Back
Metro mid-level manager with common BI skills but niche real-estate focus yields medium competition.
Core analytics skills transfer well, but commercial real-estate/GCC preference raises sensitivity to medium.
Explicit years plus mandatory BI skills and real-estate exposure increases strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own and manage the full data lifecycle (ingestion, validation, transformation, reporting) for occupier and GCC-related real estate data.
Lead data governance, standardization, cleansing, and quality control to ensure >95% accuracy and consistency.
Supervise a small team (1-2 juniors), manage analytics delivery including dashboards and automated reporting using Power BI and Tableau, improving reporting efficiency by ~30–40% and reducing client turnaround time by ~25–30%.
5-7+ years of experience in data analytics, research, or consulting with exposure to commercial real estate (occupier/GCC focus preferred).
Experience managing data pipelines, ETL processes, and building data models and databases for real estate datasets.
Proficiency in data visualization tools such as Power BI and Tableau.
Work Experience Required: 5-7+ years in relevant fields as above. Notice period: Not explicitly mentioned in the JD.
Experienced in commercial real estate analytics focusing on occupier and GCC markets, enabling strategic client portfolio decisions.
Capable of overseeing data governance and automation programs to standardize and streamline reporting across multiple markets.
Comfortable working as a program manager and single point of contact (SPOC) while leading small teams and collaborating with senior stakeholders.