Top Data & Analytics Jobs

Own the analytics roadmap, data platform, semantic models, customer-facing analytics, and AI-native analytics agents. Partner with cross-functional leaders to establish trusted metrics, improve operational and patient-access insights, and deliver data products that drive measurable outcomes. Strengthen dbt and Snowflake foundations, create governed self-service workflows, and provide technical mentorship as the analytics function grows.

Organize and curate large volumes of raw information: extract key points from transcripts, maintain clean spreadsheets, curate links/resources, tag and categorize content, and follow or propose systems for information structure. Part-time remote role with initial 10 hours/week and potential to grow.

Develops maintenance training metrics covering schedule execution, student feedback, training impact, and return on investment. Analyzes survey responses, identifies trends, and recommends schedule, curriculum, and process improvements. Prepares summary reports and presentations for program reviews and staff knowledge support. Requires five years of data analysis experience supporting complex projects, database design experience, Microsoft Office proficiency, U.S. citizenship, and eligibility for a Secret clearance.

Leads advanced business analytics across Commercial, Finance, and Operations. Builds scalable solutions using SQL, Python, Snowflake, Tableau, and Power BI; performs forecasting, statistical analysis, segmentation, predictive modeling, and exploratory analysis. Develops semantic models, KPI frameworks, data governance practices, and reusable datasets while improving data quality and pipelines. Partners with leadership and technical teams to translate complex data into actionable insights, automate decision support, and influence strategic business outcomes.

The Business Analyst gathers and documents business and functional requirements, analyzes workflows, creates user stories and process diagrams, and translates stakeholder needs into buildable solutions. The role partners with Product, Engineering, QA, clients, and leadership throughout the product lifecycle, supporting backlog refinement, UAT, implementations, training, and feature rollouts. The analyst also identifies process gaps, risks, dependencies, and automation opportunities while maintaining accurate product and workflow documentation.

Leads the architecture, governance, modeling, and evolution of investment data platforms. Designs Snowflake structures, semantic layers, data products, metadata frameworks, quality controls, and AI-ready data foundations supporting portfolio management, research, trading, risk, reporting, and analytics. Partners with investment and technology stakeholders, documents architecture, establishes standards, and enables governed self-service and intelligent data consumption.

Build and oversee reliable ETL/ELT pipelines and data products that transform complex customer data into trusted analyses, visualizations, quality reports, and AI-powered insights. Responsibilities include data exploration, quality control, anomaly detection, AI/ML output evaluation, customer collaboration, documentation, and improving data-cleaning and analytics tools. The role requires cross-functional work in an Agile environment focused on security, data integrity, and clear communication.

Performs geospatial workflows using GIS, CAD, remote sensing, imagery, LiDAR, and surveying technologies. Develops and distributes vector datasets, aerial imagery, LiDAR products, and other high-quality geospatial data. Responsibilities include imagery preprocessing, feature digitization, LiDAR classification, metadata support, project reporting, geodatabase management, and advising on geospatial standards. Works independently and collaboratively to solve geospatial problems and maintain accurate data products.

Provides first-line BI support for tickets, emails, and incidents across business divisions. Designs, builds, and supports Power BI reports; triages stakeholder issues; manages SLAs; performs minor enhancements and bug fixes; communicates support performance; collaborates with IT teams; and identifies automation and process-improvement opportunities.

The Azure Senior FinOps Engineer optimizes cloud spending, manages Azure services, tracks financial performance, and supports application teams with data-driven insights.