Associate Data Analyst

Job Requirements

Job Title: Associate Data Analyst

Function/Department: Data & Analytics

Job Purpose

The role identifies business needs and builds analytical tools and methods. Will also develop test strategies and will Ensure delivery outcomes for specific business asks on Data Analytics

Job & Responsibilities

• Identify and scope business requirements and priorities through rigorous information gathering and analysis as well as clarification of the solutions, initiatives, and programmes to enable effective delivery.
• Monitor and integrate emerging technology trends and developments, structured data gathering for the identification of new and emerging technological products, services, and techniques.
• Specify and create data structures, including the setting of various parameters that can be modified to suit different structured and unstructured data requirements, the design of data flow, as well as the development of mechanisms for maintenance, storage and retrieval of data based on the business requirements.
• Develop and implement guidelines, processes, and norms across the organization for the handling of data at various stages in its lifecycle as well as the provision of advice on proper data handling and resolution of data breaches in a range of complex, ambiguous or multi-faceted contexts
• Design solution blueprints and structures to guide the development of tech solutions to meet current and future business needs.
• Manage stakeholder expectations and needs by aligning those with requirements and objectives of the organization.
• Develop a test strategy and systematic test procedures to verify and ensure that solution meets its design specifications as well as the performance, load and volume levels set out.
• Identify and evaluate digitization and innovative business opportunities provided by new advancements in data & analytics to establish new services or businesses to bridge the physical and digital worlds.
• Develop, select and apply analytical tools and advanced computational methods to enable systems to learn, improve, adapt and produce desired outcomes or tasks.
  
  

• Development analytical tools and deployment
• Business use cases