Top Data & Analytics Jobs

Design, build, and maintain batch and streaming data pipelines; ingest, transform, and optimize data for analytics and BI; ensure data quality, reliability, and performance; implement monitoring/alerting; support MLOps and analytics workloads; collaborate with data scientists and BI teams; document AI systems and RAG/Cortex-based solutions.

Supports an enterprise data governance program by establishing governance standards, maintaining data dictionaries and metadata repositories, defining data quality rules, documenting lineage, conducting profiling and validation, and creating governance dashboards. The role partners with business and technical stakeholders across AWS and Snowflake environments and supports data classification, retention, and lifecycle management initiatives.

Design and operate a scalable data platform for high-volume robotics telemetry and control-plane data. Responsibilities include data capture, storage tiers, ingestion, transformation engines, durable processing, schema and ID-key management, retention and egress policies, replication, CI/CD, monitoring, and alerting. The role supports cloud, on-premises, edge, and outage-resilient deployments while enabling downstream analytics and machine learning.

Designs, produces, and maintains recurring and ad hoc reports and dashboards for Client Relations. Analyzes data, identifies trends, ensures reporting accuracy, recommends process improvements, and supports data-driven decisions. The role also provides customer support, assists with system enhancements and QA/UAT activities, presents findings to stakeholders, and manages multiple deadlines with limited supervision.

Supports institutional research through data reporting, analytics, database and report maintenance, data requests, and state and federal submissions. Develops and validates reports, resolves data issues, and provides analytical and technical support for surveys, accreditation, grants, and strategic initiatives. Collaborates with college departments to ensure data accuracy and reporting compliance.

Supports revenue operations, sales leadership, finance, and executives through dashboards, KPI reporting, quantitative models, sales compensation administration, forecasts, and operational insights. Builds SQL and Excel models, maintains datasets and ETL pipelines, develops Power BI visualizations, identifies performance trends, manages commission cycles, and coordinates targets and reporting with Finance and IT.

Own Double E’s data lake and improve data integrity by building ETL pipelines, data models, integrations, and reporting solutions. Manage Azure SQL and Power BI, consolidate ERP and CRM data across global offices, establish governance and documentation standards, and translate business needs into reliable, scalable data infrastructure. The role partners with technical and business stakeholders and supports modernization, system connectivity, and analytics initiatives.

Conducts deep-dive market analyses covering supply, demand, pricing, competition, regulation, and growth trends. Builds market models, forecasts, dashboards, and executive presentations from public, industry, customer, and internal data. Identifies strategic opportunities, risks, sustainability impacts, and value creation possibilities, then communicates recommendations to senior leadership. The role serves as commercial-team bench strength with a potential path into account management.

Lead Zip’s Business Intelligence and GTM Data Science functions, establishing enterprise data strategy, governed semantic models, dashboards, executive reporting, and AI-ready data foundations. Partner with Finance, Revenue Operations, Product Data Engineering, and GTM teams to create a single source of truth for SaaS metrics. Build and lead a high-performing team of analytics engineers, BI developers, and data analysts while supporting executive, board, and investor decision-making.

Leads qualitative and quantitative market research to uncover customer, market, competitive, and healthcare insights. Designs and manages studies, analyzes data using statistical and AI-assisted tools, develops reports and dashboards, presents recommendations, maintains research quality, and coordinates external partners. Collaborates with product, engineering, sales, marketing, and customer success teams to influence product strategy, growth, innovation, and customer experience initiatives.