Analyste Avancé.e

« Pour visualiser la description de poste en français, veuillez sélectionner le français, "Select Language" dans le menu déroulant au haut de la page. » **Job Objectives** - Translates business needs and disambiguates requests and transforms them into analytics projects to help inform business decisions. - Oversees and implements the complete data analytics process, from data collection to implementing data-driven recommendations. - Drives the development of predictive and prescriptive analytic models to identify trends and opportunities. - Spearheads the design and implementation of complex machine learning models and algorithms to tackle business challenges. - Provides data-driven insights and recommendations to senior leadership, playing an instrumental role in strategic decision-making. - Leads cross-functional teams in the development and implementation of strategic data projects, ensuring alignment with overall company objectives. - Innovates new data analysis methodologies and tools for improved efficiency and accuracy. - Establishes and enforces data governance protocols to ensure data integrity, security, and compliance. - Evaluates and aids in selecting tools, technologies, and platforms for data analysis and machine learning. - Advocates for a data-driven culture across the organisation, fostering a deeper understanding and appreciation for the value of data and analytics. - Designs and implements a robust, reliable, and highly effective telemetry system that accurately collects and transmits crucial in-game data, enhancing game performance and user experience. - Ensures seamless integration of the telemetry system with each studio’s game systems, guaranteeing compatibility and optimal performance. - Develops and maintains a high-capacity data pipeline for efficient handling, processing, and analysis of the collected telemetry data, ensuring data integrity, security, and accessibility. - Performs various analyses/researches based on the requests and characteristics received from the users/clients, so that they can define the specifications necessary to develop/update/improve the informatic systems. **Responsibilities** - Applies advanced statistical analysis to craft insightful reports for stakeholders and partners with top management to define data analysis objectives. - Utilizes expert Data Science techniques to scrutinize and analyze data, with a comprehensive understanding of descriptive statistics for data aggregation and summarization. - Oversees and manages data analysis projects, creating forecasting models, and examining trends for strategic decision-making purposes. - Supervises the creation and administration of machine learning solutions, guaranteeing the production of superior, optimized algorithms. - Drafts complex technical scripts, standardizes data values for data analytics systems, and assesses new data analysis tools and technologies. - Proactively investigates data complications and works on rectifying them while tracking critical performance indicators. - Heads the data cleaning, mapping, and shaping processes and delivers intricate data insights in a clear, effective manner. - Articulates clearly with all stakeholders, understanding and ensuring adherence to organizational data policies and structures. - Systematically identifies and directs the implementation of business process improvements, contributing to strategic planning at an executive level. - Suggests and executes solutions with mínimal supervision, actively engaging in cross-discipline collaborations. - Authors and revises various materials, explaining intricate statistical concepts in an easy-to-understand language for non-technical stakeholders. - Directs the design and execution of data visualization strategies, ensuring expedited decision-making and continuous improvement within the data analysis function. - Manages tasks effectively, identifying problems early, and employing past experiences and creativity to problem-solving. - Gives and welcomes constructive feedback, coaches team members, and manages his/her own time efficiently. - Coaches both junior and senior analysts in choosing suitable tools for data extraction and analysis, ensuring efficient dataset management. - Participates in and often leads recruitment and selection processes for new team members. - Cooperates with different internal and external cross-functional teams to comprehend their future needs in terms of KPIs, and then architect and develop the telemetry system to align with those KPIs; - Works closely with game developers and designers to comprehend the game mechanics, player behaviour, and adjust the implementation process around those areas; - Oversees the implementation process and the data aggregation / pipeline creation to ensure that all necessary data is accurately captured and properly formatted to answer future questions; - Cooperates with the QV team to test telemetry under different scenarios and ensure it correct