Data Analyst

Description

In a digital age where the nearly infinite and extravagant availability of data presents unlimited opportunities, our client is a key enabler in leveraging this resource, as it is among the first Saudi companies dedicated to offering market-leading Data Science and AI products and solutions. Our client empowers aspiring businesses and dynamic governments across industries to become data-driven, allowing them to optimize operations, enhance efficiency, and augment decision-making.

As a Data Analyst, you will be responsible for creating meaning from data sets by transforming data into readable, goal-driven reports to assist in continuous innovation and growth. This requires a detail-oriented individual with solid exposure to mathematical and statistical principles and a deep understanding of popular data analysis tools and databases.

• Job ResponsibilitiesManaging data sets, including creation, updates, and deletion.
• Performing analysis to assess the quality and meaning of data.
• Removing corrupted data and fixing coding errors and related problems
• Commissioning and decommissioning of data sets.
• Producing reports and charts communicating trends within data is a requirement.
• Managing and designing the reporting environment, including data sources, security, and metadata.
• Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
• Generating reports from single or multiple systems.
• Evaluating changes and updates to source production systems.
• Training end users in new reports and dashboards.
• Providing technical expertise in data storage structures, data mining, and data cleansing.
• Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
• Working with programmers, developers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
• overseeing the implementation of project management plans to ensure technical feasibility.
• Create and maintain comprehensive project documentation.
• Partaking in the enhancement of the Data Science functions.
• Understand all interactions between the system components.