How to hire exploratory data analysts
Whether it’s providing summary statistics for each field in a data set with a univariate analysis or also factoring the relationships between fields with a multivariate analysis, exploratory data analysts are here to help.
So how do you hire exploratory data analysts? What follows are some tips for finding top exploratory data analysis consultants on Upwork.
How to shortlist exploratory data analysis professionals
As you’re browsing available exploratory data analysis consultants, it can be helpful to develop a shortlist of the professionals you may want to interview. You can screen profiles on criteria such as:
- Data analytics tools YYou want an exploratory data analyst who understands the statistical techniques and data visualization tools needed to analyze your data set.
- Project experience. Screen candidate profiles for specific skills and experience (e.g., creating 3D scatter plots with R).
- Feedback Check reviews from past clients for glowing testimonials or red flags that can tell you what it’s like to work with a particular exploratory data analyst.
How to write an effective exploratory data analysis job post
With a clear picture of your ideal exploratory data analyst in mind, it’s time to write that job post. Although you don’t need a full job description as you would when hiring an employee, aim to provide enough detail for a contractor to know if they’re the right fit for the project.
An effective exploratory data analysis job post should include:
- Scope of work: From box plots to violin plots, list all the deliverables you’ll need.
- Project length: Your job post should indicate whether this is a smaller or larger project.
- Background: If you prefer experience with certain industries, statistical techniques, or data analytics tools, mention this here.
- Budget: Set a budget and note your preference for hourly rates vs. fixed-price contracts.
Ready to launch your exploratory data analysis project? Log in and post your exploratory data analysis job on Upwork today.
EXPLORATORY DATA ANALYSTS FAQ
What is exploratory data analysis?
Exploratory data analysis (EDA) is an open-ended approach to data analysis that involves applying statistical and graphical techniques to discover insights and trends. The primary goal of EDA is to use visual methods to discover what data can tell us beyond formal models or hypotheses.
Here’s a quick overview of the skills you should look for in exploratory data analysis professionals:
- Exploratory data analysis
- Data science, analytics, and visualization
- Data analytics tools (e.g., R, NumPy, Spark)
Why hire exploratory data analysts?
The trick to finding top exploratory data analysts is to identify your needs. Is your goal to generate scatter plots of raw data sets to visually identify possible trends for further analysis? Or did you have something more specific in mind, such as performing a univariate visualization on a raw data set to summarize statistical characteristics of a single variable? The cost of your project will depend largely on your scope of work and the specific skills needed to bring your project to life.
How much does it cost to hire an exploratory data analyst?
Rates can vary due to many factors, including expertise and experience, location, and market conditions.
- An experienced exploratory data analyst may command higher fees but also work faster, have more-specialized areas of expertise, and deliver higher-quality work.
- A contractor who is still in the process of building a client base may price their exploratory data analysis services more competitively.
Which one is right for you will depend on the specifics of your project.