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CloudHire Solutions enables enterprises in their digital transformation journey by offering Consulting and Implementation Services related to Data Analytics and Enterprise Performance Management (EPM.
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Hands-on experience with Databricks and Snowflake for data engineering and analytics. Implement data pipelines and ETL processes using Databricks and Snowflake. Required background/ Skillsets: Prior working experience in Data bricks Snowflake Python Data science background Proficiency in Python for software development and scripting.
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Added Bonus If You HaveBachelor’s degree in Information Systems, Computer Science, related discipline or equivalent work experienceExperience using Jira & ConfluenceExperience working with Adobe Analytics, Google Analytics or other web analytics data.
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Must have six (6) years of experience with: Hands-on software development, data engineering, and systems architecture; Data Lake Infrastructure, Data Warehousing, and Data Analytics tools; Developing Enterprise Data Models; Data modeling, data warehousing, and building high-volume ETL/ELT pipelines; Building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
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Have deep and diverse experience in highly visible regulatory environments, including strong knowledge of Model Risk Management techniques. The Client Quantitative Analytics Manager contributes to the strategic direction and drives the development of Consumer AML's Advanced Analytics Team. The Client Quantitative Analytics Manger serves as a trusted advisor to the Consumer AML Leadership team directly.
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Job SummaryThis position is responsible for constructing forecasts, recommendations and strategic/tactical plans based on business data and market knowledge; performing data research, statistical analysis and building visualizations; working on research projects and performing adhoc data requests; obtaining data from public data sources; identifying issues and outliers with medical data; serving as primary contact and subject matter expert for assigned topics and analytics projects.
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We are trusted to deliver solutions in creative innovation, strategic sourcing, final mile execution, analytics and data-driven insights. We are trusted to deliver solutions in creative innovation, strategic sourcing, final mile execution, analytics, and data-driven insights.
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Streamline data delivery and operational data governance using Oracle Cloud supported integration patterns including HCM Extracts, Oracle BI Publisher reports, REST API and SOAP web service protocols to ensure compliance with Fannie Mae's data management standards.
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10+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics Data Design Generative AI AI/ML ML Ops 3+ years of experience using Python.
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We are looking for a passionate and highly motivated Cloud Architect to work with our Data & Analytics Team. The primary responsibility of this role is to provide best-in-class enterprise Cloud Database platform engineering with cutting-edge technologies guided by principles of Agility, DevSecOps and continuous innovation.
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Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data and design. Our advisor-led wealth management businesses provide financial planning, investment management, banking and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees.
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1 or more years’ experience with cloud-based data offerings (Amazon AWS, Redshift, Snowflake, Google GCP, Microsoft Azure) Compliance to Agile Jira SDLC controls, Service Now Change & Incident management, and Data Ops Gitlab CI/CD pipeline.
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Partner closely with the Data Analytics team to leverage advanced tools such as Google Analytics 4, Google Tag Manager, Looker Studio, Salesforce, and PowerBI for campaign optimization and performance insights.
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Experience in default mortgage banking experience, risk management, loss forecasting analytics. Job Responsibilities: Provide information by assembling, interpreting, and summarizing data, preparing reports, making presentations of findings, along with analyses and recommendations to Senior Management Develop/ Support qualitative model for simplified forecast estimation process, designing the workflows and assisting with technical requirements for implementation.
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PreferredHands on experience in working on Advanced Excel with Smart view Power BI Python Google Big Query Tableau Looker Google Slides SQL experience and familiarity with relational databases.
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google analytics data management jobs Title: analytics Company: Nbcuniversal in Plano, TX
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