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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Designing and developing large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. A career in our Cloud and Network Architecture practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms that bring new and innovative services to some of the largest companies.
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Working on cloud platform and solutions in infrastructure, Applications or Data technologies (GCP, AWS & Azure); To help us achieve this we have the PwC Professional; our global leadership development framework.
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Demonstrating proven knowledge in data management with an understanding of analytics and reporting; As part of the team, you’ll focus on the architecture of data centres, including the design and implementation of network architecture and information storage to optimise innovation and programme delivery for our clients.
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To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. Using an analytical and data driven approach to drive a thorough understanding of fast changing business.
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PwC is proud to be an affirmative action and equal opportunity employer. Leveraging experience in database management, migration, and transformation to cloud native DBs like Cloud SQL, Spanner, AWS Aurora, AWS RDS, etc.
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Leading the team through the life cycle of a D365 implementation providing key inputs during design, migrating data from external systems; conducting and supporting solution testing; building test cases; assisting with functional, system and user acceptance testing and conducting and supporting user and administrator training.
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Demonstrates extensive ability to collaborate with Microsoft Dynamics 365 CE (CRM) or F&O (ERP) Technical Architects, clients, engineering teams including developers, testers and PMO to deliver a quality product and implementation.
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ITIL, ServiceNow); Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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This Senior Manager will play a critical role in confirming compliance with ethical standards and regulatory requirements through the use of advanced data analytics techniques. Demonstrating intimate knowledge about designing and implementing data-driven analyses to monitor for compliance with regulations and standards, such as anti-corruption laws, data privacy regulations, and industry-specific regulations.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating thorough knowledge about ETL tools and techniques, such as tools like Alteryx, Power Query, Azure Data Factory, and Power Apps suite of tools.
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Collaborating with cross-functional teams, including Finance, the Office of the Chief Data Officer, the Office of the General Counsel, Business Services Technology, Network Information Security, Internal Audit, and other firm functions to gather relevant data and establish data integrity for analysis.
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6 year(s) of experience in data analytics with a focus on Ethics & Compliance is preferred. Demonstrating a thorough level of knowledge in data analytics tools and programming languages, such as Python, R, and SQL.
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Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving; Proving ability to collect data from various sources, determine appropriate storage methods, perform various analyses, distill and communicate key insights/complex findings to non-technical stakeholders through data visualization techniques.
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Title: quality manager data Company: Pwc
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