Role title: Business Analyst,
The role will be the liaison between business system users and the information technology team in as far as creating automated business solutions is concerned. The role holder will also be responsible for gathering, detailing and documenting business requirements in a format that is useful to business end users and technical developers, propose ways in which the existing processes and systems can be used or changed to meet new business requirements as well as point out and identify new systems needed to meet business requirements, within the context of a well established Enterprise IT Architecture.
Business Requirements Analysis
Carry out full business requirements discovery that includes interviewing relevant stakeholders and end-users.
Collect, classify, analyze and document business requirements as per set standards.
Create high-level solution designs to meet business requirements by exploiting the functionality available in IT systems already in Safaricom, or by filling missing gaps with appropriate new systems, in accordance with enterprise architecture
Collaboratively develop test-driven business requirements and functional specifications with business, technical, and testing team members.
Participate in technical/functional evaluation of bids for new systems
Ensure sensible consensus is reached for all requirements/specifications and help business, IT, and test leads to have the same mutual understanding thereof.
Business Process Documentation
Generate process documentation that clarifies and validates how the organization utilizes business systems to meet business requirements
Ensure that IT systems are aligned with Safaricom business processes, and engage business stakeholders in process reviews to ensure:
development costs for new business applications/products are reduced
quick reaction to urgent business needs, and any new regulations
Improved user/customer experience and quality assurance
Release Planning and Prioritization
Promote proper release planning, guaranteeing adherence to business needs and priorities and as a consequence, contribute to the reduction of development costs in future
Follow a prioritization process that is transparent and understandable for all parties involved
Keep stakeholders constantly up-to-date on progress
Verify that requirements are testable and generate testing objectives.
Review test cases for accuracy. Validate User Acceptance results conform to requirements
Degree in computer science, Information Technology or any other related Technical field.
Business analysis skills
Excellent systems analytical and communication (written and verbal) skills along with meeting facilitation skills
Logical and physical data modeling, relational databases.
Experience in writing formal Use Cases and other UML tools
Demonstrated experience producing requirements that support test-driven development.
Excellent communication skills: BAs must be able to listen to customers, document requirements quickly & accurately, and review written materials for accuracy. Must also be able to communicate specifications to person’s at all technical levels.
Expertise in enterprise architecture.
3+ years experience as a systems developer/business analyst in a busy IT development environment, 2 years of which must include experience in systems analysis.
Communication and interpersonal skills
Problem solving skills
Decision making skills
Desire to continually learn new skills
The data scientist’s role is to bring their expertise in advanced modelling techniques and mathematical methods; algorithm use and optimization; and data science technologies. The objective of the role is to understand the full spectrum of data feature retrieval, selection, and engineering; model technique selection and integration; interpretation of outputs; and development of recommendations.
The overall objective of the role is to help bridge the gap between technical platform needs ( i.e. big data engineering) and business needs. The engineer skews towards big data engineering but also brings more modelling capabilities than a pure big data software engineer.