Top Data & Analytics Jobs

Leads business operations analytics, including strategic reporting, reporting-tool development, data integrity audits, operational trend analysis, and consolidation of data sources. Integrates budget and performance data to support financial planning and strategic decisions, streamlines business processes, evaluates system performance, and mentors analytical teams. Requires independent judgment and availability for nights, weekends, and variable schedules.

Design, build, and maintain scalable data pipelines and ingestion frameworks across cloud platforms. Ensure data quality, lineage, storage, and consumption methods. Implement solutions on Kubernetes, Databricks, and Teradata, mentor junior engineers, collaborate with cross-functional teams, and contribute to internal tooling to support analytics and customer-facing data products.

Supports enterprise decision-making through advanced analytics, reporting, data quality validation, exploratory analysis, hypothesis testing, predictive modeling, and campaign performance assessment. Collaborates with business and technology stakeholders to define data requirements, build analytical solutions, combine datasets, enforce governance standards, and deliver actionable insights. Requires independent judgment, effective communication, and the ability to manage multiple priorities and variable schedules.

Leads the design and management of data engineering solutions, including pipelines, storage systems, data architecture, quality frameworks, APIs, and data extracts. Deploys solutions across Kubernetes, Teradata, AWS, and Databricks; selects storage technologies; maps data lineage; establishes QA standards; and collaborates cross-functionally to improve data quality, accessibility, and operational efficiency. Requires independent judgment and flexibility for nights, weekends, and variable schedules.

Independently leads data analytics and business intelligence initiatives, combining complex data sources to generate actionable insights. Performs exploratory analysis, hypothesis testing, forecasting, and LLM model development. Communicates findings through executive presentations and data visualizations while ensuring data integrity and compliance. Partners with business stakeholders to define technical requirements and applies emerging analytics, statistics, and machine learning techniques to business challenges.

Design and deliver end-to-end web applications and data pipelines that integrate enterprise systems (including Oracle). Build high-performance data models, dashboards (Power BI), REST APIs, and UI components. Integrate tools like Jira and Smartsheet, implement logging/instrumentation (ELK), and collaborate in Agile to provide documentation, training, and ongoing support.

Build, optimize, and support scalable batch and streaming data pipelines for enterprise workforce, billing, and interaction datasets. Develop cloud-native solutions with AWS, Databricks, PySpark, Kafka, Kubernetes, and Airflow while processing tens of terabytes of data. Provide production support, performance tuning, troubleshooting, and data platform automation. Collaborate across Product, Governance, Analytics, and Engineering teams, support data warehousing and reliability practices, participate in architecture decisions, and mentor junior engineers.

Lead a team delivering executive-level performance analytics, subscriber and financial modeling, long-range planning, and budget support. Translate complex data into concise executive narratives, align cross-functional planning assumptions, build repeatable analytical frameworks, and coach analytics staff to support strategic decision-making and executive reviews.

Lead design and delivery of data analytics and automated reporting to support Finance and Operations audits for NBCU. Manage extraction, testing, visualization, and analysis of audit data, drive automation and data quality, mentor team members, collaborate with business and technology partners, and produce clear workpapers and recommendations. Oversee quarterly deliverables, ad hoc reporting, and ensure data security and IT control compliance.

Design, implement, and administer SAP Analytics Cloud (SAC) planning and reporting solutions. Lead SAC modelling, story creation, SAC admin, and migrations from BPC to SAC. Collaborate with data, product, and functional teams to define data acquisitions, virtual models in HANA, pipelines, and security. Provide support, training, and stabilization efforts while managing multiple projects and mentoring team members.