About usPlatzi is the largest technology school in the Hispanic world with over 5 million students and 4,000 companies trusting us to deliver effective online education.
Our mission is to make Latin America a technology superpower.
We do it by training companies and individuals in areas such as AI, Cybersecurity, English, Programming and Leadership.
As an industry leader, our presence is highlighted by our massive and fanatic community, extensive press coverage and a daily stream of success stories from students.
We operate mostly remote, with key offices in Bogotá, Medellín and Mexico City.
SummaryPlatzi is looking for aFinancial Planner (Data Analyst)to drive data-driven financial decision-making.
This role will be responsible for analyzing financial performance, identifying areas of improvement, and optimizing processes through automation and simplification.
The Financial Planner will play a key role in forecasting, budgeting, and supporting strategic financial initiatives.
Description As aFinancial Planner (Data Analyst), you will support the financial health of Platzi through clear data analysis and reporting.
You will work closely with leadership to identify areas for improvement, simplify processes, and build models that help predict and shape our financial future.
This role requires a strong analytical mindset, proficiency in data management, and the ability to communicate complex financial information in a clear, actionable way.
Collaboration with finance, product, and operations teams will be crucial for ensuring alignment with business goals.
If you're passionate about generating financial insights and have a love for data, this role is for you.
You'll have the opportunity to leverage data-driven decision-making to impact the financial strategy at Platzi.
Qualifications5+ years of experiencein financial planning, data analysis, or related roles with a strong focus on finance and data-driven decision-making.Proficiency in financial modelingand forecasting, with the ability to present insights to stakeholders.Experience with automationand process improvement, demonstrating the ability to simplify and streamline workflows.Hands-on experience with data analysis toolssuch as Excel, Google Sheets, and business intelligence platforms (Power BI, Tableau, or Looker).Proficiency in SQLfor data extraction, manipulation, and report generation.Experience with Pythonis a plus for data analysis, automation, and financial modeling.Bilingual in English and Spanishwith strong written and verbal communication skills.
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