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Experience working with data integration and business intelligence tools (Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik). · Possess strong working knowledge of various data integration and business intelligence tools, including Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik.
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Advanced skills required in MS Excel/Google Sheets, ACAD, Business Intelligence tools, Tableau preferred, as well as an advanced understanding of CAFM/IWMS for Space Management. We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
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The Cyber Security Operation Center Fusion team synthesizes multi-source security alerting, intrusion investigations, cyber intelligence, and business information into actionable analysis.
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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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General understanding of networking, APIs, application security, encryption, identity and authentication, vulnerability management, threat intelligence, insider threats, attack surface, attacker tactics, and be proficient in understanding approved scanning vendor and attestation of compliance reports.
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The Senior Business Analyst is responsible for close collaboration with leaders across the organization to drive the development and adoption of our BI platform Domo, build and expand our KPI frameworks, gather requirements for projects related to our intelligence infrastructure, and translates those requirements into technical specifications for report writers, SQL developers and data engineers.
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Finance transformation and accelerated close; sub-ledger/ledger redesign; management reporting enhancement; business intelligence/decision support; traded products/front/back office package implementation; data warehousing/enterprise data design and management; enterprise application integration; financial planning, budgeting and forecasting; business/merger Integration, reconciliation redesign or improvement.
$373,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience With Business Intelligence software (Microsoft Power BI, Tableau and SQL). Liaison between stakeholder and Business Intelligence & Risk Reporting to collect requirements, design, create, and enhance reports and Tableau dashboards that satisfy stakeholder desires.
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Familiarity with global regulatory issues relevant to the use of artificial intelligence technology in financial services, including cloud, outsourcing and third-party risk management. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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We seek instructors with professional experience in machine learning and artificial intelligence who can teach in areas relevant to AI including machine learning, deep learning, natural language processing, reinforcement learning, robotics and computer vision.
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Financial Systems and Tools: Familiarity with financial software and tools, including enterprise resource planning (ERP) systems, business intelligence software, and advanced Excel skills; TM1 and Peoplesoft experience preferred.
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Accentures SAP practice, and we bring the New to life using design thinking, agile development methodologies, and the latest smart tech for SAP when it comes to automation and AI. We help our clients apply intelligence to set their business apart and make them more proactive, predictive and productive the power of the intelligent enterprise.
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Proficiency with tools that facilitate and promote team interaction and collaboration (e.g., Skype for Business, WebEx, Basecamp, SharePoint). Experience managing projects involving data analytics, artificial intelligence, machine learning and IoT is a plus, but not required.
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Specifically, you should be a skilled technologist and statistician who can own analytics initiatives, collaborate with less technical stakeholders, coach the team to develop technical and people skills, and establish best practices around data management, version control, and business intelligence.
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You will work on projects that focus on machine learning, business intelligence, data engineering, and/or visualization, delivering excellence at the intersection of data science, research and business domain expertise.
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business intelligence jobs in Chicago, Columbia, Missouri
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