Data Analyst- Project Performance

Description
Zutari: Co-creating an engineered impact.
We co-create engineering solutions that have a positive impact and improve people's lives. Zutari values inclusion and recognises the importance of a diverse, talented workforce, believing that people need other people to succeed.

What kind of talent do we pursue?
We employ people with the right attitude and a positive mindset, who are motivated by doing the right thing, getting things done and share a sense of urgency. People who have an impact in our teams and broader community. People who think differently and connect with those around them to co-create new opportunities and leave a meaningful legacy.

The Data Analyst- Project Performance Role is responsible for collecting, processing and analysing engineering project data to support project, programme, portfolio and business unity decisions, optimise processes and improve project performance within Zutari (provide expert advice in terms of resource optimization and project profitability). This Project Performance role will work closely with engineers, project managers, and other stakeholders to turn data into actionable insights.

Role Responsibilities

• Collect, clean, and validate large datasets from financial and project management systems and databases.
• Perform statistical analysis and data modelling to identify trends, anomalies, and opportunities for improvement on projects in different business environments.
• Develop dashboards and reports to visualize key performance indicators (KPIs) and engineering project metrics.
• Draft specialist feasibility analysis, evaluations of business projects and advises on the optimisation of resources and profitability of projects resources.
• Conduct special studies and prepares recommendations for policy, procedure, control or actions.
• Collaborate with executives, project managers, engineers and project controls, to understand data needs and translate technical requirements into analytical solutions.
• Make recommendations to management regarding project, programme and portfolio analysis and performance.
• Support predictive maintenance, quality control, and process optimization initiatives.
• Automate data collection and reporting processes using identified tools.
• Ensure data integrity and compliance with industry standards and regulations.

Minimum Requirements

• Bachelor's degree in either engineering, data science, statistics, computer science or a related field
• Minimum5 years of experience in data analysis, preferably in an engineering environment.
• Proficiency in data analysis tools.
• Strong understanding of statistical methods and engineering principles.
• Experience working with engineering software will be advantageous.
• An understanding of machine learning techniques and tools will be advantageous

Skills, And Characteristics

• Advanced Ms Office Proficiency:
• Communication skills: Ability to effectively present complex data insights and technical findings to diverse stakeholders, in a clear and concise manner. This includes the ability to adapt messaging for different audiences, including project managers, finance teams and executives.
• Business and Financial Acumen: Understands the financial and operational drivers of engineering consulting projects. Aligns data analysis with business goals, project KPIs, and profitability metrics to support strategic planning and performance improvement.
• Systems and Tool Proficiency: Experienced with data tools and platforms such as SQ, Python and Java Script. Leverages automation and scripting to streamline data workflows.
• Data Visualisation and Reporting: Proficient in creating clear, interactive dashboards and reports using tools like Power BI, Tableau, or Excel. Translates complex data into visual formats that support decision-making for technical and non-technical stakeholders.
• Problem Solving and Critical Thinking: Ability to uses data-driven approaches to identify root causes of project performance issues. Make Recommendations with actionable solutions based on quantitative evidence and scenario analysis.
• Planning and Organisation skills: Ability to manage multiple data projects and reporting cycles simultaneously. Ability to Structure work efficiently to meet deadlines and support ongoing project reviews and business reporting.
• Attention to detail: Ability to maintain high accuracy in data handling, validation, and reporting. Ensuring data integrity and consistency across multiple systems and regions, minimizing errors in performance tracking.
• Programming: The ability to efficiently use code to collect, clean, analyse and generate actionable insights.
• Report writing and data visualisation: The ability to clearly and accurately communicate data-driven insights and recommendations in a structured and audience-appropriate format and the ability to create charts, graphs, and dashboards to communicate findings.

We believe that a diverse workforce is key to our business success. We seek the best people for our jobs based on their skills, qualifications, and experience. We embrace the principle of equal opportunity in employment, and we work towards eliminating all forms of unlawful discrimination in our employment practices. In support of diversity and the equal opportunity principle, preference will be given to individuals from designated groups within South Africa.