Data Analyst job vacancy in Bani Yas City UAE

ConFlip; Abu Dhabi; On-site; AED 12,000 - 15,000; Full time

Job summary

ConFlip is seeking a Data Analyst in Bani Yas City, UAE. The role focuses on data analysis, reporting results, and presenting findings clearly. The ideal candidate has at least two years of experience and strong research and communication skills.

Candidates should be comfortable with Microsoft Office, Excel, SQL, and working both independently and as part of a team. The position offers a monthly salary and is open to foreign applicants.

Qualifications

• At least two years of experience in data analysis.
• Working knowledge of the data analysis field.
• Familiarity with Microsoft Office, Excel and SQL.
• Ability to produce clear, concise reports on findings.

Responsibilities

• Conduct research, analyze data and report results.
• Interpret data accurately to support decisions.
• Prepare clear reports and presentations of findings.

Skills

Data analysis

Research skills

Communication

Teamwork

Independent work

Tools

Microsoft Office

Excel

SQL

Job description

Data Analyst vacancy in Bani Yas City UAE

Data Analyst job vacancy in Bani Yas City UAE in data analysis and some knowledge of the field.

The ideal candidate for this position should have at least two years of experience in data analysis and a working knowledge of the field.

We are looking for an experienced Data Analyst to join our team in Bani Yas City, UAE. This position offers a salary of 1200 per month and we are open to considering foreign applicants.

The primary responsibilities of this role will include conducting research, analyzing data, and reporting the results. The successful candidate will have excellent research skills and be able to interpret data accurately. They must also be able to produce clear, concise reports on their findings.

Other key skills required for the role include strong problem-solving abilities, excellent communication skills, and the ability to work independently as well as part of a team. The successful applicant should also be familiar with common software tools such as Microsoft Office, Excel, SQL etc., as well as statistical software packages used in data analysis.