Top Data & Analytics Jobs

Conducts QA/QC and detailed analysis of lidar, imagery, elevation, hydrography, terrain, and other geospatial products. Creates derivative data, reports, metadata, documentation, and process improvements; trains junior staff; leads quality meetings; coordinates analysts; represents quality teams with clients; and supports project scope, budget, and resource estimates.

Designs, deploys, and optimizes production-grade data infrastructure, ETL/ELT pipelines, distributed databases, streaming systems, vector databases, APIs, and feature stores for AI and machine learning applications. The role also implements data quality, observability, lineage, testing, compliance, and secure cloud-native deployments. As a forward-deployed engineer, the employee partners directly with customers, prototypes solutions, transitions them to production, and feeds field learnings into platform improvements.

Lead and manage a team building and operating enterprise data pipelines, warehousing, and integration solutions. Oversee data architecture, ETL, data quality, governance, BI support, vendor selection, and cross-functional collaboration to ensure reliable, scalable, and secure data for business reporting and decision-making.

Leads BI, analytics, and AI initiatives that transform energy market and customer data into dashboards, automated insights, predictive analyses, and strategic recommendations. The role supports pricing, acquisition, retention, marketing, finance, and customer experience decisions through Python, SQL, Tableau, Power BI, generative BI, experimentation, and machine learning. Responsibilities include building executive reporting, evaluating AI-enhanced BI platforms, analyzing customer lifecycle performance, mentoring analysts, and partnering with cross-functional business and technical teams.

Analyzes, cleanses, maps, transforms, reconciles, and validates data throughout enterprise migration projects. Supports ERP implementations, mock loads, testing, cutover planning, production deployments, and troubleshooting. Develops data-quality metrics, mapping specifications, reconciliation reports, and business controls while collaborating with stakeholders, consultants, developers, and project managers. Communicates risks and recommends improvements to data governance and migration procedures.

The Senior Business Analyst will identify and implement AI-driven process improvements, build AI-powered workflows and automations, and collaborate with engineering on LLM-based document review and data extraction. Responsibilities include integrating internal systems, developing prompts, creating reusable tools, building dashboards and operational reports, querying Redshift with SQL, monitoring automation performance, and recommending emerging AI solutions to improve efficiency and decision-making.

Own the reporting and data capability for an Engineering Transformation Programme. Integrate engineering, workforce, product, and programme data; define metrics frameworks; build executive dashboards; establish reliable data pipelines; identify trends and data quality issues; and translate stakeholder needs into trusted, actionable insights. The role supports engineering leaders and may expand into self-service reporting, quality signals, and long-term Engineering Operations data strategy.

Report multiple data-driven stories weekly using public records, live data, and AI-assisted workflows. Responsibilities include scraping, cleaning, analyzing, and verifying datasets; building visualizations, interactive maps, lookup tools, and dashboards; interviewing sources; publishing across digital channels; and collaborating with newsroom teams. The role requires careful human review of AI-assisted work, strong journalistic ethics, deadline management, and the ability to translate complex data into engaging stories for New Jersey readers.

Analyzes business functions, workflows, operational needs, and technology systems to recommend improvements. Defines project requirements, milestones, budgets, and teams; monitors progress, resolves issues, and reports status. Acts as a liaison between business stakeholders and clients while supporting timely project completion and business benefits across billing, production, workflow, and customer relationship management.

Supports enterprise reporting and analytics across commercial and operational functions. Develops Power BI dashboards, prepares and validates data, standardizes reporting, documents requirements and business logic, troubleshoots discrepancies, automates recurring processes, and fulfills ad hoc requests. Collaborates with stakeholders and a Lead Analyst across product management, sales, pricing, supply chain, manufacturing, and marketing.