Data Analyst

hace 6 días

Valle de Bravo, México John Clements Consultants, Inc A tiempo completo

Required Skills and Qualifications: Must be a graduate of BS in Data Analytics Data Science or Engineering or a closely related field, or equivalent required Certifications With a minimum of 5 years of experience in the same field Candidate must have expertise in extracting data from various data sources (Smartsheet, Sharepoint, Excel, Oracle, Hadoop and PowerBI) Experience with Smartsheet is preferred but not required. Ability/willingness to learn Smartsheet is required. Experience with Power Automate Experience with PowerApps preferred but not required Experience with data extraction SW development (e.g., PYTHON) is a bonus Ability to quickly grasp new concepts, both technical and business-related, and utilize them as needed. Duties and Responsibilities: Gather, extract, and analyze key portfolio and project metrics from the data ecosystem currently comprised of Oracle, Smartsheet, Hadoop, and Excel. Develop dashboards/reports and identify key metric/KPI trends and help drive corrective actions for any negative trends. Administer the Vertiv project management software tool (currently Smartsheet). Extract necessary data from Smartsheet, Sharepoint, and in some cases the Hadoop Data Lake or Oracle. Generate PowerBI metrics and dashboards to analyze the performance of projects, Lines of Business, and the entire portfolio. Understand the Smartsheet NPDI solution and support the Smartsheet administration as necessary. Generate, prepare, and create reports that effectively communicate trends, patterns, and predictions used in Financial Review, Operations, and Business Review. Analyze reports and data from high-level information in detail and provide suggestions to help the business in corporate strategy and decision-making. Handle and lead projects or ad hoc requests (reports, analysis, and business tool design). Handle and update process documentation that allows team members to understand the steps of the process and duplicate or replicate if necessary. Design and maintain data systems and databases and including fixing coding errors and other data-related problems. Mining data from primary and secondary sources and then reorganizing data that can be easily read by humans or machines. Create infographics and data visualization for effective communication and actionable outcomes. Create Workbooks by Importing data, Defining Relationships, Bar Charts, waterfall charts, Funnel Charts, Heat Maps, and Geographical Maps.

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