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Operational Data Analyst

Job in Dubai, Dubai, UAE/Dubai
Listing for: TruDoc Healthcare LLC
Full Time position
Listed on 2026-03-15
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below

Overview

Tru Doc is a leading digital healthcare platform operating across the UAE and KSA, transforming how people access healthcare services. We provide 24/7 telemedicine consultations, chronic disease management, mental health support, laboratory services, and hospital-at-home care to over 25 million people across the region. Our mission is to deliver sustainable, equitable, and accessible healthcare through innovative technology solutions and exceptional patient care.

Role Overview

We are seeking a highly analytical and detail-oriented Operational Analyst to join our growing team. This role will be instrumental in optimizing our healthcare operations, analyzing performance metrics, and providing data-driven insights to improve service delivery, patient outcomes, and operational efficiency across our digital health platform.

Key Responsibilities

Data Analysis & Reporting

  • Design, develop, and maintain operational dashboards and reports using tools like Apache Superset, Tableau, or Power BI to track KPIs across telemedicine consultations, patient engagement, service utilization, and clinical outcomes
  • Analyze large healthcare datasets from EMR systems, appointment scheduling platforms, pharmacy operations, and laboratory services to identify trends, patterns, and improvement opportunities
  • Develop predictive models to anticipate patient demand, resource requirements, and operational bottlenecks

Process Optimization

  • Conduct deep-dive analyses of operational workflows including patient onboarding, consultation scheduling, prescription fulfillment, and lab test processing to identify
  • Work closely with clinical operations, technology, and product teams to implement data-driven process improvements that enhance patient experience and operational performance
  • Monitor and analyze patient journey metrics, drop-off rates, and engagement patterns to optimize conversion and retention across our digital health platform

Business Intelligence & Strategy

  • Support strategic planning initiatives by providing data analysis, market intelligence, and operational insights to senior leadership
  • Conduct competitive benchmarking and industry analysis to identify best practices in digital health operations
  • Collaborate with finance teams to analyze revenue trends, service utilization patterns, and cost optimization opportunities

Data Infrastructure & Quality

  • Work with data engineering teams to design and implement data pipelines, ETL processes, and data validation checks
  • Work on data governance practices and documentation standards using tools like Data Hub for metadata management

Stakeholder Collaboration

  • Partner with clinical teams, operations managers, and product owners to understand business requirements and translate them into analytical solutions
  • Present findings and recommendations to cross-functional teams and executive leadership through clear visualizations and actionable insights
  • Provide training and support to team members on analytics tools, reporting systems, and data interpretation
Required Qualifications

Education & Experience

  • Bachelor’s degree in Data Science, Computer Science, Business Analytics, Engineering, Statistics, or related field
  • 3+ years of experience in operational analysis, business intelligence, or data analytics role, preferably in healthcare, health tech, or fast-paced operational environments
  • Experience working with healthcare data systems (EMR/EHR), pharmacy operations, or telemedicine platforms is highly desirable

Technical Skills

  • Advanced proficiency in SQL (Postgre

    SQL, MySQL) for complex data querying, joins, aggregations, and query optimization
  • Strong Python skills for data analysis, manipulation, and automation (Pandas, Num Py)
  • Experience with business intelligence and data visualization tools (Apache Superset, Tableau, Power BI, Looker, or similar)
  • Proficiency in Excel/Google Sheets for data analysis, modeling, and reporting
  • Familiarity with workflow orchestration tools (Apache Airflow) and data pipeline development
  • Understanding of statistical analysis methods and experience with A/B testing

Core Competencies

  • Exceptional analytical and problem-solving skills with attention to detail and data accuracy
  • Strong…
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