Top Data & Analytics Jobs

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.

Owns go-to-market analytics across Marketing, Sales, and Revenue Operations, covering the full funnel from acquisition through revenue. Builds dashboards and analytical solutions, identifies performance drivers and growth opportunities, conducts deep-dive analyses, and translates complex data into actionable recommendations for senior leaders. Partners with RevOps, Finance, Marketing Operations, and Data Engineering to improve measurement and data quality while using AI tools to accelerate analysis and automation.

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.

Analyze contributor performance, dataset quality, production efficiency, and client delivery metrics. Build dashboards and reports, conduct cohort and trend analysis, monitor quality benchmarks, identify data integrity issues, and translate findings into actionable recommendations. Collaborate with Data Operations, Engineering, Product, and Quality Assurance teams to define metrics and evaluate improvements.

Develop and support BigQuery solutions for a large-scale Big Data project using Looker and Google Cloud Platform. Collaborate with experienced GCP engineers on a highly visible client project. The role is fully remote within the United States, with preference for West Coast candidates.

Supports end-to-end market research projects, including questionnaire and discussion guide development, data collection, quality control, analysis, visualization, reporting, and client-ready deliverables. Collaborates with internal teams and subcontractors while developing expertise in quantitative and qualitative research methodologies, software, and technology platforms. The role requires strong communication, analytical thinking, organization, attention to detail, and eagerness to learn.

Leads data engineering teams responsible for designing, developing, and maintaining scalable data systems, integrations, pipelines, warehouses, and governance solutions. Provides technical leadership, mentorship, architecture guidance, and cross-functional coordination to meet business requirements, service-level agreements, compliance standards, and operational goals. Evaluates emerging technologies and oversees internal and outsourced resources supporting master data management, analytics, data warehousing, and enterprise information systems.

Designs and maintains scalable data architecture, warehouses, ETL/ELT pipelines, and data platforms. Responsibilities include ensuring data quality, integrity, governance, accessibility, reliability, and performance; supporting customer onboarding and analytics tools; contributing to architecture and engineering best practices; troubleshooting complex data issues; and participating in on-call rotations. The role collaborates with engineering, product, solutions, business intelligence, and other cross-functional teams in healthcare and social care data environments.

Owns the Digital team’s data foundation, BI ecosystem, and performance measurement framework. Designs data pipelines, ETL/ELT processes, governed datasets, semantic models, dashboards, KPI frameworks, and executive reporting. Develops financial models, supports experimentation and AI-enabled analytics, and translates customer, operational, and financial data into actionable growth recommendations. Serves as the subject matter expert for data governance, metric definitions, reporting quality, and analytics best practices while partnering with senior leaders and cross-functional teams.