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Demonstrates intimate-level abilities of applying a range of technical, digital, and other professional capabilities by: Utilizing a high degree of collaboration, ingenuity, and innovation to apply tools and techniques to address client questions; Utilizing data extraction/transformation, analytics, and visualization approaches; Employing business intelligence software (e.g., Power BI, Tableau, etc.
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Experience with other business intelligence tools and technologies such as Alteryx and Tableau. This role will be responsible for setting standards around analytics, data modeling, data integration, data engineering best practices, data governance and data security design.
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Experience working in SQL, Alteryx or other data management and Business Intelligence tools. Experience with predictive modeling in SAS, Python, R or other. Experience with predictive modeling in SAS, Python, R or other.
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Business diligence, financial modeling, and valuation;Managing projects in a dynamic, collaborative environment and working under time sensitive client deadlines; and,Analyzing or managing transactional, financial and/or accounting data, and statistical methods in support of data analysis.
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The Analyst, Business Intelligence will work closely with the Manager of Business Intelligence & Initiatives, COO, Senior Director of Technology, and the tech group to develop roadmaps, requirements documents and project plans.
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The ideal person will have previous analytical experience working with relational databases, business intelligence platforms, and/or predictive modeling software. Ability to prepare technical specifications and documentation for Alteryx workflows supporting downstream uses.
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As Strategic Data Scientist and Business Intelligence Generalist IV in the Strategy Development Office within the Corporate Strategy department, you will have the opportunity to utilize various data channels and sources to influence and guide the direction of DTNA’s strategic program (GO2030) and beyond.
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Experience using Business Intelligence Tools (SSRS, Power BI, OBIEE, Tableau, etc.) Supports the development and deployment of business intelligence and data visualization tools.
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Experience collaborating with cross functional technical teams such as Data Engineering, Data Science, or Business Intelligence regarding integration of various connecting systems. Collaborate and coordinate with data science, business intelligence, and design technical areas to build scalable and reliable data architecture and automation that best serve business needs.
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Redtech is helping our client, a mission-minded local company passionate about Travel, with a Direct Hire search for a Business Intelligence Analyst with 2-3 years of experience. Alteryx (or similar data analytics program), SQL, strong excel skills, including Power Query, Power Pivot, or data modeling.
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Proficient in financial modeling and adept at extracting and interpreting data from various internal systems, including mastery of MS Excel with expertise in Pivot Tables, Alteryx, and/or Power queries.
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Preferred + MBA or Masters in Finance, Economics, Math + Strong understanding of the restaurant industry (QSR), competitors, and market dynamics + Experience working in SQL, Alteryx or other data management and Business Intelligence tools + Experience with predictive modeling in SAS, Python, R or other Information for applicant To view full details and how to apply, please login or create a Job Seeker account.
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DE working with Business Intelligence (BI) platforms to deliver synthesized reports and data-driven insights using Looker, Tableau, Power BI. DE executing Business Intelligence (BI) projects and presenting to senior management.
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Bachelor's Degree preferably in Computer Science, Information Technology, Computer Engineering, Finance, Economics, Math or related IT discipline; or equivalent experience. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating thorough knowledge about ETL tools and techniques, such as tools like Alteryx, Power Query, Azure Data Factory, and Power Apps suite of tools.
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