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Position: Lead Data Analyst
Institution: Johnson & Johnson Services Inc.
Location: United States
Duties: Lead the design and development of analytic and automation solutions to query, mine, and analyze large data sets leveraging data analytical tools (e.g., Alteryx, Tableau, Python, etc.); Work directly with GAA Staff and leadership to craft and implement digital solutions with high impact by focusing on: Improving the efficiency and effectiveness of the current process; Identifying insights that could not be previously acquired; Driving standardization, repeatable use, and scalability of solutions; Improving End-User experience
Requirements: Undergraduate degree in a relevant area (e.g., Accounting, Analytics, Business, Finance, Information Technology, MIS) required; 6+ years of working experience in audit, investigations, internal controls, information technology, financial analytics, or risk management fields; Technical expertise and previous hands-on experience with any of the following software tools: Data visualization tools (e.g., Tableau, Power BI, etc.); Data query/automation tools (e.g., SQL, Alteryx, UiPath, etc.); Data mining and predictive tools (e.g., Python, R, etc.)
   
Text: Lead Data Analyst Lead the design and development of analytic and automation solutions to query, mine, and analyze large data sets leveraging data analytical tools (e.g., Alteryx, Tableau, Python, etc.); Work directly with GAA Staff and leadership to craft and implement digital solutions with high impact by focusing on: Improving the efficiency and effectiveness of the current process; Identifying insights that could not be previously acquired; Driving standardization, repeatable use, and scalability of solutions; Improving End-User experience Undergraduate degree in a relevant area (e.g., Accounting, Analytics, Business, Finance, Information Technology, MIS) required; 6+ years of working experience in audit, investigations, internal controls, information technology, financial analytics, or risk management fields; Technical expertise and previous hands-on experience with any of the following software tools: Data visualization tools (e.g., Tableau, Power BI, etc.); Data query/automation tools (e.g., SQL, Alteryx, UiPath, etc.); Data mining and predictive tools (e.g., Python, R, etc.)
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