📊 Resolvendo na prática o Case Técnico para Analista de Dados do iFood!

Summary

This video series takes viewers through the process of tackling a technical case for a Data Analyst position at iFood, one of Brazil's leading tech companies. The series focuses on solving an open-scope problem using marketing data, where candidates are expected to derive actionable insights. Key steps include data exploration using Google Sheets, generating business-relevant insights, proposing strategic actions, visualizing data with Looker, and effectively communicating findings to both technical and business teams. The series is designed to build essential skills for aspiring data analysts, combining technical expertise with business acumen for impactful decision-making.

Takeaways

• 😀 The iFood data analyst case simulates a real-world challenge faced by data analysts at one of the biggest tech companies in Brazil.
• 😀 The case is designed to evaluate analytical skills, data visualization, and the ability to derive actionable insights from data.
• 😀 This challenge emphasizes the importance of working with open-ended problems, where the goal is to find valuable insights, not answer predefined questions.
• 😀 A strong focus is placed on the communication of insights, as you'll need to present both to technical and non-technical audiences.
• 😀 The case study includes an exploratory data analysis (EDA) where you'll uncover patterns, trends, and business opportunities in the data.
• 😀 The tools chosen for this case include Google Sheets for analysis and Looker for visualization, both free and accessible tools.
• 😀 The case is based on a marketing campaign dataset from iFood, but it is anonymized and meant to mimic real data analysis scenarios.
• 😀 The challenge involves transforming raw data into insights that can drive business decisions, especially in the marketing and marketplace contexts.
• 😀 The presentation of findings should include a clear explanation of the methods used and the rationale behind each decision made during the analysis.
• 😀 The series aims to teach how to structure a business data analyst case, from the initial data inspection to the final presentation.
• 😀 You’ll gain practical experience in using Google Sheets and Looker, which are widely used in marketing analytics and have native integrations with marketing tools.

Q & A

What is the main goal of this video series?

The main goal of this video series is to guide viewers through solving a technical case for a Data Analyst position at iFood, while teaching essential concepts, tools, and communication strategies used in data analysis and business insights.

What kind of company is iFood, and what role do Data Analysts play there?

iFood is a leading meal delivery app in Brazil, operating in over 1000 cities. Data Analysts at iFood work with large datasets to generate insights that optimize operations and improve user experiences, playing a crucial role in the company's growth.

What does the technical case for iFood focus on?

The technical case focuses on analyzing data from a marketing campaign at iFood, understanding the dataset, finding business opportunities, and proposing actions based on the data to improve campaign results and create value for the company.

What is a 'closed scope' question versus an 'open scope' question in the context of data analysis?

A 'closed scope' question provides a specific request (e.g., 'How many orders were made in the last week?'), while an 'open scope' question leaves the analysis open-ended, requiring the analyst to explore data and uncover useful insights without predefined questions.

What are the two types of evaluations in the technical case, and how do they differ?

The two types of evaluations are for 'Business Data Analyst' and 'Advanced Data Analyst'. The business-focused evaluation assesses the ability to generate business insights from data, while the advanced evaluation tests more technical skills in data manipulation and analysis.

What tools does the presenter choose for solving the iFood technical case, and why?

The presenter chooses the Google toolset (Google Sheets and Looker) because they are free, accessible online, and do not require powerful hardware, making them ideal for anyone with an internet connection to complete the analysis.

What is the importance of using business knowledge when solving the technical case?

Business knowledge, particularly in marketing and marketplaces, is crucial for generating actionable insights that align with the company's goals, helping analysts propose relevant actions that add value to the business.

How does the presenter define 'exploratory data analysis'?

Exploratory Data Analysis (EDA) involves examining a dataset to understand its structure, identify patterns, and generate insights without having a predefined hypothesis or specific question. It’s a critical first step in any data analysis process.

Why is it important to communicate technical findings effectively in a business setting?

Effective communication is crucial because data analysts need to present their findings to both technical and non-technical stakeholders. They must translate complex data insights into clear, actionable recommendations that drive decision-making.

What are the key factors recruiters at iFood are looking for in a candidate during a technical case interview?

Recruiters at iFood are interested in how candidates approach the problem, their problem-solving process, and their ability to explain the reasoning behind their choices. They value both technical expertise and the ability to communicate insights clearly to a business audience.