Top Data & Analytics Jobs

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.

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.

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.

Generates and analyzes contact center workforce reports, identifies trends and anomalies, and presents insights to internal and external stakeholders. Manages real-time workforce scheduling for phone and non-phone work, supporting service-level and abandonment goals. Maintains data quality, privacy, compliance, and reporting documentation; enhances analytics tools and metrics; troubleshoots workflow issues; and supports software training and operations teams.

Owns Care.com's Voice of the Customer program, analyzing large-scale survey, review, account-management, and contact-center feedback. Leads a VOC Insights Analyst and translates quantitative and qualitative findings into actionable recommendations for Product, Design, Operations, and other stakeholders. Oversees NPS, CSAT, and customer-effort measurement frameworks, survey methodology, taxonomy, reporting, and program expansion. Uses AI and text analytics to identify themes and trends, influence roadmaps, and improve member experiences.

Own the analytics engineering roadmap, architecture, and production data models. Build and optimize dbt models using SQL, Python, and Databricks; establish dimensional models, governed metrics, testing, documentation, lineage, monitoring, and CI/CD practices. Partner with data engineering, analysts, BI developers, and stakeholders to deliver reliable analytics products, improve performance and cost efficiency, investigate data quality issues, and mentor team members.