Data Analyst

Position Summary This role supports operational performance, financial tracking, project analytics, and executive reporting through data analysis, dashboard development, and cross-functional coordination working directly with US teams. The position combines analytics, operational understanding, and strategic problem solving, enabling executive leadership to make informed, timely decisions. The individual will understand the firm’s operating model, performance drivers, and project financials converting data into actionable insights.

Key Responsibilities Operational Analytics & Reporting Develop and maintain dashboards and KPI tracking tools for revenue, utilization, backlog, resource forecasting, project performance, and profit margins. Analyse operational data across engineering, science, and construction disciplines and offices to identify trends, risks, and opportunities. Prepare weekly, monthly, and quarterly operational reports for executive leadership and board presentations.

Conduct variance analysis on budgets, forecasts, and project financials. Support data-driven decision-making through scenario modelling and performance forecasting. Project & Financial Data Analytics Monitor project performance metrics including net revenue, gross margin, labour multipliers, project write on/offs, and project profitability.

Assist in workload planning and capacity modelling across teams and offices. Identify process inefficiencies and recommend improvements based on data insights. Strategic & Operational Support Support US team on special projects including operational integration, system implementations, and performance improvement programs.

Assist in developing operational scorecards aligned with firm strategic goals. Conduct research and benchmarking on industry metrics and best practices. Coordinate cross-functional projects and ensure follow-through on executive priorities.

Familiarity with Excel and/or other data analysis tools such as SQL or Tableau a plus Comfortable in a fast-paced and deadline-driven environment Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL·E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation. Experience – 3 to 5 Years Number of positions: 2 Education Qualification Bachelor’s / Master’s degree in: Data Science Statistics Mathematics Computer Science Information Systems Engineering