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.

Analyze and model property catastrophe reinsurance treaties using catastrophe modeling platforms. Prepare and validate exposure data, execute models, interpret risk metrics, develop scenarios, and identify portfolio risk drivers. Support underwriting, actuarial pricing, placement, renewals, and management decisions through clear reporting. Participate in model validation, calibration, research, and development while collaborating with underwriters, actuaries, and other stakeholders.

Design, implement, and optimize large-scale data processing on Databricks and Spark. Build ETL pipelines, integrate data across AWS services (Redshift, RDS), orchestrate workflows with Airflow, and ensure data warehousing and engineering best practices. Lead and mentor development teams and collaborate with cross-functional stakeholders to drive data strategy and execution.

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.

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.

Supports People Analytics initiatives by collecting, validating, analyzing, and visualizing workforce data. Develops dashboards, reports, scorecards, and AI-enhanced analytics solutions; prepares data, maintains quality, and communicates insights to HR and business leaders. Collaborates with HRIS, Talent Acquisition, and global stakeholders on reporting automation and HR technology improvements while protecting data privacy and confidentiality.

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.

Manages analytics and reporting teams supporting financial and operational decisions. Oversees reporting consistency, process improvement, automation, data interpretation, quality initiatives, and strategic executive reporting. Leads team training, collaborates with departmental leaders, and partners with account teams to deliver client recommendations. Requires healthcare operations and claims-data expertise, supervisory experience, and proficiency with Excel, Access, VBA, Crystal Reports, T-SQL, SSMS, and SSRS.