Top Data & Analytics Jobs

Build and maintain data pipelines to ingest, normalize, and deliver messy healthcare data (FHIR, HL7, CCDAs, PDFs) into structured models for AI and clinical use. Implement ETL, real-time webhooks, document extraction, PII sanitization, storage on AWS, and monitor data quality while ensuring compliance with healthcare interoperability standards.

Lead performance measurement and analysis for youth, foster care, and prevention programs. Supervise case record reviewers, produce reports, conduct quantitative and qualitative analyses, support incident and high-risk reviews, present findings, and partner with program leaders to improve operations and service delivery.

Designs and manages an enterprise data foundation supporting AI, analytics, and cloud applications. Responsibilities include building AWS ingestion and integration pipelines, managing S3 data lakes, developing QuickSight datasets, preparing data for Bedrock and RAG solutions, maintaining vector databases, and implementing metadata, lineage, governance, quality, and security controls. The role also develops APIs, supports SaaS application integrations, optimizes cloud storage, and collaborates with engineering, security, AI, and business intelligence teams.

Lead GIS project delivery and perform complex geospatial analyses supporting water, wastewater, stormwater, conveyance, asset management, digital solutions, and field data collection. Develop GIS-based decision-support tools, use Esri desktop and web applications, interact with clients, and help expand the company’s GIS group. Limited travel may be required.

Operate and improve data pipelines supporting construction equipment intelligence. Monitor scrapers and data feeds, diagnose failures, maintain quality gates, manage public-records acquisition and vendor relationships, and conduct SQL-based analysis for dealers and founders. Perform lead-quality reviews, document data sources, coordinate county outreach, and identify silent data failures. The role requires strong SQL, Python, spreadsheet, operational, communication, and AI-assisted workflow skills in an autonomous startup environment.

Leads database engineering across SQL Server, Oracle, MySQL, and PostgreSQL environments running in AWS and shipboard systems. Owns availability, disaster recovery, performance, security, patching, monitoring, lifecycle management, change governance, licensing, and technical roadmaps. Manages internal engineers and managed-service partners, provides incident escalation and technical mentorship, and partners with security, application, infrastructure, procurement, and vendors to ensure resilient, compliant, cost-effective database operations.

Leads advanced quantitative market research from client discovery through study design, analysis, interpretation, and recommendations. Establishes methodological and data-quality standards; designs segmentation, MaxDiff/conjoint, pricing, experimental, and longitudinal studies; evaluates sampling, weighting, statistics, and respondent quality. Leads senior client discussions, translates findings into business implications, partners with technical and execution teams, evaluates emerging research methods, and mentors researchers and analysts.

Designs and maintains scalable data pipelines, models, warehouses, lakehouses, and cloud-based data platforms. Builds ETL/ELT workflows, supports AI/ML data needs, implements data quality and governance controls, and manages batch and streaming integrations. Collaborates with technical and business teams to deliver reliable data solutions, troubleshoot infrastructure, and improve scalability, performance, and business value.

Owns and maintains organizing data systems, voter-contact tools, and organizational databases. Ensures data integrity through quality assurance, audits, standardized processes, documentation, and permission management. Supports organizers by troubleshooting tools, managing data requests, providing training, and improving workflows. Writes SQL queries in BigQuery, develops reports and visualizations, supports integrations, and collaborates with engineering and analytics teams on data models and priorities.

Supports business development and strategy through competitive research, market comparisons, business intelligence, and performance reporting. Analyzes gaming, tourism, hotel, and revenue data to evaluate markets, expansions, property opportunities, and competition. Maintains industry databases, prepares corporate and board reporting materials, and uses generative AI, automation, and analytical tools to improve research and workflow efficiency.