Data Analyst II
Indotronix International Corporation
Data Analyst II | Lexington, Kentucky, United States [About the Role] Join our dynamic team in Lexington, KY, as a Data Analyst II. In this hybrid contract position, you'll work onsite during training, then transition to a flexible schedule. You'll play a pivotal role in transforming raw data into actionable insights that drive business decisions for critical ERP management processes. This is a fantastic opportunity to develop your skills with leading technologies like Oracle, SAP, and Maximo, while gaining exposure to impactful business operations. [Responsibilities] - Aggregate, cleanse, and analyze complex datasets from multiple sources to support ERP management - Build and report on key business performance indicators related to financials, material tracking, and end-to-end communication - Support regulatory and customer reporting, ensuring accuracy and compliance - Collaborate with project teams to provide business-critical data analyses and reporting - Extract meaningful insights to inform strategic business decisions [Required Skills and Experience] - Bachelor's degree in data science, computer science, or a similar field - 2-5 years of hands-on experience in data analytics or data science - Proficiency with Microsoft Office Suite, Oracle, and SAP - Proven ability to compile, cleanse, and prepare large datasets for analysis - Strong analytical mindset with a track record of deriving insights from complex data [Preferred Skills] - Experience with Maximo - Background in warehousing or inventory analytics - Engineering or technical training [Benefits] - Hybrid work model after initial training - Exposure to advanced ERP systems and high-impact business projects - Professional growth opportunities in data analytics and business intelligence - Collaborative and supportive team environment [How to Apply] Ready to advance your data analytics career? Submit your updated resume and a brief cover letter detailing your relevant experience. We're excited to see how you can make a difference in our data-driven organization! :
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