Top Data & Analytics Jobs

Develops and maintains digital platforms, analytical models, dashboards, and workflows supporting FCC technical services, commercial activities, catalyst optimization, customer monitoring, and performance tracking. Collaborates with IT, data engineering, R&D, technical, and commercial teams to integrate FCC expertise with scalable digital systems. Provides data-backed customer assessments, standardizes global processes, and trains teams on digital tools and analytical methods.

Own data ingestion, transformation, exchange, and integration workflows between K–12 Student Information Systems and Timely’s scheduling platform. Ensure pipeline accuracy, security, reliability, and scalability while collaborating with engineering, product, customer success, district IT teams, and SIS vendors. Develop documentation, process improvements, automation scripts, and lightweight Python tools; lead discovery for new SIS integrations and help scale the data integrations function.

Analyze business performance, develop hypotheses, answer critical business questions, and build dashboards and reports in Sigma. Support budgeting, forecasting, data quality checks, and reconciliations while partnering with teams across growth, product, insurance, finance, and leadership. Serve as a trusted data advisor by answering metric and reporting questions and promoting data-driven decision-making.

Analyze instrumentation sensor data from operating nuclear power plants using AMS’s Online Monitoring methodology. Identify trends, anomalies, and potential equipment issues; prepare technical and licensing reports; support field data acquisition, plant-trip activities, software quality assurance testing, and documentation. The role includes training in nuclear instrumentation, proprietary software, regulatory requirements, quality processes, and technical reporting, with opportunities to develop into an independent technical contributor.

The role involves leading AML reporting efforts, improving data governance, ensuring data quality, and managing a team of analysts to deliver insights through dashboards and reporting.

Analyze entertainment and media datasets, including ratings, viewership, social media, and consumer research data. Create reports, presentations, and compelling data narratives for negotiations, client growth, and executive stakeholders. Maintain and improve analytics tools, deliver recurring reports, and communicate actionable insights. Collaborate across multidisciplinary teams while managing multiple deadlines and supporting process improvements.

Build Imprint’s data storytelling function from the ground up. Mine payments, merchant, and card-member data using SQL, dbt, Python, and statistical analysis; identify and publish rigorous, compelling stories; maintain reproducible analytical infrastructure; establish narrative strategy and publishing cadence; and collaborate with communications, marketing, product, data science, and leadership.

Owns the analytics layer between curated enterprise data and business users. Builds governed Gold-layer data products, dimensional models, Power BI semantic models, standardized metrics, and reusable data assets. Implements Unity Catalog governance, metadata, lineage, security, quality monitoring, reconciliation, and deployment controls. Partners with analysts, business owners, IT, data stewards, and AI engineers to deliver trusted, documented data for self-service analytics and AI consumption.

Build and operate governed data pipelines using Microsoft Fabric, Azure, Python, PySpark, Spark, and SQL. Implement Medallion Architecture, ingest data from APIs and enterprise systems, and develop lakehouse and Azure SQL data products supporting analytics and AI. Use Git and CI/CD for deployments, explore AI agentic workloads, and partner with architects and stakeholders to translate requirements into scalable solutions. The role requires local travel, occasional overtime and weekends, and in-person work flexibility.

Lead the architecture and delivery of end-to-end Azure data platforms, including ingestion, transformation, modeling, analytics, activation, APIs, and agentic AI integrations. Build production-grade batch and streaming pipelines using Microsoft Fabric, Azure Databricks, PySpark, Python, and SQL. Establish governance, security, lineage, and performance standards; troubleshoot critical systems; mentor engineers; advise client stakeholders; contribute to presales and reusable engineering frameworks.