Top Data & Analytics Jobs

Senior Data Engineer on PwC's Managed Data, Analytics & Insights team to design, build and manage advanced data ecosystems. Responsibilities include designing data solutions and scalable pipelines, solving complex problems, mentoring junior staff, maintaining high delivery standards, and building client relationships while aligning solutions to business context.

Partner with stakeholders to translate studio operational processes into requirements, support systems for metadata/asset ingestion/versioning, perform analysis, testing, documentation, dashboarding, issue triage, and project tracking to improve Film & TV creative development technology solutions.

The role involves gathering requirements and data analysis to support governance and quality measures, implementing data quality solutions, managing workflows, and ensuring data lineage and accuracy across diverse environments.

Design, build, and maintain high-throughput data processing services, focusing on streaming and batch data systems to enhance player experiences.

As an Incentives Compensation Analyst, you will manage incentive payments, audit data, perform financial impact analyses, and automate data processing using SQL and Python.

Responsible for analyzing, developing, and configuring SAP PaPM use cases. Supports production users and configuration/testing for OneGL finance environment enhancements.

Own end-to-end master data lifecycle for supply chain domains (items, vendors, locations). Lead data governance council, develop policies and stewardship programs, maintain glossary/metadata, drive data quality KPIs, support ERP/MDM projects, and collaborate with procurement, planning, operations, and finance to resolve data issues and improve master data processes.

Lead a global analytics team to transform financial and operational data into actionable insights. Partner with stakeholders to align analytics with strategy, build scalable Power BI dashboards integrated with Snowflake, apply predictive modeling and ML, enforce data governance, drive automation with Python and Power Automate, and improve data architecture and reporting to inform decision-making and business performance.

Support pricing and profitability strategy through analysis of pricing, sales, gross profit, customer behavior, and market data. Monitor competitor pricing, evaluate product/category performance, build dashboards and reports, segment product opportunities, and partner across teams to translate insights into pricing recommendations and initiatives.

Design and maintain data collection infrastructure and resilient pipelines, troubleshoot and resolve data defects, implement maintenance strategies, support BI/warehousing/reporting, build reports and visualizations, and collect/extract/clean data end-to-end, including real-time streaming and performance tuning.