Top Data & Analytics Jobs

Own the end-to-end client reporting process, including report templates, data population, quality assurance, scheduling, documentation, and delivery. Build and maintain Looker Studio reports using data from analytics, advertising, CRM, and search platforms. Coordinate handoffs to channel specialists and account managers, identify data issues, and improve reporting efficiency through AI, automation, and standardized workflows.

Manages engineering data, machine option codes, configuration rules, and databases to ensure accuracy and compliance. Coordinates engineering quotation requests, tracks metrics, supports reporting and business intelligence initiatives, and improves product configuration processes. Collaborates with engineering and business teams as a technical resource, identifies data-quality opportunities, and proposes technical solutions. The role requires strong organization, analytical ability, communication skills, and familiarity with CPQ, SQL, reporting tools, CAD, and CNC machine technologies.

Analyzes and validates Plex manufacturing data, maintains system accuracy, monitors KPIs, inventory, orders, and production-planning metrics, and prepares weekly and monthly reports. Supports Plex troubleshooting, evaluates data updates affecting MRP, tracks corrective actions, improves supply-chain procedures, and helps develop work instructions. The role also provides training, supports compliance documentation, and guides planners using production and inventory insights.

Leads modernization of Lazard Asset Management’s data estate by defining enterprise data strategy, migrating legacy systems to a cloud-native platform, establishing DataOps, and delivering governed data products and APIs. The role owns architecture, security, regulatory controls, operational KPIs, AI-ready data, and production-safe migrations while building and mentoring a high-performing data engineering team.

Supports nonprofit program evaluation by analyzing outcomes, managing survey and participation data, monitoring metrics, preparing funder reports, and creating dashboards. The intern researches best practices in survey design and outcome measurement and collaborates with program leaders to use data to improve services and outreach. This is a hybrid, part-time spring internship requiring 16–24 hours weekly, with occasional travel to program sites.

Owns enterprise data quality, governance, metadata, lineage, and master data management across operational and analytical domains. Ensures data meets business, policy, regulatory, and contractual requirements; drives consistent metric definitions; oversees data issue resolution, compliance reviews, and quality standards throughout the data supply chain. Partners with business stakeholders, IT, engineering, risk, and compliance teams, and provides training on appropriate data usage.

Own data strategy for a business unit, ensuring data readiness for AI initiatives. Assess data quality, accessibility, lineage, and suitability; partner with engineering teams on data preparation, transformation, ontology design, and knowledge-base construction. Define data roadmaps, integration priorities, governance frameworks, and quality standards for AI and agentic workflows. Translate strategy and technical trade-offs for executives and cross-functional teams.

Maintains and standardizes Plex manufacturing data, monitors KPI and inventory metrics, analyzes order and supply chain performance, prepares recurring reports, supports MRP/PRP accuracy, improves data processes, develops work instructions, and tracks departmental action items and corrective measures.

Analyzes syndicated, customer, shipment, and market data to deliver category, consumer, trade, pricing, and promotional insights. Develops reporting solutions, business reviews, selling stories, and strategic recommendations for clients and sales teams. Manages analytics projects, maintains data integrity, improves reporting processes, and mentors junior analysts while serving as a subject matter expert in category insights.

Supports CRM, data management, BIO, and business teams by assessing impacts, documenting implementation-ready requirements, resolving dependencies, and prioritizing delivery. Performs data profiling, discrepancy investigation, mapping validation, reporting impact analysis, and business-rule documentation. Facilitates stakeholders, coordinates delivery, and works with Salesforce and Veeva Vault CRM specialists using SQL, Python, Jira, and Confluence.