Top Hybrid Data & Analytics Jobs

Owns marketing performance reporting, KPI frameworks, attribution, funnel measurement, and dashboard development across digital channels. Builds and integrates web, CRM, sales, and customer datasets using SQL, Databricks, BigQuery, and visualization tools. Analyzes user behavior, campaign performance, conversion, retention, and revenue influence to recommend personalization and optimization strategies. Partners cross-functionally with Marketing, Sales, IT, Finance, and Data teams while ensuring data quality, privacy compliance, and consistent tracking taxonomies.

Collects, cleans, validates, and analyzes government and industry data. Develops recurring reports, dashboards, visualizations, briefing materials, and analytical summaries. Maintains databases and data documentation, supports data quality and governance, responds to data requests, and coordinates with government personnel on reporting priorities.

Develop and maintain Power BI and web application dashboards, semantic models, and ad hoc analyses for internal and external stakeholders. Use SQL, DAX, dbt, Snowflake, and data modeling best practices to support scalable analytics and reporting. Collaborate with senior team members, contribute to version control and project management processes, manage multiple priorities, and build expertise in private markets and firmwide analytics.

Build, deploy, and maintain reliable data infrastructure, including ingestion and ETL/ELT pipelines, data quality processes, warehouses, automation, orchestration, and lightweight data applications. Optimize data stack performance, document pipelines, and collaborate with analysts, data scientists, and stakeholders. Curate datasets supporting operational models, feature stores, and AI/ML workflows while continuously learning data engineering best practices.

Design, build, and optimize enterprise ETL/ELT pipelines, cloud data lakes, lakehouse solutions, data models, and semantic layers across AWS and Azure. Ensure data quality, security, performance, reliability, and governance while supporting analytics, reporting, and AI initiatives. Collaborate with product, engineering, IT, and business stakeholders to translate requirements into scalable data solutions, monitor pipeline health, troubleshoot issues, and improve data architecture and practices.

Design, build, and own scalable ETL pipelines, dashboards, and data quality processes. Troubleshoot discrepancies, expand the cloud data platform, implement CI/CD and IaC practices, and collaborate with stakeholders, developers, and data scientists to deliver BI solutions.

Drive mobile app growth through ad-hoc SQL analysis, dashboards, and BI tools; partner with CEO/CFO to provide insights, streamline ETL/ELT pipelines, and optimize user acquisition, retention, and monetization.

Owns PMO scorecards, executive dashboards, performance metrics, and recurring reporting. Consolidates and analyzes data from multiple systems, including Excel, Access, Planview, ERP platforms, and Power BI. Performs trend analysis, communicates insights to leadership, and identifies risks and improvement opportunities. Leads reporting automation, standardization, data-quality improvements, and scalable business intelligence solutions while collaborating with Program Management, Engineering, Finance, Operations, Procurement, Supply Chain, and leadership teams.

Lead design, development, and support of enterprise data integration solutions using Informatica IDMC. Build and optimize ETL/ELT pipelines, complex SQL, Salesforce and REST API integrations, and support CI/CD via Azure DevOps. Troubleshoot production issues, participate in code reviews, and translate business requirements into technical solutions.

Lead design and operation of a cloud-native data platform: set technical direction, build scalable ingestion/processing/warehousing pipelines (batch & streaming), support ML data needs, mentor engineers, drive projects end-to-end, run planning/standups/on-call, and eventually lead a data engineering team.