Top Data & Analytics Jobs

Lead enterprise data architecture strategy and modernization across Microsoft Fabric, Azure, OneLake, lakehouses, warehouses, and integration platforms. Establish standards for modeling, ETL/ELT, governance, security, metadata, lineage, and data quality. Define AI-ready architecture patterns, lead architecture reviews, mentor engineers, and create reusable reference architectures. Drive migration from legacy platforms to Microsoft Fabric while promoting specification-driven development and scalable analytics, reporting, operational intelligence, and AI capabilities.

Analyzes contact center call volume, staffing, schedule adherence, and performance metrics to support KPI achievement. Monitors real-time staffing and agent adherence, manages workforce management systems, optimizes schedules and PTO allowances, and prepares reports and recommendations for leadership. Maintains Alvaria and NiCE CMS data, supports workforce planning processes, trains new hires on systems, and collaborates with contact center managers to improve efficiency and agent satisfaction.

Manages analysts and leads marketing analytics for digital and offline media channels. Develops measurement plans, experiments, dashboards, campaign reports, and optimization insights using marketing data. Presents recommendations to clients, supports media planning and new business pitches, ensures reporting accuracy, and advances analytics workflows through AI-enabled tools and automation. Requires strong web, social, SEM, dashboard, statistical programming, and marketing measurement expertise.

Partners with data product owners, technical teams, and business stakeholders to identify data and analytics needs, define requirements, create user stories and acceptance criteria, and support backlog prioritization. Manages analytics support requests, investigates recurring issues and root causes, maintains legacy-report inventories, and recommends modernization and data-quality improvements. Supports adoption through documentation, training, communications, and outcome measurement while helping transition users to governed data products and self-service technologies.

Leads Zoetis’s R&D data and digital transformation, including data engineering, analytics, AI/ML, product management, governance, architecture, and digital laboratory platforms. Owns the R&D digital strategy, roadmap, and delivery of $30M+ programs across discovery through regulatory submission. Builds high-performing teams, establishes compliant data ecosystems, integrates ELN/LIMS workflows, manages vendors and operating models, and drives measurable improvements in data quality, reuse, scientific productivity, and portfolio decisions.

Design, build, and maintain scalable data pipelines, ETL/ELT processes, enterprise data platforms, data models, and integrations. Ensure data quality, governance, security, performance, and reliability while supporting analytics, reporting, and business intelligence. Collaborate with stakeholders and technical teams to translate business needs into data solutions, modernize platforms, automate processes, and evaluate emerging technologies.

Develop Power BI dashboards, reports, data models, and visualizations, while building Power Apps applications and Power Automate workflows to automate business processes. Gather requirements from stakeholders, integrate Dataverse, SQL Server, SharePoint, and other data sources, troubleshoot solutions, optimize reporting performance, analyze KPIs, and present insights to management. Provide ongoing support to business and finance stakeholders.

Manages client, compliance, and performance reporting across healthcare programs using eligibility and claims data. Leads reporting analysts while remaining hands-on with advanced SQL, dashboards, data crosswalks, validation, reconciliation, root-cause analysis, and data-quality monitoring. Partners with data engineering and clients to resolve upstream issues, establish reporting standards, and guide the analytics roadmap.

Leads enterprise clinical terminology, ontology strategy, semantic normalization, reference data, value sets, and clinical concept governance. Owns terminology services, mapping workflows, data quality rules, ontology documentation, and lifecycle management. Partners with engineering, product, clinical, and analytics teams to improve healthcare data fidelity and support real-world data products, pipeline modernization, and knowledge graph initiatives.

Research, digitize, process, and maintain utility-related spatial datasets and geodatabases. Use ArcGIS Pro, QGIS, SQL, and ETL workflows to improve data accuracy, perform QA/QC, interpret maps and drawings, and support internal and external stakeholders. Collaborate with research coordinators and project managers while independently managing detailed GIS work in a hybrid environment.