Intern, you'll develop and implement trading strategies, manage trades, optimize algorithms, and analyze market conditions in cryptocurrency and US equities.

Manage ETL processes, integrate data, optimize databases, and ensure data quality for analytics, supporting operations and maintenance projects.