Azure Data Analyst - Jordan (m/f/d)
Role Overview
Interpret complex data, identify trends and patterns, and develop reports and dashboards for business decision-making.
Work with stakeholders to improve data quality and operational efficiency, with particular attention to healthcare-sector insights.
Key Skills for This Role
Full Job Posting
Job purpose
Interpret complex data, identify trends and patterns, and develop reports and dashboards for business decision-making.
Work with stakeholders to improve data quality and operational efficiency, with particular attention to healthcare-sector insights.
Responsibilities
- Analyze data using statistical techniques and communicate trends, patterns, and business insights.
- Develop and maintain reports, dashboards, databases, and data collection systems.
- Gather, clean, validate, and troubleshoot data to ensure quality, consistency, and reliability.
- Support analytical, predictive, and machine learning models for healthcare operations and business performance.
- Use tools such as Tableau to prepare and present reports.
- Identify opportunities to improve healthcare service quality, operational efficiency, and cost performance.
- Work with stakeholders to prioritize reporting needs and support evidence-based decisions.
- Develop SQL queries and support data extraction, transformation, and reporting.
- Ensure reports and dashboards are accurate and aligned with business requirements.
Qualifications and experience
- Bachelor's degree in Computer Science or a related field; equivalent qualifications may be considered based on relevant experience.
- 4–7 years of experience in data analysis, reporting, and interpretation of complex datasets.
- Hands-on experience with SQL queries, data reporting, and statistical analysis.
- Healthcare industry experience is preferred; familiarity with healthcare regulatory KPIs is an advantage.
- Business intelligence tools, particularly Tableau, are preferred.
- Experience with predictive analytics, statistical modeling, and machine learning is advantageous.
Skills and competencies
- Strong analytical and statistical skills, attention to detail, problem-solving, and troubleshooting.
- Data analysis and reporting proficiency with Excel, SPSS, SAS, or equivalent platforms.
- Knowledge of SQL, database technologies, and data management practices.
- Ability to interpret large datasets and explain complex insights in business-friendly language.
- Strong report-writing, presentation, communication, and cross-functional collaboration skills.
- Ability to work independently, manage priorities, meet deadlines, and maintain quality.
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