Analyste Avancé.e

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**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