Lead System Analyst

We are looking for a Lead System Analyst with strong technical expertise to analyse complex data sets, develop algorithms, and deliver actionable insights that support data-driven decision-making.

• Conduct in-depth problem analysis to uncover root causes and implications.
• Identify solution requirements and extract insights through exploratory data analysis (EDA).
• Apply statistical models, machine learning algorithms, and predictive analytics to meet business needs.
• Conduct hypothesis testing and assess model accuracy through statistical inference.
• Define models within the solution context and produce functional specifications.
• Create Entity-Relationship Diagrams (ERDs) to represent data structures.
• Collaborate with business analysts, UI analysts, and domain experts to document comprehensive system requirements.

• Develop analytical tools, scripts, and applications using languages such as Python or R.
• Design and implement data pipelines for ingestion, preprocessing, transformation, and visualisation.
• Collaborate with software engineers to integrate models into production systems ensuring scalability and reliability.
• Work closely with business, IT, and development teams to translate requirements into technical deliverables.
• Participate in project planning and provide estimates for analysis deliverables.
• Foster a collaborative and communicative project environment to ensure successful outcomes.

• Conduct unit tests
  , integration tests
  , and validation checks to ensure the accuracy of analytical models.
• Collaborate with QA teams to develop and automate testing strategies where possible.
• Continuously evaluate and improve existing systems and processes.
• Stay current with evolving tools, trends, and best practices in analytics and system design.

• Create and maintain clear, accessible documentation for models, algorithms, and systems.
• Contribute to the organisation’s internal knowledge base with high‑quality technical documents.

• Proficient in Python or R.
• Strong understanding of data structures
  , algorithms
  , and software development principles.
• Familiarity with Agile methodologies
  .
• Skilled in data manipulation, visualisation, and statistical analysis (e.g.,
  Pandas
  ).
• Hands‑on experience with machine learning and statistical modelling frameworks.
• Excellent written and verbal communication skills.
• Strong documentation and specification writing capabilities.
• Collaborative team player with a proactive attitude.

• Bachelor’s degree in electrical engineering,
  Computer Science
  , Data Science
  , Statistics
  , Mathematics
  , or a related field.
• Domain‑relevant certifications (advantageous).