This Exploratory Data Analysis (EDA) test evaluates a candidate's ability to understand and statistically interpret data to derive actionable insight. This hiring test helps you identify candidates well versed in EDA and various statistical analyses.

Exploratory Data Analysis (EDA) requires a balance of creativity, cleverness, and deep knowledge of statistical analysis. An expert EDA practitioner must also quickly learn and internalize the nuances and needs of varying industries and businesses. This hiring test focuses on feature engineering, data visualization, and statistical analyses to identify candidates who excel at intermediate EDA.

A strong exploratory data analyst converts business problems to data science problems and uses data and visualisations to create and test solution-driven hypotheses. This screening test presents example datasets across industries and asks candidates to choose actions to solve issues and respond to questions typical for EDA practitioners.

This Exploratory Data Analysis (EDA) test assesses a candidate’s ability to work with data from start to finish.

This screening test evaluates a candidate's ability to:

- Extract key information

- Develop various kinds of data visualisations to identify trends

- Understand and interpret various kinds of data types

Candidates who perform well on this screening test will have a strong understanding of EDA and a practical ability to perform various kinds of data analysis. This is an intermediate test designed for someone with 2-3 years’ experience with EDA.

Use this hiring test to find the next Exploratory Data Analyst who will leverage your business analytics to increase efficiency and increase revenues.