Lead Systems Analyst

We are in search of a Lead Systems Analyst for one of our clients. The Lead Systems Analyst will be responsible for leveraging technical expertise to analyze 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.

Required Qualifications and experience

·       Domain Relevant certifications

·       Degree in Electrical Engineering, 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 visualization, 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.

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 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 visualization.

·       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 organization.

·       Adherence to risk management rules and procedures.

·       Able to deal with complexity and migrate between detailed and high-level requirements.

·       Able to manage time 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.