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The successful candidate will be given the critical responsibility of developing a comprehensive framework for data analysis. This includes the creation of Key Performance Indicator (KPI) reports, the design of intuitive dashboards, the maintenance of financial data, and the generation of Management Information System (MIS) reports. These responsibilities span across various IT domains, including but not limited to, IT Service Management (ITSM).
In addition to these duties, the candidate will also be responsible for managing vendor relationships, which includes the creation and evaluation of Request for Proposals (RFPs). This aspect of the role requires a keen understanding of the business needs and the ability to effectively communicate these needs to potential vendors.
Responsible for developing, establishing, and implementing policies and frameworks for Data analysis.
Identify, analyse, and interpret trends or patterns within complex datasets. Purify data and review computer-generated reports and convert the reports to more intuitive easy understandable format.
Develop data dashboards, charts, and visual aids to support decision-making across departments.
Working in collaboration with diverse stakeholders to understand their data needs for analysis and providing tailored solutions that cater to their specific business requirements.
Responsible for managing vendor relationships and assisting various stakeholders in the RFP process, including but not limited to, governance and financial data management.Creating a comprehensive data bank that serves as a foolproof single source for financial maintenance and AOP management.
A bachelor’s degree in computer science, Information Management, Statistics, or a similar field is necessary. Having previous experience in data analysis or a related area would be beneficial.
Must possess a robust understanding of SQL, Python, R, JavaScript, Scala, and other languages necessary for data analysis.
Working knowledge on various BI tools like Excel, Power BI & Tableau, Qlik view etc. will be an added advantage.
Proven Track record and hands-on experience on Data Cleaning and Preparation, Data Analysis and Exploration, and Statistical Analysis.
An understanding and practical knowledge of AI/ML applied to data sets would be an added advantage.
Director IT Operations Strategy
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