IT Service Desk experience
design, maintain and optimise FIC's databases and its data to meet the business requirements while ensuring ensuring the security, compliance, and availability of data to the FIC's operations. KEY PERFORMANCE AREAS: scalable, reliable and performing databases and data structures meeting business requirements. • Database (DBMS) ensuring that the DBMS can handle the FIC's data requirements. • Database security - define and implement standards and data laws and regulations (e.g. POPIA) in order to minimise downtime and risk of data losses.
Key Responsibilities:
experience as a business analyst
experience in building Data Warehouse solutions
analytical skills with the ability to interpret data and make data-driven decisions.
optimise operational networks and servers, Oversee data backup and system security (e.g., user authorisation escalated by support teams, and/or clients. Ensure that data is handled, transferred, or processed according Understanding of network structures Understanding of data protection regulations Experience with DevOps tools
evidence relative to projects. Analysis of all relevant data, trending, and reporting activities on projects provide are effectively. protected. Analyse relevant data and review evidence gathered. Provide expert input project management system, ProofHub. Compilation of data and evidence gathered into comprehensive and concise
Requirements
7.2.1 Network Design – Data Collection:
Collecting, from Nokia and customer customer systems and documents, required data (network, sites, nodes, subscribers, configurations, services inputs for the design. Data cleansing and consolidation as required. Design data collection activities SoW
7.3.1 Survey: Data Sourcing, Data Collection, Populate Survey Template. Weighting
Design – Data Collection: Collecting, from Nokia and customer systems and documents, required data (network inputs for the design. Data cleansing and consolidation as required. Design data collection activities PART C - Project Specific SoW 7.3.1 Survey: Data Sourcing, Data Collection, Populate Survey Template. Weighting