Senior Business Intelligence Analyst

Careerwebsite; Dubai; On-site; AED 180,000 - 280,000; Full time

Job summary

Careerwebsite in Dubai seeks a Senior Business Intelligence Analyst to translate complex healthcare data into strategic insights. You will lead dashboards in Power BI, write advanced SQL, and mentor junior analysts.

Collaboration with clinical, operational, and executive leaders to drive data-informed decisions, apply HIPAA/HITECH practices, and contribute to data architecture and ETL discussions.

Qualifications

• Bachelor's degree required in a relevant field.
• Advanced Power BI and data modeling skills.
• Expert SQL and Python for data analysis.
• Healthcare data knowledge (HL7/FHIR) is a plus.
• Strong communication and storytelling abilities.

Responsibilities

• Leads design, development, and maintenance of dashboards using Power BI to support clinical ops, quality, finance, and population health.
• Writes and optimizes complex SQL queries across large healthcare datasets (EHR/EMR, claims, clinical, operational).
• Analyzes metrics like patient outcomes, readmission rates, LOS, and cost-of-care.
• Ensures HIPAA/HITECH compliance and data governance in analyses.
• Partners with clinical/operational/finance leaders to define KPIs and deliver insights.
• Uses Python (Pandas, NumPy, SciPy, scikit-learn) for data wrangling and modeling.
• Applies advanced statistics (regression, survival, cohort analysis) to evaluate outcomes and trends.
• Leads root-cause analysis on data quality and process inefficiencies.
• Mentors junior analysts on SQL, Python, and dashboard design.
• Drives automation of recurring reports and ETL improvements.
• Collaborates with data engineering on ETL pipelines and data warehouse design.

Skills

Power BI

SQL

Python

Statistics

Healthcare domain

Leadership

Data visualization

Communication

Mentoring

ETL

Education

Bachelor's degree in data science / health informatics

Tools

Tableau

Looker

Git

ETL tools

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

• Bachelor's 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.