Lead Systems Analyst

About

You are responsible for leveraging your technical expertise to analyse complex data sets, develop algorithms, and provide insights that drive informed decision-making. Your role will involve working closely with cross-functional teams to understand business requirements, design solutions, and implement analytical models.

Role & 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.
• Develop or have knowledge of implementing statistical models, machine learning algorithms, and predictive analytics techniques to extract insights surrounding the 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 the 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.

Programming and Software Development

• Comfortable usings 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 and ensure scalability and reliability.

Project Management and Collaboration

• Work closely with cross-functional teams, including business, IT, analysts. and development teams to ensure requirements are accurately implemented.
• Participate in project planning, providing timelines and resource estimates for business analysis deliverables.
• Actively contribute to a communicative and collaborative atmosphere to facilitate successful project outcomes.

Quality Assurance & Testing

• Conduct unit tests, integration tests, and validation checks to ensure the accuracy and reliability of analytical models and software solutions.
• Collaborate with development and test team to develop testing strategies and automate testing processes where applicable.

Continuous Improvement

• Continuously seek improvements in processes and systems functionality.
• Stay updated with the latest trends in tools.

Documentation

• Establish and maintain comprehensive documentation for models, algorithms, and solutions contributing to the internal knowledge base.
• Ensure documentation is accessible and serves as a valuable resource for relevant stakeholders.

Competencies

• Applying expertise and technology to practical solutions.
• Problem solving acumen and analytically astute.
• Creating and innovating.
• Operate in compliance with the Quality Management System of the organisation.
• Adherence to risk management rules and procedures.
• Able to deal with complexity and migrate between detailed and high-level requirements.
• Able to manage ttime and stress.

Skills

• Strong proficiency in programming languages such as Python or R.
• Solid understanding of data structures, algorithms, and software development principles.
• Familiarity with Agile project management methodologies.
• Excellent critical thinking skills and ability to think analytically.
• Effective communication skills and ability to collaborate in a team environment.
• Excellent documentation skills, with the ability to create clear and detailed specifications.
• An initiative-taking and team-oriented approach, with a willingness to collaborate and share knowledge.

People Skills:

• Ensure manager/colleagues are happy with my contribution to group culture
• Share professional knowledge with organisation
• Clear / Strong communications to organisation via Teams / e-mail
• Promote Collaboration and Engagement
• Maintain good relationships with employees
• Deal with differences in opinion and interpersonal issues quickly, directly, respectfully
• Respect Confidentiality
• Has the ability to mentor others (including seniors)

Qualifications & Experience:

• 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 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.
• 6+ years of experience, at least 3 years of which you have worked as a senior System analyst
• At least 2 years experience leading a team
• Proven business analysis capability, working on multiple and complex projects.
• Proven project management capability.