Junior Planning Analyst

Description

* Work end-to-end across the data lifecycle: extraction, processing, organization, analysis, and generation of insights for the commercial team. * Work with large, still poorly structured datasets, organizing and consolidating information from diverse sources. * Support the commercial and trade teams in identifying growth opportunities (e.g., positive positioning, market share, product mix, coverage, etc.). * Develop highly granular analyses (by customer, region, channel, and category), guiding focus and prioritization for the team. * Create and enhance managerial dashboards and reports, ensuring clarity and utility for decision-making. * Automate routines and processes whenever possible, increasing efficiency and scalability of the area. * Support building a more robust data infrastructure (e.g., dataset organization, evolution toward BI/Data Lake). * Actively participate in defining KPIs and metrics that truly drive business performance. * Document and keep updated the area’s workflows and processes. Requirements: What we seek: Essential Soft Skills * Analytical ability and logical reasoning to handle data at varying levels of structure. * Process-oriented mindset, with ability to understand existing workflows and design improvements. * Ability to manage multiple demands, prioritize effectively, and solve problems in a structured manner. * Strong communication skills to interact across departments, understand requirements, and translate needs into deliverables. * Autonomy and proactivity to learn new topics, propose solutions for continuous improvement, and self-manage in a fully remote work environment. * Hands-on profile, willing to engage both in building and analyzing. * Organizational skills for documentation, process recording, and control updates. Essential Hard Skills * Advanced Excel (formulas, pivot tables, data analysis). * Experience in data analysis and report development. * Experience with dashboard tools (Power BI, Looker Studio, or similar). Nice-to-have (not mandatory, but desirable): * SQL (queries and data manipulation). * Python applied to data analysis or automation. * Experience in process automation and AI agents.