Halian · Abu Dhabi, AE
Posted:
Job Purpose We are looking for an experienced Data Analyst to interpret complex data, identify trends and patterns, and develop reports and dashboards to support business decision-making. The role involves working with stakeholders to improve data quality, enhance operational efficiency, and generate meaningful insights, particularly within the healthcare sector. The ideal candidate should have strong analytical and statistical skills, experience with data visualization tools, and the ability to transform large datasets into clear, actionable insights. Key Responsibilities Collect, interpret, and analyze data using statistical techniques to identify trends, patterns, and business insights. Develop and maintain reports, dashboards, databases, and data collection systems to improve data accuracy and efficiency. Gather data from primary and secondary sources and ensure its quality, consistency, and reliability. Clean, validate, and troubleshoot datasets to identify and correct data quality issues. Support the development of analytical models to understand healthcare operations and business performance. Prepare and present reports using data visualization tools such as Tableau. Analyze healthcare operational data to identify opportunities to improve service quality, operational efficiency, and cost optimization. Support the development of predictive models and machine learning algorithms. Use statistical tools and techniques to analyze datasets and support evidence-based decision-making. Work closely with business stakeholders and management to understand reporting requirements and prioritize analytical needs. Identify opportunities for process improvement through data analysis and reporting. Develop SQL queries and support data extraction, transformation, and reporting activities. Ensure reports and dashboards are accurate, relevant, and aligned with business requirements. Communicate analytical findings clearly to technical and non-technical stakeholders. Qualifications and Experience Education Bachelor's degree in Computer Science or a related field. Equivalent qualifications may be considered based on relevant experience. Professional Experience 4–7 years of experience in data analysis, reporting, and interpretation of complex datasets. Experience in the healthcare industry is preferred. Familiarity with healthcare regulatory KPIs and performance indicators is an advantage. Experience working with business intelligence tools, particularly Tableau, is preferred. Hands-on experience with SQL queries, data reporting, and statistical analysis. Exposure to data modeling, predictive analytics, and machine learning concepts is an advantage. Required Skills and Competencies Strong analytical and statistical skills, with excellent attention to detail. Proficiency in data analysis and reporting using tools such as Excel, SPSS, SAS, or equivalent platforms. Experience with data visualization and dashboard development, particularly Tableau. Good knowledge of SQL, database technologies, and data management practices. Ability to collect, organize, validate, and interpret large volumes of data. Strong problem-solving and troubleshooting skills. Ability to identify trends, patterns, anomalies, and opportunities for improvement. Excellent report-writing, presentation, and communication skills. Ability to explain complex data insights in simple, business-friendly language. Strong interpersonal skills and the ability to collaborate with cross-functional teams. Ability to work independently, manage priorities, and deliver accurate results within deadlines. Adaptability, continuous learning, and a proactive approach to process improvement. Professional attitude, integrity, and commitment to quality. Preferred Qualifications Experience analyzing healthcare operational data and regulatory performance indicators. Familiarity with healthcare information systems and data frameworks. Exposure to predictive analytics, statistical modeling, and machine learning. Experience supporting data-driven process improvement initiatives. #LI-SG1