Translate the company's OKRs into clear, structured, and measurable analytical initiatives, ensuring a direct connection between data and business outcomes;
Proactively identify opportunities, anticipate analyses, and propose actions that drive strategic metrics;
Explore and analyze large volumes of data to generate actionable insights and support business decision-making;
Develop efficient data queries and extractions (SQL), ensuring quality, reliability, and speed in data delivery;
Build and evolve dashboards and reports that communicate results clearly, concisely, and with an action orientation;
Support the prioritization of initiatives based on data, contributing to continuous monitoring of OKRs;
Partner with business areas (including Legal), understanding requests and translating needs into practical, targeted analyses;
Communicate results, analyses, and recommendations clearly and confidently to different audiences, including leadership;
Continuously seek improvements in processes, tools, and analyses to raise the company’s analytical maturity.
Requirements
Degree in a quantitative field (Information Systems, Business Administration, Economics, Statistics, Computer Science, or related);
Knowledge of business metrics and performance tracking (OKRs, financial indicators, etc.);
Familiarity with data platforms such as Snowflake (a plus);
Knowledge of Python for data analysis (a plus);
Experience with data visualization tools (e.g., Power BI) for building dashboards and tracking KPIs;
Proficiency in SQL for manipulating, extracting, and analyzing large-scale data (essential requirement);
Strong analytical skills, business acumen, and the ability to translate data into practical actions;
Excellent communication skills, with clarity and confidence to present insights and influence decisions;
Tech Stack
Python
SQL
Benefits
Meal and food allowance (if preferred, both allowances can be combined onto a single meal card);