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You will be responsible for utilizing your expertise in Microsoft Dynamics AX/D365 ERP, Microsoft Excel, SQL, and Accounting Information Systems to extract, transform, and analyze data. Kavaliro's client is a dynamic and innovative organization seeking a talented Hybrid Business Intelligence Analyst to join their team in Orlando, FL. This role offers the opportunity to work with cutting-edge technologies and contribute to impactful financial reporting and forecasting initiatives.
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5+ years of experience in roles in the Retail Energy space, such as a Functional Business Subject Matter Expert, Product Owner, Project Manager, Developer, Business Analyst, or Data Analyst, with a demonstrated history of contributing to organizational success.
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Knowledge of and experience using Structured Query Language (SQL), Tableau and other Business Intelligence (BI) Data tools. Works with Loyalty Marketing Analyst to get all co-brand assets through legal approval with Barclays.
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Experience in a systems operations support role within safety/pharmacovigilance as business analyst, configuration manager or business relationship managerExperience in leading safety systems in the marketExperience and understanding of the safety/pharmacovigilance process and regulations, ICH GCP and GxP regarding systems validation and documentation.
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QualificationsBachelor’s Degree or equivalent work experience required in quantitative discipline (Mathematics, Statistics, Computer Science, Finance, Economics, or similar), and 2+ years in a business developer role using Epic systems.
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Master's degree in Computer Science, Information Systems, Statistics, Mathematics, Data Science, or a related field of study plus at least 3 years of experience in job offered or any Programmer Analyst, or related job titles.
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BS/BA or equivalent in Computer Science, Information Systems, Engineering, Business, Mathematics, or other related scientific or technical discipline with five (5) or more years of experience related to this position.
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Under supervision of the Senior Director, Advancement Services, the Business Analyst II uses the alumni and donor database, correlated systems and reports to support University Relations (UR) and campus-wide staff's informational and data needs.
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Work closely with Business Systems Analyst (BSA) and Business Users to design and develop solutions that meet business requirements. Extensive Oracle SQL, PL/SQL programming experience.
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Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) As the Sr Financial Analyst, you will work closely with multiple business teams including fee strategy teams, controllership, WW FBA leadership, corporate finance and fee program teams.
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Job summary: The Business Analyst is responsible for bridging the gap between IT and the business to improve efficiency of systems and processes by assessing processes and systems utilization, determining user needs and requirements, and delivering recommendations to stakeholders.
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In this role, you will be leading a team of Business Systems Analyst (BSA) responsible for the management, support, and enhancement of Oracle Fusion applications. Previous experience in roles such as business analyst, functional consultant, or similar positions within Oracle Fusion projects.
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Supports Financial Statement Analysis of business partners (e.g., suppliers, customers, co-packers, acquisition targets) by using software systems (Internet, Bloomberg, and D&B), annual reports, and/or interviews; determining the financial status (viability) of business partners; and assessing risk implications.
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The Business Systems Analyst (Data Integration Services) role will support the operational and analytical needs of the business by defining, developing, configuring, and supporting data integration solutions, while working closely with the Enterprise Application managers / software engineers.
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Working knowledge of corporate systems and databases: SSA LN, Data Warehouse, SQL, Snowflake, Access etc. Develop business models and high-quality prediction systems, leveraging machine learning algorithms and artificial intelligence tools to prioritize various improvement models for implementation.
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