Top Data & Analytics Jobs

Lead design, development, and support of enterprise data management solutions including data modeling, ETL, warehousing, and data quality. Partner with data owners, stewards, technology and business stakeholders to resolve data issues, enable trusted data for Credit Risk, and mentor others while working with very large datasets and big data technologies.

Design, build, and operate ingestion and transformation pipelines into Salesforce Data Cloud; model and resolve identities; integrate enrichment sources and Databricks; ensure data quality, governance, and documentation to support analytics and Agentforce AI agents.

Design and maintain scalable data pipelines and unified data models for marketing measurement. Build BI dashboards, reporting frameworks, and semantic layers. Implement data governance, quality checks, and anomaly detection. Perform measurement, attribution, forecasting, and audience segmentation. Support AI-enabled and conversational analytics, generate automated insights, and present findings to stakeholders.

Lead and manage a team of data analysts to deliver predictive analytics, dashboards, and data-driven insights that align with business objectives. Drive process improvements, ensure data quality and reporting accuracy, collaborate cross-functionally, and mentor analysts while overseeing KPIs and analytics-driven initiatives in a regulated environment.

Analyze large IT datasets to uncover trends, prepare and clean data for analysis, build BI visualizations and reports, translate insights into recommendations, and advise stakeholders. Collaborate cross-functionally to scope projects, communicate findings to technical and non-technical audiences, and drive data-driven decision making.

Customer-facing specialist guiding enterprise cloud data engineering and lakehouse transformations. Architect and optimize large-scale data pipelines, perform performance and load testing, support pre-sales POCs and workload sizing, lead adoption workshops, and mentor peers to drive Databricks platform adoption.

Partner with commercial leadership to analyze programmatic marketplace and sales datasets, build automated dashboards and reports, audit pipeline health in Salesforce, reconcile variable compensation, model margins and rate cards, and deliver weekly variance analyses and pacing models to drive revenue decisions.

Design and maintain Microsoft Fabric data pipelines and Delta Lake-based Medallion architectures. Build dimensional models for revenue analytics, optimize Power BI semantic models and Direct Lake performance, implement ingestion patterns and monitoring to meet SLAs, collaborate with BI teams, follow SDLC/Git CI practices, and deliver scalable, reusable data structures for client-facing analytics.

Provide data analysis and BI support within a data warehouse team: design data structures, develop systems and interfaces, write SQL and Cognos reports/dashboards, validate and document data, and support customers through troubleshooting, requirements gathering, and problem resolution.

Design and implement secure, high-performance ETL/ELT and cloud-native data platforms using Microsoft Fabric and Azure. Perform root-cause analysis, build KPI dashboards and visualizations in Power BI, promote data governance, define business rules, mentor data engineers, and collaborate with architects and stakeholders to deliver scalable analytics solutions.