Statistical Analyst

About the Role

The Statistical Analyst will play a key role in collecting, processing, and interpreting statistical data to aid strategic planning, assess organizational performance, and drive quality improvement initiatives within the Planning & Quality Department.

Primary Responsibilities

• Gather, verify, clean, and analyze data from various sources to guarantee accuracy and dependability.
• Conduct statistical analyses to uncover trends, patterns, correlations, and identify performance deficiencies.
• Create regular reports, dashboards, and summaries to inform management decisions.
• Assist in developing, tracking, and analyzing Key Performance Indicators (KPIs).
• Perform both descriptive and inferential statistical analyses supporting planning and quality projects.
• Participate in forecasting, predictive modeling, and performance evaluation using suitable statistical methods.
• Design and develop data visualizations and dashboards to effectively communicate insights.
• Support benchmarking, surveys, and research efforts through application of statistical methods.
• Ensure data quality by recommending enhancements to collection and reporting procedures.
• Collaborate with various internal teams to understand analytics needs and provide data-driven guidance.
• Use tools including SPSS, R, Python, SQL, Excel, and Power BI for statistical and business intelligence tasks.
• Prepare comprehensive technical documentation, reports, and presentations highlighting statistical results.
• Adhere to organizational data governance and maintain quality standards in reporting.
• Stay informed about new statistical techniques, software tools, and industry best practices.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Applied Statistics, Operations Research, or similar quantitative disciplines.
• Master's degree preferred.
• Valuable to have certifications in Data Analytics, Business Intelligence, SQL, Power BI, or relevant statistical software.

Experience

• At least 3 to 5 years of professional experience in statistical analysis, data analytics, BI, or performance evaluation.
• Preferable experience in strategic planning, quality management, or performance monitoring.
• Exposure to government or public sector environments considered an advantage.

Skills and Competencies

• In-depth understanding of statistical principles, quantitative techniques, and research approaches.
• Expertise in statistical software such as SPSS, R, Python, SAS and database querying with SQL.
• Proficiency with data visualization platforms like Power BI or Tableau.
• Strong analytical thinking, problem-solving capability, and meticulous attention to detail.
• Ability to interpret complex data and effectively communicate results to non-technical audiences.
• Excellent written reporting, presentation, and interpersonal communication skills.
• Well-organized with effective time management abilities.
• Collaborative team player committed to continuous professional growth in analytics and statistics.