Lead System Analyst

Aica Consultancy; Gauteng; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A leading IT consulting firm seeks a Lead Systems Analyst for a full-time position in Johannesburg, Gauteng. The role involves analyzing system requirements, designing solutions, and managing software or hardware implementation projects. Candidates should possess relevant degrees and experience in statistical analysis, programming, and data manipulation. Aica Consultancy values innovation and effective technology strategies, offering a collaborative and results-driven environment.

Qualifications

• Domain relevant certifications are expected.
• Experience in problem solving and root-cause analysis is required.
• Exposure to the utility industry is advantageous but not mandatory.

Responsibilities

• Analyze system requirements and design solutions.
• Manage software or hardware implementation projects.
• Conduct exploratory data analysis to understand data patterns.

Skills

Problem solving

Root-cause analysis

Statistical analysis

Data manipulation

Data visualisation

Programming with Python or R

Education

Degree in Electrical Engineering, Computer Science, Data Science, Statistics, Mathematics or a related field

Tools

Statistical analysis libraries (e.g. Pandas)

Job description

Company Description

AICA Consultancy is a forward-thinking IT consulting firm that provides exceptional resource augmentation services across various expertise areas, including data modeling, data engineering, business analysis, business intelligence, senior IT project management, data architecture, and solution architecture.

AICA is committed to delivering high-quality services, helping businesses optimise their technology strategies, and achieving objectives seamlessly, while fostering innovation, collaboration and a results-driven approach.

Role

This is a full-time, on-site position for a Lead Systems Analyst located in the City of Johannesburg.

The Lead Systems Analyst will analyse system requirements, design solutions and manage software or hardware implementation projects, collaborating with cross-functional teams, providing technical expertise, troubleshooting system-related issues and ensuring alignment of systems with organisational objectives.

The role also involves documenting processes, supporting users and continuously evaluating and improving system performance.

Responsibilities

• Perform problem analysis to understand underlying causes, factors and implications.
• Develop insights and identify requirements for solutions.
• Perform exploratory data analysis (EDA) to understand data patterns, trends and relationships.
• Develop or have knowledge of implementing statistical models, machine learning algorithms and predictive analytics techniques to extract insights around business requirements.
• Conduct hypothesis testing and statistical inference to validate findings and assess model accuracy.
• Define the model in the context of the solution and create functional specifications.
• Create entity-relationship diagrams to visually represent entities, attributes and relationships in the system.
• Collaborate with a cross-functional team of business analysts, UI analysts and domain experts to define and document requirements.
• Be comfortable using programming languages such as Python or R to develop analytical tools, scripts and applications.
• Design and implement data pipelines for data ingestion, preprocessing, transformation and visualisation.
• Collaborate with software engineers to integrate analytical models into production systems, ensuring scalability and reliability.
• Apply proven business analysis and project management capabilities across multiple and complex projects.

Qualifications

• Domain relevant certifications.
• Degree in Electrical Engineering, Computer Science, Data Science, Statistics, Mathematics or a related field.
• Experience in problem solving and root-cause analysis.
• Exposure to the utility industry is advantageous but not required.
• Proven record of experience with data manipulation, data visualisation and statistical analysis libraries (e.g. Pandas).
• Proven application of machine learning frameworks and statistical modelling techniques.

Job Details

• Seniority level: Mid-Senior
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting
• Location: City of Johannesburg, Gauteng, South Africa