Lead Systems Analyst

Mindworx Consulting; Midrand; On-site; ZAR 500 000 - 700 000; Full time

Job summary

A leading consulting firm in Gauteng is seeking a Lead Systems Analyst to leverage technical expertise in analyzing complex data sets and developing algorithms. The role involves close collaboration with cross-functional teams to design solutions and implement analytical models. Ideal candidates will possess a degree in relevant fields and experience in problem-solving and data manipulation. This position offers a dynamic work environment with opportunities for professional growth.

Qualifications

• Domain Relevant certifications.
• Proven record of experience with data manipulation and visualization.
• Exposure to the utility industry advantageous but not required.

Responsibilities

• Perform problem analysis to understand underlying causes.
• Develop insights and identify requirements for solutions.
• Perform exploratory data analysis (EDA) to understand data patterns.

Skills

Problem solving

Data manipulation

Data visualization

Statistical analysis

Machine learning

Education

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

Tools

Pandas

Job description

Summary

About the Position: We are in search of a Lead Systems Analyst in the Systems Analyst Team. The Lead Systems Analyst will be responsible for leveraging technical expertise to analyse complex data sets, develop algorithms, and provide insights that drive informed decision-making. The role will involve working closely with cross-functional teams to understand business requirements, design solutions, and implement analytical models.

Position Info

Typical Duties and Responsibilities:

Analysis, Modelling and Design:

• Perform problem analysis to understand the underlying causes, factors, and implications
• Develop insights and identify requirements for solutions.
• Perform exploratory data analysis (EDA) to understand data patterns, trends, and relationships

Qualifications:

• Domain Relevant certifications
• Degree in Electrical, Computer Science, Data Science, Statistics, Mathematics, or a related field

Work Experience:

• Experience in problem solving and root cause analysis.
• Exposure to the utility industry 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.

Project Experience:

• Proven business analysis capability, working on multiple and complex projects.
• Proven project management capability.