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JobCenter in Musaffah, Abu Dhabi seeks an organized Data Analyst to turn data into actionable insights. You will evaluate, visualize, and summarize data from multiple sources to support business decisions.
The role requires strong SQL, Excel, and analytical capabilities, plus the ability to collaborate with marketing, sales, and finance. A bachelor’s degree in CS/Math/Stats or related field is expected, with experience handling large datasets.
We are looking for an organized and detail-oriented Data Analyst to join our team in Musaffah, Abu Dhabi. The ideal candidate will have a passion for working with data to help inform business decisions and uncover key insights. This is a great opportunity for a talented individual to gain experience in the field of data analytics and gain valuable skills that will serve them well in their career.
The Data Analyst's role is to evaluate, analyze and visualize data from our various sources in order to identify trends, patterns and correlations that can help inform our business decisions. This may include developing simulations or models that evaluate the potential impact of specific scenarios on our operations. The successful candidate will be expected to work closely with other departments such as marketing, sales, finance, operations and technology to ensure that data is properly collected, analyzed and presented in an accurate and timely manner.
We offer competitive salaries along with excellent benefits including health insurance, paid vacation time, pension plan contributions and many other perks. We pride ourselves on offering an environment where team members can grow professionally while being part of a dynamic organization that values innovation and creativity.
Qualifications for this position include: Bachelor’s degree in Computer Science, Mathematics, Statistics or related field; experience working with databases; knowledge of SQL; excellent analytical skills; strong written & oral communication skills; ability to work independently and as part of a team; proficiency with Microsoft Office Suite (Word/Excel/PowerPoint). Knowledge of programming languages such as Python or R would be a plus but not necessary. Furthermore, experience working with large datasets is preferred but not required.