Responsibilities

• Deliver end-to-end management reporting and performance analytics, covering key business metrics such as revenue, productivity, conversion, customer engagement, and operational performance

• Translate business needs into analytical approaches, identify performance drivers, and provide actionable insights and recommendations

• Develop executive-ready insights and presentations, highlighting trends, root causes, risks, and opportunities

• Design, develop, and maintain interactive dashboards for various stakeholders across business functions

• Apply best practices in data visualization, including clear KPI structures, drill-down capabilities, user-friendly filtering, and consistent design standards

• Optimize dashboard performance through effective data modeling and efficient data processing techniques

• Build and maintain structured datasets and scalable data layers to support analytics and reporting needs

• Develop efficient and maintainable SQL and data transformation processes

• Implement data quality controls such as validation, reconciliation, and anomaly detection

• Integrate and manage data from multiple sources, ensuring reliability, accuracy, and timely availability

• Use programming tools (e.g., Python, SQL) to automate reporting processes and perform advanced analytics such as segmentation and forecasting

• Develop reusable analytics assets, including standardized KPIs, parameterized reporting templates, and shared code libraries

• Promote best practices in documentation, code quality, and reproducibility

• Collaborate with cross-functional stakeholders to gather requirements, prioritize work, and deliver solutions within timelines

• Communicate complex findings clearly to support business decision-making

• Ensure compliance with data governance standards, including data privacy, access control, and audit requirements

Requirements

• Bachelor’s degree in a quantitative field such as statistics, analytics, computer science, or a related discipline

• Minimum 5 years of experience in data analytics, data engineering, reporting, or related areas

• Experience in performance analytics within a commercial, digital, or service-oriented environment is preferred

• Proficiency in at least one of the following: SQL, Python, or VBA

• Strong understanding of data modeling concepts, including KPI design, data structures, and data quality controls

• Experience in building scalable, production-grade reporting and analytics solutions

• Familiarity with data visualization tools (e.g., Qlik, Tableau, Power BI, or similar) is an advantage

• Strong ownership mindset and service-oriented approach

• Good project management skills, including planning, prioritization, and risk management

• Strong analytical thinking, problem-solving skills, and structured communication abilities

• Proficiency in English; additional languages are a plus