Detalhes do emprego
Ensure that data is accurate, consistent, and reliable throughout its lifecycle, which is critical for making valid and trustworthy decisions. Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify junk data.
Responsibilities
- Collecting Data from Various Sources: Gather data from various sources, including databases, APIs, and third-party sources, and ensure the upkeep of databases and data systems.
- Developing and Supporting Reporting Processes: Create and maintain processes to generate accurate and timely reports that help stakeholders understand and act on key data insights. Identify opportunities for process enhancements. Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes.
- Developing Automated Processes for Data Scraping: Design scripts and tools to automatically extract large volumes of data from websites or other digital sources, improving efficiency and availability. Detect, examine, and decode trends or patterns within intricate datasets. Employ statistical techniques to scrutinize data and produce actionable business insights. Extract meaningful insights and trends, which can be used for business decisions and strategic planning. Develop data dashboards, charts, and visual aids to support decision making.
- Performing Complex Analyses: Conduct in-depth data analyses using advanced statistical methods and tools to uncover patterns, correlations, and insights.
- Maintaining Databases: Manage and update databases to ensure they are secure, accessible, and functioning properly. The role is crucial in supporting ongoing data storage and retrieval needs. Coordinate with management to align business and informational priorities. Collaborate with the management team to determine and rank the needs of different business units.
Desired Candidate Profile
Qualifications: A Bachelor's Degree in Computer Science, Information Management, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous. Possess a solid foundation in statistics and practical experience with statistical software (such as Excel, Power BI). Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness. Capable of critically evaluating data to derive meaningful, actionable insights. Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background. Adept at report writing and presenting findings. Ability to work under pressure and meet tight deadlines. A deep understanding of the industry and business operations is a plus. #J-18808-LjbffrApply safely
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Hiring company
Client of Virtua Advanced Solutions
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Mini MBA Study 365AED 134Duração: Upto 28 Hours
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Business Analysis 1TRAININGAED 180Duração: Upto 20 Hours
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