Senior Business Intelligence Analyst

American Hospital Dubai; Dubai; On-site; AED 350,000 - 520,000; Full time

Job summary

American Hospital Dubai is seeking a Senior Business Intelligence Analyst to translate complex healthcare data into strategic insights. The role demands expertise in Power BI, SQL, Python, and advanced statistics, with the ability to mentor analysts and partner with clinical and executive leadership.

You will design dashboards, optimize queries, ensure HIPAA-like data governance, and drive data-informed decisions across clinical operations, finance, and quality programs in a fast-paced

Qualifications

• Bachelor's degree in data science, statistics or health informatics.
• Advanced Power BI and data visualization skills, including DAX and data modeling.
• Expert SQL skills with complex joins, windows, CTEs and optimization.
• Strong Python skills for data analysis and modeling (Pandas, NumPy, SciPy).
• Healthcare familiarity and knowledge of HIPAA/HITECH data governance desirable.
• 5+ years in healthcare analytics and experience with EHR/EMR data.

Responsibilities

• Leads design, development and maintenance of advanced dashboards and reports using Power BI.
• Writes and optimizes complex SQL queries across large healthcare datasets.
• Analyzes metrics such as patient outcomes, readmissions, LOS, and cost-of-care.
• Ensures data governance and regulatory compliance in analyses and reporting.
• Partners with clinical, operations, finance and executives to define KPIs and deliver insights.
• Uses Python for data wrangling, automation and predictive modeling.
• Applies statistical techniques to evaluate outcomes and cost trends.
• Mentors junior analysts on SQL, Python and dashboard design.
• Drives automation of recurring reports and improves data pipelines.
• Collaborates with data engineering on ETL and data warehouse design.

Skills

Power BI

SQL

Python

Statistical analysis

Data storytelling

Leadership

Education

Bachelor's degree in data science / health informatics

Tools

Tableau

Looker

Qlik

Job description

Job Description:

The Senior Business Intelligence Analyst will bring deep expertise in Power BI (or similar BI tools), advanced proficiency in SQL and Python, and a command of statistical analysis, along with the ability to translate complex healthcare data into strategic insights. This role requires someone who can work independently, mentor junior analysts, and partner closely with clinical, operational, and business leaders to drive data-informed decision-making.

Responsibilities

• Leads the design, development, and maintenance of advanced dashboards and reports using Power BI (or Tableau/Looker/Qlik) to support clinical operations, quality, finance, and population health initiatives
• Writes and optimizes complex SQL queries across large healthcare datasets (EHR/EMR, claims, clinical, operational data)
• Analyzes healthcare-specific metrics such as patient outcomes, readmission rates, length of stay, utilization, cost-of-care, and quality measures (HEDIS, CMS Star Ratings, etc.)
• Ensures compliance with healthcare data regulations (HIPAA, HITECH) and data governance best practices in all analyses and reporting
• Partners with clinical, operations, finance, and executive leadership to define KPIs, identify data needs, and deliver actionable insights
• Uses Python (Pandas, NumPy, SciPy, scikit-learn) for advanced data wrangling, automation, and predictive/statistical modeling
• Applies advanced statistical techniques (hypothesis testing, regression, survival analysis, risk adjustment models, cohort analysis) to evaluate clinical outcomes, cost trends, and operational performance
• Leads root-cause analysis on data quality issues, workflow inefficiencies, and performance gaps within clinical/operational processes
• Mentors and provides technical guidance to junior/mid-level analysts on best practices in SQL, Python, and dashboard design
• Drives automation of recurring reports and process improvements to enhance data pipeline efficiency
• Collaborates with data engineering teams on data architecture, ETL pipelines, and data warehouse design as needed

Qualifications

• Bachelors degree in data science, statistics, health informatics, computer science, or related field.
• Advanced proficiency in Power BI or similar BI/visualization tools (Tableau, Looker, Qlik Sense), including DAX and data modeling
• Expert-level SQL skills (complex joins, window functions, CTEs, query optimization, stored procedures)
• Strong Python skills for data analysis and statistical modeling (Pandas, NumPy, SciPy, scikit-learn)
• Advanced understanding of statistical methods (regression analysis, hypothesis testing, A/B testing, predictive modeling)
• Familiarity with healthcare data standards and terminologies (ICD-10, CPT, HCPCS, HL7/FHIR) is highly desirable
• Working knowledge of HIPAA and healthcare data privacy/compliance requirements
• Proven ability to lead projects end-to-end and manage stakeholder relationships independently
• Excellent communication and storytelling skills - able to translate technical/clinical data into insights for non-technical executives.
• 5+ years of experience as a Data Analyst, with significant experience in the healthcare industry (payer, provider, health system, or health-tech)
• Experience with claims data, EHR/EMR systems (Epic, Cerner, etc.), or clinical data warehouses
• Exposure to value-based care, population health management, or quality reporting programs (HEDIS, MIPS, Star Ratings)
• Experience with cloud platforms (Azure, AWS, or GCP) and modern data warehousing (Fabric Snowflake, Redshift, BigQuery)
• Familiarity with machine learning applications in healthcare (risk prediction, readmission models)
• Experience with version control (Git) and Agile/Scrum methodologies
• Prior experience mentoring or leading a small analytics team.

Requirements: