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Deliver Business intelligence solutions using existing stack standards (SQL Server, Azure Analysis Services, Power BI and SSRS) and other tools as they evolve over time. The SQL Business Intelligence Architect is responsible for all aspects of the strategy, design, development, and improvement of the Data Warehouse, and analytical tools that provide a central, single source of truth for Mezzetta.
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3+ years of hands-on business intelligence experience, working in a customer-facing technical role (customer success, consulting or pre-sales) Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions.
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As a Business Intelligence Engineer within Region Delivery Analytics team, you will be responsible to build data visualizations consumed by Infrastructure Delivery leadership using all development tools available, including Python, R, Apex and Oracle Analytics Cloud/OBIEE. The role also requires prowess in SQL and SQL Developer to build reportable datasets.
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As a Business Intelligence Engineer, you will develop and implement applications that drive continuous improvement by simplifying processes and driving automation. If you are ready to drive consistently great customer outcomes and accelerate the growth of our business, come join the Oracle Cloud Infrastructure (OCI) organization.
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And using databases in a business environment with large-scale, complex datasets. Work is non-routine and very complex, involving the application of advanced technical/business skills in the area of data analytics.
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Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
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The Infrastructure Delivery team is one of the most critical teams at OCI. We are introducing revolutionary SAAS, IAAS and PAAS and AI products to the marketplace and because many of these products are being built new, we are experiencing tremendous growth in our Data Engineering and Analytics team.
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At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises. Skills in data visualization (Oracle Analytics Cloud, Tableau, Power BI, or similar) Unused balance will carry over each year up to a maximum cap of 112 hours.
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Experience in Statistical Analysis packages such as R, SAS and Matlab. A BS or MS degree in a quantitative field (Engineering, Data Science, Operations Research, Applied Math, Statistics, Analytics) or equivalent experience relevant to the functional area is desired.
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In this role you will be responsible for building a 24/7/365 GSOC for a multinational media client and managing a team of operators that must assess domestic and international risk to the firm's buildings, events, and operations, provide duty of care support for the firm's journalists and business travelers, lead firm-wide crisis management, and operate all company access control and video monitoring systems.
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Provide advanced technical expertise and leadership in cybersecurity, contributing to the identification and resolution of complex cybersecurity issues across various domains such as Incident Response, Threat Intelligence, Governance, Risk, and Compliance (GRC), Privacy, Vulnerability Management, and Engineering Operations.
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Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Experience in data mining, ETL, etc. Voluntary benefits including auto, homeowner and pet insurance. We put our people first with flexible medical, life insurance and retirement options. Experience with data modeling, warehousing and building ETL pipelines.
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Employees working fewer than 20 hours per week are not eligible for vacation. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We’re committed to including people with disabilities at all stages of the employment process.
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business intelligence jobs Company: Vector Marketing in NM, Germany
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