😬 Why Your Data Skills Aren’t Cutting It Anymore

Check out this week's job openings!

Bienvenido a otra edición de LevelUp! Bem-vindo a mais uma edição da LevelUp! Thanks to all our 34,379 subscribers. Share this link with your colleagues!


  • Full-Stack Engineer (React/Python): This role invites you to develop features from front to back using React and Python, pushing boundaries in a fast-paced, high-quality environment.
    Salary: $5,000 - $6,000.

  • Sr. Backend Developer (PHP): Spearheaded new feature development and third-party integrations. 
    Salary: $4,000 - $5,000.
    Open to Brazil, Colombia, and Mexico. 

  • Facebook Ads Specialist: Propel care through innovative ad campaigns, crafting and managing strategies that enhance user engagement and sales.
    Salary: $1,500.

  • Email Marketing Specialist: Enhance diabetic care with your expertise in email and SMS marketing, driving engagement and educating customers on secure medical adhesive solutions.
    Salary: $1,500.

  • DevOps Engineer at Etleap: Advance your career by enhancing an innovative ETL tool within a dynamic IT environment. Perfect for DevOps professionals looking to impact data analytics significantly.
    Salary: $5,000 - $5,800.

  • Systems Administrator: Step into a key role where you will manage Linux systems for a leading logistics technology services company dedicated to optimizing transportation costs.
    Salary: $6,500 - $7,500.

Data analysis and visualization skills are crucial in your professional career. Pay attention to these practical tips and tools to turn data into your strongest asset, directly impacting your career growth. 

These tips are essential for all professionals because they cover skills that apply across different fields.

Foundations of Data Analysis and Visualization 📈

To get started with data analysis, know your data types: quantitative for numbers and qualitative for everything else.

For methods, start simple—organize and summarize your data to spot trends. Remember, the goal is to make data easy to understand, not to impress with complexity.

Quick tip: Keep visuals simple. Overcomplicating them can confuse your audience. Aim for clarity to ensure your data is easily understood.

🛠️ Top Tools for Data Analysis

To get started with data analysis, you need the right tools

  • Excel is great for simple tasks and quick insights. 

  • Tableau helps you make your data look good with cool dashboards. 

  • Power BI is good for digging into more complicated data. 

  • Python is a bit more advanced but flexible for working with data.

 If you're new, try a beginner’s tutorial on Tableau at their official training page. It's a great way to learn how to use one of the top tools out there.

🏗️ Building Your Data Skillset

To get better with data, start with online courses and go for certifications to show what you know. Work on real projects to use what you've learned. 

A top tip: get good at telling stories with your data. It's more than just numbers; it's about what those numbers mean and how they can help make decisions. 

Begin with small steps, keep at it, and every new thing you learn helps you move forward in your job.

Like this issue? Have you got questions or topics? Let's chat! Also, join our Discord community of 1,870 LATAM pros for career and networking tips. We're here to help you succeed!

Stephanie Cerf - Head of Community at TECLA.