Data Analysis Specialist
- Industry Type
- Education, Training, Teaching, Academics
- Functional Area
- Human Resources or Research and Evaluation Industry Education, Training, Teaching, Academics
- Nationality
- Any
- Keywords
- Employee Survey Experience Survey Design and Production Impactful Survey Delivery Communication and Engagement Analytics Data Analysis
Job Description
PPL Dynamics in Doha, Qatar is seeking a Data Analysis Specialist experienced in employee surveys and data analytics. The role involves designing and delivering surveys and using data insights to support communication and engagement activities.
- Position
- Data Analysis Specialist
- Company
- PPL Dynamics
- Location
- Doha, Qatar
- Industry
- Education, Training, Teaching, Academics
- Experience
- 1 to 20 years
Responsibilities
- Design, produce, and deliver impactful employee surveys.
- Use measurement, data, analytics, and insight for communication and engagement activities.
Requirements
- Experience working with employee surveys and related tools and approaches.
- Strong analytical skills and problem-solving abilities.
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About the role: Data Analysis Specialist
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
Data Analysis Specialists in the education sector collect and examine data related to student performance, teaching methods, and institutional effectiveness. They work in schools, colleges, universities, and educational organizations to support decision-making and improve learning outcomes.
What this role usually involves
- Gather and organize educational data from various sources.
- Analyze data to identify trends and patterns in student achievement.
- Prepare reports and visual presentations to communicate findings to educators and administrators.
- Collaborate with academic staff to develop strategies based on data insights.
- Maintain databases and ensure data accuracy and confidentiality.
Skills employers usually look for
- Strong analytical and critical thinking abilities.
- Proficiency in data analysis software and tools.
- Good communication skills to explain data findings clearly.
- Attention to detail and accuracy in handling data.
- Ability to work collaboratively with educational teams.
Usual qualifications
- A diploma or degree in statistics, data science, education, or a related field is usually expected.
- Knowledge of data analysis software such as Excel, SPSS, or similar tools.
- Training or certification in data management or educational assessment can be beneficial.
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