Business Intelligence Consultant

2 weeks ago


Doha, Baladīyat ad Dawḩah, Qatar University of Doha for Science and Technology Full time

University of Doha for Science and Technology (UDST) is the first national applied University in the State of Qatar, offering applied Bachelors and Master's degrees in addition to certificates and diplomas in various fields.

UDST has over 50 programs in the fields of Engineering Technology and Industrial Trades, Business Management, Computing and Information Technology, Health Sciences, Continuing and Professional Education and more.

With more than 600 staff and over 6,000 students, UDST is the destination for top-notch applied and experiential learning. The University is recognized for its student-centered learning and state-of-the-art facilities.

Our faculty are committed to delivering pedagogically-sound learning experiences with incorporation of innovative technological interventions, to further enhance students' skills and help develop talented graduates that can effectively contribute to a knowledge-based economy and make Qatar's National Vision 2030 a reality.

Your Commitment


Other key responsibilities of this role are to define the data validation process through quality assurance and testing framework and contribute towards the architecture, building, deployment and testing of enterprise data warehouses, data structures (such as data marts and data lakes); to support exploratory data analysis, statistical analysis, and predictive analytics, and machine learning models.


Qualifications:

Education and Experience Requirements

Education

  • Bachelors degree in IT or related field is required
  • Masters degree and/or professional certification is preferred
Experience

  • Minimum 8 years of experience in mining, analyzing, synthesizing, cleansing and presenting data from Higher Education Systems; and data analytics platforms, preferably Microsoft Power BI.
  • Minimum 8 years' experience in the implementation of business intelligence solutions in the Higher Education Sector.
  • Experience with transformation/ETL processes; possess knowledge of data attributes, data governance, quality, maintenance, and visualization best practices; leverage different best practices as needed.
  • Proficient in data sourcing, predictive analytics, modeling, simulation, dashboard development and data visualization (e.g., MS Power BI, Tableau, QlickView).
  • Experience in developing presentations and presenting to various stakeholder groups including management.
  • Possess ability to identify data quality issues, patterns, options, visualize findings and communicate insights.
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