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The Corporate Planning & Management (CPM) Division unifies Finance & Planning, Spend Management, Operational Risk and Resilience, and CPM Engineering teams to deliver business planning and analytics, expense management, third party risk management, and governance strategies across the firm.
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Evaluate and select appropriate technologies and frameworks (e.g., Spark, Flink, Kafka, Presto) to build a modern data analytics platform that meets business needs. Collaborate with software engineering, data engineering, and analytics teams to integrate data sources into the platform and ensure data quality and consistency.
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Extensive expertise in Google Analytics 4 (GA4), Google Tag Manager (GTM), Looker Studio, Firebase, BigQuery, Amplitude, Databricks, and Tableau. The ideal candidate will have extensive experience in data analytics tools and platforms, with a strong focus on Google Analytics 4 (GA4), Google Tag Manager (GTM), Looker Studio, Firebase, BigQuery, Amplitude, Databricks, and Tableau.
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Require Bachelor of Science in Computer Science/Engineering, Information Systems/Technology, Engineering, Data Analytics/Sciences, or related fields and 5 years of experience in the job offered, software engineer/developer, data analyst/engineer/scientist, systems/programmer engineer/analyst, associate/consultant, or related field.
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As a Quantitative Analytics/Modeling Consultant Sr. within PNC's Internal Audit organization, you can be based in Pittsburgh, PA; Cleveland, OH; Charlotte, NC; Raleigh, NC; Chicago, IL; Dallas, TX; Washington DC, or Birmingham, AL.
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You will explore a wide range of next-gen technologies : cloud native applications, machine learning (ML), AI, GenAI, Vision, and Imagery analytics. Our products influence the industry with financial, property, and consumer information with a mindset of utilizing data analytics along with business intelligence.
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Expertise in data analytics tools and software (e.g. SQL, Python, M, DAX, Tableau, Power BI, MicroStrategy, etc.) Reporting to the SVP, Corporate Finance, the VP Revenue Analytics provides executive oversite, strategic analytical insights, drives data-driven decision-making, and leadership to Revenue Analytics, Revenue Cycle Analytics, Managed Care Analytics, Contractual Maintenance, Month-End AR Reserve estimating, Pricing, and Data Warehousing, The role requires a deep understanding of healthcare reimbursement, revenue cycle, data analytics, and financial performance metrics.
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The Analytics & AI FSAs are highly motivated technical sales resources whose goal is to provide guidance, enablement, and support for all things Analytics & AI focusing on opportunities and partnerships across a sales region.
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Proficient in Google Analytics and BigQuery. The Analytic Consulting Group partners with internal and external clients and data providers, leveraging predictive analytics and advanced statistical techniques to drive strategic thought and effective decision making.
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Strong experience in a Product Management, Data Product, or Data Science/Analytics Leadership Role. Director, Data Analytics, AI/ML. Drive development of product strategy and associated roadmaps working in conjunction with the CDO, VP Data, business stakeholders and product development teams.
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Bachelor's degree in a quantitative discipline (statistics, economics, mathematics, marketing analytics) The Manager, Analytics manages analytic initiatives from conception to completion, providing clients and key stakeholders actionable results and insights that help them achieve their business objectives.
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Position SummaryThis position is responsible for developing statistically driven models and assumptions for capital and liquidity stress modeling and loan behavior modeling such as prepayments, defaults, etc.
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The ideal candidate must possess a strong background in data architecture, cloud computing, and a deep understanding in emerging digital trends in data, analytics, and AI. As a Data and Analytics Director, you will be responsible for developing go-to-market offerings, lead delivery of rapid assessments, and collaborate across RSM for developing our data and digital narrative.
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Provides input to IS for the overall architecture, design, development, and maintenance of the HR analytics and reporting capabilities. Work closely with the HR executive team and BSWH Information Systems (IS) to develop an overall strategic vision and execution of the Oracle Analytics Cloud solution to support HR analytics and reporting requirements.
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Building robust, systematic & efficient workflows, processes, and procedures around the production of risk analytics for financial & non-financial risk, risk capital, and regulatory reporting. A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting, and risk tools.
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Title: analytics Company: Drivetime in Dallas, RI, United Kingdom
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