Operations Data & Investigation Supervisor

Description

**Operations Data \& Investigation Supervisor** ----------------------------------------------- * Fixed\-term contract * Full\-time * At least 5 years of experience (Senior level) * Bachelor degree * Engineer **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** **Location****Address**2 El Hegaz St, Égypte