Top Senior Data & Analytics Jobs

Designs, builds, automates, and optimizes enterprise cloud data pipelines and platforms. Responsibilities include ETL/ELT, DataOps, CI/CD, data migration, data modeling, data warehousing, lakehouse architecture, database administration, performance tuning, and production support. The role uses Databricks, Azure services, PySpark, SQL, and multiple cloud platforms to deliver scalable structured and unstructured data solutions.

Manage the County’s GIS program, including enterprise GIS administration, geospatial data governance, mapping, spatial analysis, web applications, and system integration. Coordinate GIS projects across departments and external partners, maintain ArcGIS and SQL Server environments, develop Python and web-based tools, support NG911 data, and provide technical leadership, training, and helpdesk assistance.

Lead global marketing analytics by building standardized dashboards, reporting frameworks, data governance processes, and attribution models. Analyze omni-channel campaign performance across digital, social, influencer, e-commerce, and experiential channels. Translate complex findings into executive recommendations that guide marketing investment, budget allocation, channel mix, and ROI optimization. Partner with marketing, sales, finance, data science, and IT teams while advancing predictive analytics, AI/ML, and real-time performance tracking.

Develop Power BI reports, dashboards, dimensional data models, and optimized reporting solutions. Extract and transform data using SQL, DAX, and M, while gathering business requirements and supporting data collection processes. The role also requires C#/.NET microservice development, SQL Server engineering, Docker and Kubernetes familiarity, GitHub Actions CI/CD, production troubleshooting, and application support. Experience with Power Platform, React, APIs, automated testing, cloud platforms, and construction or semiconductor construction is valuable.

Build and maintain high-performance data lakehouse infrastructure, including Apache Iceberg maintenance workflows, compaction, snapshot expiry, manifest rewriting, and orphan file cleanup. Develop Rust-based SQL routing components, connectors, and query infrastructure. Ensure data integrity under concurrency and failures, contribute to open-source projects, operate production systems, participate in on-call support, and debug customer environments.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

Analyze marketing performance and ROI across markets, identify expansion opportunities, evaluate market saturation and competition, and support investment decisions. The role requires advanced SQL, funnel analysis, dashboard development, multi-source data integration, statistical reasoning, and clear communication of recommendations to marketing and leadership. The analyst will also use AI tools such as Claude and partner with data engineering to improve data quality and decision support.

Develop and manage enterprise data pipelines and dbt transformations in Snowflake, from source ingestion through data marts. Responsibilities include data integration, modeling, testing, observability, security, performance tuning, troubleshooting, documentation, metadata management, and architecture. The role collaborates with technical and business stakeholders to deliver reliable, governed, high-quality data products and continuously improve the data platform.

Design, build, optimize, and maintain scalable data pipelines, APIs, and microservices for high-volume regulatory datasets. Ensure data quality through automated testing, monitoring, and validation; contribute to platform architecture; integrate with NLP/ML services and ELK; support production deployments and incidents; and collaborate with Engineering and Product teams. Mentor engineers, participate in code reviews, and provide technical guidance.

Analyze corrections and parole administrative data using SQL and Python, model policy scenarios, quantify tradeoffs, and communicate findings to criminal justice decision-makers. The role owns analytical projects end to end, from scoping and strategy through modeling, stakeholder materials, and implementation support. Analysts collaborate with state partners, identify opportunities for further analysis, and develop reusable analytical frameworks to influence policy reforms.