Operations Data & Investigation Supervisor
# Operations Data & Investigation Supervisor **RATP Dev** · Cairo · `On-site` 🕒 **Статус:** *Опубликовано: 20 дней назад* · *Источник: Indeed* --- ### About the Role Fixed-term contract Full-time At least 5 years of experience (Senior level) Bachelor degree Engineering/Maintenance Manager/Expert Operations Data & Investigation Supervisor Mission JOB PURPOSE: The Operations Data & Investigations Supervisor is responsible for overseeing daily data analytics activities to support operational efficiency and business decision-making. The role involves managing the development of data standards, deploying automation tools, supervising the construction and analysis of datasets, and ensuring data is clean, accurate, and actionable. This position plays a critical role in transforming raw data into strategic insights through statistical analysis, visualization, and cross-departmental collaboration to inform investigations and operational improvements. Profile RESPONSIBILITIES/DUTIES Data Analytics Oversight Supervise daily data analytics operations to ensure timely and accurate delivery of datasets that inform operational and business strategies. Oversee the construction of data sets to support trend analysis, strategic insights, and informed decision-making across the organization. Lead efforts to build processing capacity and develop team capabilities in statistical modeling, analytical methodologies, and data interpretation. Data Standards and Automation Develop and implement data standards to ensure consistency, reliability, and integrity of data used in operational analysis. Deploy and manage automation tools for efficient extraction, transformation, and loading (ETL) of data from various internal and external sources. Data Preparation and Analysis Manage the data cleaning and preparation process, including filtering, managing missing data, and formatting datasets for accurate analysis. Conduct data exploration and statistical analysis to uncover patterns, relationships, and emerging trends that support continuous improvement initiatives. Data Visualization and Reporting Create visual representations of data insights through charts, graphs, and dashboards to enhance data comprehension and stakeholder engagement. Prepare clear and concise reports and presentations that translate complex data findings into actionable recommendations for decision-makers. Cross-Functional Collaboration Collaborate with various departments to understand their data needs, translate business requirements into analytical solutions, and support data-driven decision-making. Act as a key liaison between operations, investigations, and business units to ensure data analytics efforts align with organizational objectives. ESSENTIAL QUALIFICATIONS, KNOWLEDGE & EXPERIENCE QUALIFICATIONS: Bachelor’s degree in Engineering, Computer Engineering, or a related field. High proficiency in English (spoken and written) is required. KNOWLEDGE: Solid foundation in statistics and data interpretation. Proficient in tools such as Excel, SPSS, SAS, Power BI, Tableau, and SQL. Skilled in data analysis languages (e.g., Python, R). Familiar with data preparation techniques, including cleaning and handling missing values. Understanding of basic machine learning concepts for predictive analysis. Capable of developing dashboards and reports for business insights. Experienced with database systems and data visualization best practices. EXPERIENCE: 3 to 5 years of relevant experience in data analytics, or operations analysis, preferably within a supervisory or coordination role. DESIRED BEHAVIORS & EXPERIENCES Analytical Mindset: Approaches problems with data-driven thinking, using evidence and analysis to guide decisions. Attention to Detail: Ensures data accuracy, quality, and completeness in all stages of analysis and reporting. Proactive Leadership: Anticipates challenges in data management and takes initiative to improve processes and tools. Effective Communicator: Clearly conveys complex data insights through visualizations, reports, and presentations tailored to various stakeholders. Collaborative Attitude: Works closely with different teams to understand their needs and provide actionable data support. Adaptability: Responds flexibly to shifting priorities, data demands, and evolving business requirements. Integrity and Confidentiality: Handles sensitive data with professionalism, ensuring ethical standards and data privacy are maintained. Continuous Improvement: Seeks opportunities to enhance data analytics capabilities and adopt best practices in tools, methods, and technologies. Location LocationAddress 2 El Hegaz St, Égypte Location LocationAddress 2 El Hegaz St, Égypte
Наблюдалась 2026-09-15, впервые 2026-08-26, найдена на 2 площадках, источник — Indeed.