شرح موقعیت
At Scalian, we are a leading multinational engineering consulting firm with 6,000+ specialists and over 35 years of experience. We are specialized in Digital Systems (IT & Software and Systems Engineering) and Industrial Performance (Quality Assurance, Supply Chain, and Project Management). Our expertise serves various technological sectors such as the aerospace, defense, rail, and energy industries while providing distinctive support to their development and operations. What will your role be? We are seeking a detail-oriented KPI Data Analyst to support data-driven decision-making by developing dashboards, analyzing performance metrics, and translating complex data into actionable insights. This role will focus on collecting, analyzing, and visualizing key performance indicators (KPIs) to help monitor business performance, identify trends, and support continuous improvement initiatives. The ideal candidate has strong analytical skills, hands-on experience with data visualization tools, and the ability to communicate findings clearly to stakeholders. Key Responsibilities Develop, maintain, and enhance interactive dashboards and reports to track KPIs and business performance. Collect, analyze, and validate data from multiple sources to ensure accuracy and consistency. Use data visualization and reporting tools to identify trends, performance gaps, and opportunities for improvement. Translate complex data into clear, actionable insights for business and operational stakeholders. Collaborate with cross-functional teams to define reporting requirements and establish meaningful performance metrics. Support ongoing reporting, data quality improvements, and process optimization initiatives. Minimum of 3 years of experience in data analysis, KPI reporting, dashboard development, or a related role. Hands-on experience with Microsoft Excel and at least one of the following: Power BI, Tableau, and/or SQL. Demonstrated experience developing dashboards, reports, and data visualizations. Ability to interpret data, identify trends, and communicate findings effectively to technical and non-technical audiences. Experience working in an industrial, manufacturing, or operations-focused environment is preferred but not required. A degree in Data Analytics, Information Systems, Business Analytics, Statistics, or a related field is preferred.