Top Data & Analytics Jobs

Conduct market and competitor research, monitor industry trends, compile biographical and strategic profiles, and produce partner-ready reports and briefings using legal research platforms to surface business opportunities and support pitches for attorneys and firm leadership.

Build and maintain SQL and dbt-style data models, metric definitions, semantic-layer datasets, dashboards, and reports. Monitor data quality, investigate discrepancies, document analytics workflows, and support experimentation and performance measurement. Collaborate with stakeholders, analysts, and data teams to deliver reliable self-service analytics solutions and translate data into business and marketing recommendations. The role is designed for an early-career analytics engineer developing expertise in data modeling, visualization, and analytics engineering.

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.

Design, administer, secure, and optimize MongoDB and relational database environments for a federal client. Responsibilities include schema and data modeling, high-availability configuration, performance tuning, backup and disaster recovery, security compliance, automation with scripting and IaC tools, Linux administration, and collaboration with Agile Scrum teams. The role requires hands-on MongoDB engineering, database architecture expertise, and experience supporting regulated environments.

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.

Leads data analysis and reporting for Program Management by collecting, validating, interpreting, and presenting business and program data. Identifies trends, risks, discrepancies, and improvement opportunities; develops recurring reports and performance measures; communicates findings to leadership; and supports cross-functional initiatives. The role independently manages analytical assignments, improves reporting processes, and provides recommendations that support program performance and organizational decisions.

Build governed data models, tested analytics transformation layers, ETL pipelines, semantic datasets, and AI-ready data workflows. Partner with analysts, developers, and domain experts to define metrics, schemas, documentation, lineage, and validation frameworks. Support ML features, retrieval pipelines, unstructured data, and LLM output benchmarking while applying software engineering, compliance, and performance standards.

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.