Top Data & Analytics Jobs

Implement and support SAP HANA SPM and incentive compensation solutions, including compensation plans, rules, calculations, and integrations. Build data mappings, transformation logic, batch and real-time interfaces, and validation pipelines across CRM, ERP, and data warehouse systems. Troubleshoot production issues, ensure data quality, governance, reconciliation, and auditability, support UAT, document system flows, and mentor junior team members.

Designs and optimizes enterprise data pipelines and cloud platforms using Python, Spark, SQL, and AWS. Implements data governance, quality controls, metadata management, cataloging, lineage, and compliance solutions. Develops scalable ingestion and transformation frameworks, data models, and Lakehouse architectures while resolving reliability and performance issues. Collaborates with data stakeholders, mentors engineers, reviews code, and drives automation and operational excellence.

Analyze revenue performance, forecasting, business drivers, and market trends to support planning and commercial growth decisions. Partner with Sales, Finance, Business Intelligence, and other stakeholders to identify risks, opportunities, and actionable insights. Develop segmentation, opportunity-sizing, prioritization analyses, and investment business cases. Improve recurring reporting and planning processes through automation and scalable tools, translating complex data into clear recommendations for senior leadership.

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.

Administers and optimizes Microsoft SQL Server, PostgreSQL, and MongoDB environments. Monitors database performance and availability, manages backups and recovery, supports security and high availability, tunes queries, and maintains SSIS and SSRS solutions. Collaborates with developers on database design and deployments, responds to incidents, documents procedures, and contributes to automation using SQL, PowerShell, and Python.

Leads the design and implementation of data engineering solutions, including robust pipelines, storage systems, data architectures, APIs, and data quality frameworks. Deploys solutions across Kubernetes, Teradata, AWS, and Databricks; selects appropriate storage platforms; maps data lineage; establishes development and QA standards; and collaborates with cross-functional teams to improve data accessibility, quality, and operational efficiency.

Designs and manages advanced data architectures, pipelines, ingestion frameworks, and data quality processes. Develops scalable data solutions across cloud, warehouse, lakehouse, and distributed computing platforms. Builds data consumption methods such as APIs, database views, and extracts while managing lineage, privacy, compliance, and transformation rules. Collaborates cross-functionally to improve data sourcing, accessibility, reliability, and processing efficiency.

Build and optimize scalable data architectures, pipelines, warehouse tables, and data feeds from diverse sources. Ensure data quality, monitoring, CI/CD reliability, security, and efficient compute and storage usage. Collaborate with engineering, product, and cross-functional teams on data analysis, AI, machine learning, experimentation, and ad technology products. Develop automated data integration and cleansing processes, troubleshoot pipeline failures, and contribute to complex projects involving cloud platforms, MLOps, and large datasets.

Leads data analytics and automation solutions supporting global audit engagements, with a focus on information security, cybersecurity, and technology data. Responsibilities include designing scalable data products, performing ETL and statistical analysis, automating audit testing, creating reports, managing roadmaps, overseeing production processes, and coaching team members. Partners with audit leaders and business stakeholders to assess risks, controls, compliance, and opportunities for improved audit efficiency.

Supports Comcast Global Audit by analyzing complex business data, developing dashboards and monitoring metrics, designing scalable data solutions, and automating audit processes. Performs ETL, statistical modeling, visualization, compliance analysis, testing, and documentation using a broad analytics technology stack. Partners with audit stakeholders, communicates findings, maintains automated production processes, and assists with AI audit initiatives. The role requires independent judgment, mentoring of less experienced analysts, and up to 20% travel.