Statistical Analyst
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Key skills for this role
About the Role
A confidential organization in Doha is seeking a Statistical Analyst to collect, analyze, and interpret data to support strategic planning and quality improvement.
Key Skills for This Role
Responsibilities
- Collect, validate, clean, and analyze data from multiple sources
- Perform statistical analyses to identify trends, patterns, correlations, and performance gaps
- Prepare periodic statistical reports, dashboards, and analytical summaries for management
- Support development, monitoring, and analysis of Key Performance Indicators (KPIs)
- Conduct descriptive and inferential statistical analyses for planning and quality initiatives
- Assist in forecasting, predictive analysis, and performance modeling
- Develop data visualizations and dashboards to communicate analytical findings
- Collaborate with internal departments to understand analytical requirements
Requirements
- Bachelor's degree in Statistics, Mathematics, Data Science, Economics, or related quantitative field
- 3 5 years of experience in statistical analysis, data analytics, or business intelligence
- Proficiency in statistical software such as SPSS, R, Python, or SAS
- Experience with data visualization tools like Power BI or Tableau
- Strong analytical, problem solving, and critical thinking skills
- Excellent attention to detail and data accuracy
- Ability to interpret complex datasets and communicate findings clearly
Full Job Posting
Role Overview
- The Statistical Analyst is responsible for collecting, analyzing, and interpreting statistical data to support strategic planning, organizational performance measurement, and quality improvement initiatives.
- The role provides analytical insights, develops statistical reports, and supports evidence based decision making through the application of statistical techniques and data analysis methodologies.
Key Responsibilities
- Collect, validate, clean, and analyze data from multiple sources to ensure accuracy and reliability
- Perform statistical analyses to identify trends, patterns, correlations, and performance gaps
- Prepare periodic statistical reports, dashboards, and analytical summaries for management
- Support the development, monitoring, and analysis of Key Performance Indicators (KPIs)
- Conduct descriptive and inferential statistical analyses to support planning and quality initiatives
- Assist in forecasting, predictive analysis, and performance modeling using appropriate statistical techniques
- Develop data visualizations and dashboards to communicate analytical findings effectively
- Support benchmarking studies, surveys, and research projects by applying statistical methodologies
- Monitor data quality and recommend improvements to data collection and reporting processes
- Collaborate with internal departments to understand analytical requirements and provide data driven recommendations
- Utilize statistical and business intelligence tools such as SPSS, R, Python, SQL, Excel, and Power BI
- Prepare technical documentation, reports, and presentations summarizing statistical findings
Qualifications
- Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Applied Statistics, Operations Research, or a related quantitative field
- Master's degree is preferred
- Professional certifications in Data Analytics, Business Intelligence, SQL, Power BI, or statistical software are an advantage
Experience
- 3–5 years of experience in statistical analysis, data analytics, business intelligence, or performance analysis
- Experience supporting strategic planning, quality management, or performance measurement is preferred
- Experience in government or public sector organizations is an advantage
Knowledge, Skills & Competencies
- Strong knowledge of statistical concepts, quantitative analysis, and research methodologies
- Proficiency in statistical software such as SPSS, R, Python, SAS, and database tools such as SQL
- Experience with data visualization tools including Power BI or Tableau
- Strong analytical, problem solving, and critical thinking skills
- Excellent attention to detail and data accuracy
- Ability to interpret complex datasets and communicate findings clearly to non technical stakeholders
- Strong report writing, presentation, and communication skills
- Good organizational and time management skills
- Ability to work collaboratively within cross functional teams
- Commitment to continuous learning and professional development in analytics and statistics
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