Top Data & Analytics Jobs

Build and maintain production data pipelines that transform robot logs and telemetry into reliable, queryable datasets. Design Spark-based ETL workflows, orchestrate processing with Airflow or similar tools, manage gold-layer datasets, and implement data quality, schema evolution, monitoring, and metadata practices. Collaborate with robotics, hardware, reliability, analytics, and ML teams on data modeling, fleet insights, debugging, and root-cause analysis. The role may also contribute to Python, Java, or C++ libraries supporting data capture and consumption.

Performs complex property appraisal and reappraisal analysis for residential, commercial, and industrial properties. Develops and refines valuation models, audits parcel and sales data, analyzes market trends, and supports countywide property reevaluations. Provides technical guidance to appraisal staff, assists with software and procedure development, responds to public inquiries, and resolves assessment appeals before review boards. The role also requires data validation, statistical analysis, staff coordination, public presentations, and occasional site visits.

Design and build petabyte-scale data pipelines for genomic and imaging data, transforming public and proprietary datasets into AI-ready training data. Develop agent-based curation and quality-control systems, data cataloging tools, and reliable observable infrastructure. Collaborate with AI researchers and scientists to define data requirements and integrate diverse biological datasets while addressing performance, bandwidth, scalability, and scientific correctness.

Develop and lead operational analytics, monitoring, metrics, and automation initiatives for enterprise applications and infrastructure. Build Splunk dashboards, reports, alerts, and advanced SPL queries; analyze logs, APIs, errors, and operational trends; establish KPIs; and translate findings into actionable recommendations. Create automation using Python, Shell/Bash, and Java to streamline reporting, troubleshooting, and data processing. Collaborate with development, infrastructure, operations, and business teams while improving reliability, monitoring coverage, and incident response.

Build dbt models, dashboards, and reporting that support marketing attribution, conversion, engagement, and acquisition decisions. Partner with growth and lifecycle marketing, ensure reliable customer engagement platform data, investigate business questions, and translate analysis into recommendations. The role also contributes to data tooling, infrastructure, measurement frameworks, and future team growth.

Owns enterprise data initiatives from requirements discovery through delivery, including project planning, stakeholder alignment, agile execution, data analysis, metadata management, data quality, governance, and issue remediation. The role uses SQL and Excel to profile and validate data, defines business rules and data elements, supports data modeling, tracks delivery metrics, and communicates findings to technical, business, and executive stakeholders.

Leads commercial data and reporting processes, develops Power BI dashboards and recurring reports, analyzes revenue, pricing, margin, customer, product, and market data, and delivers insights for growth decisions. Partners with Sales, Commercial Finance, IT, and data teams to define KPIs, translate requirements, reconcile data, automate reporting, support technical delivery, and drive stakeholder adoption.

Build and maintain scalable ETL/ELT pipelines, data models, validation, monitoring, and analytics assets. Partner with business stakeholders to define requirements and metrics, troubleshoot production issues, support tool migrations, and improve data reliability. Develop tested, documented solutions and support conversational analytics applications. Participate in code reviews, on-call rotation, training, and self-service data enablement.

Manages master data, validates data quality, analyzes information from multiple sources, develops statistical models, and creates reports and dashboards. Troubleshoots reporting databases, supports data integrity and normalization, translates reporting requirements, assists with software implementation, and trains end users. The role requires strong analytical, communication, database, reporting, and stakeholder-support skills.

Builds and maintains data pipelines, ETL/ELT processes, data warehouses, BI systems, and data governance practices. Integrates structured and unstructured data, ensures data quality and security, monitors workflows, optimizes queries and data structures, and translates business requirements into technical solutions. Collaborates with analysts, engineers, data scientists, product teams, and stakeholders to provide reliable data infrastructure and actionable insights.