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Stay updated on the latest trends and best practices in business intelligence and data visualization. The ideal candidate has a strong foundation in Business Intelligence principles, is comfortable working with large volumes of data, and possesses the technical expertise tosolve complex data challenges.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
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In addition, it is preferable that the candidate be able to support Condition Assessment and other Communities of Practices such as corrosion services, distribution and collection, stormwater, supply, risk assessment, business intelligence, and information systems throughout the US and Canada.
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2-3 years of experience working in business intelligence, data analytics, data engineering or a similar roleAt least 1-2 years of experience with data modeling tools such as DBT or CoalesceAbility to think strategically, analyze and interpret market and consumer information.
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Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Industry expertise within Data Warehousing, Data Engineering, Data Science, Business Intelligence, Data Analytics and/or Cloud Computing. Our Enterprise Sales Engineering organization is seeking a Manager of Sales Engineering to lead a highly skilled team of Sales Engineers who provide value-based evaluation scenarios including demonstrations, labs and POCs. In addition to managing a team, you will work directly with our sales team and channel partners to understand the needs of our enterprise customers, strategize on how to navigate sales cycles, and close business.
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Directing IT business processes and frameworks including, but not limited to, Identity Access Management (IdAM), Enterprise Application Integration, Data Warehousing, Business Intelligence, Content Management, Reporting, Search; Protecting intellectual property, disaster recovery planning and adherence to SDLC as well as COBIT, CMMI, PMM4, and ITIL.
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The ideal candidate will have a strong background in data engineering, a passion for solving complex problems, and the ability to translate business requirements into technical solutions.
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Proficiency in statistical analysis tools and techniques, such as Excel, SQL, Python, and R Proficiency in business intelligence software, such as Tableau, Power BI, and Looker. The Principal Data Analyst will play a critical role in analyzing data, identifying trends, and providing actionable insights to strategic planning, business transformation, and new product commercialization.
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Wells Fargo is seeking a Lead Data Product Management Consultant to work in the Consumer Data Products (CDP) group within Consumer Data, Analytics, & Artificial intelligence as part of Consumer and Small Business Banking (CSBB.
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Design, develop, and maintain data pipelines and ETL processes using technologies like Oracle Analytics Cloud (OAC), Azure Data Factory, Oracle Business Intelligence Enterprise Edition (OBIEE), or Microsoft Power BI or Tableau.
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Experience with Business Intelligence tools and data visualization platforms (e.g., Looker, Tableau, Power BI) Scope out and manage the integration of new Business Intelligence tools in collaboration with the Pricing & Analytics team to enhance data reporting and analytics capabilities.
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We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology.
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Is the force that propels Salesforce into the 4th Industrial Revolution informing through trusted data and artificial intelligence the path forward to be smarter in every dimension. 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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business intelligence data engineering jobs in Dallas, WY, Canada
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