Assistant Manager - Institutional Data, Analytics & Reporting
Aga Khan University (AKU)
Pakistan, Karachi
1d ago

Responsibilities

Reporting to the Director of Institutional Data, Analytics & Reporting, the Assistant Manager is responsible for identifying and gathering institutional admin data as well as providing evidence-based analyses and reporting to support strategic decision and institutional planning.

Specifically, you will be required to :

  • research, collect and analyse quantitative and qualitative information using statistical techniques for presenting and preparing management reports as well as providing background information to facilitate data-supported decision and policy-making by the AKU community
  • manage databases, including but not limited to acquire, develop, filter, clean, and update as well as coordinate with relevant stakeholders and data custodians
  • analyse, interpret, and disseminate survey results through a management report as well as a dashboard; also, provide support to relevant departments in administering surveys
  • develop, with support from data custodians, a common understanding of data definitions
  • support in financial management and annual planning process of academics through data management and analyses
  • provide training and assistance to end-users for generation and interpretation of reports as well as analyses
  • anticipate and identify current and future information needs of AKU and participate in the design and development of information systems to meet these needs including building a data repository / warehouse in collaboration with IT and data custodians
  • work with cross-departments to redesign and implement new and improved reports, databases and reporting systems.
  • You should have :

  • Master’s degree in related subject or ICMA / ACCA or equivalent from an HEC recognised or reputable foreign university
  • at least five years of related experience
  • strong analytical skills as well as communication (oral and written) and presentation skills with the ability to analyse and interpret complex data sets, and to make findings relevant
  • good knowledge of research methods, and data analysis methods
  • experience of programming languages, query languages, relational databases, statistical packages, and visualisation tools (e.
  • g., Power BI, SAS, SPSS, SQL, Python, Access, and Tableau)

  • proficiency with Windows-based software systems, particularly the Microsoft Office suite of productivity tools, including spreadsheets and pivot tables, database, presentation and word processing tools
  • proven ability to be resourceful in finding solutions to problems and capacity to handle multiple assignments with minimal supervision while adhering to critical deadlines
  • positive attitude, responsibility and commitment towards work, be a good team player, accurate, detailed-oriented and yet be able to view information from a broad global perspective
  • experience working with cross-department teams with the ability to work effectively to develop consensus and cooperative solutions.
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