Data Analyst

What is a data analyst?

The role is typically part of a data, product, engineering, or analytics team. The main objective of a data analyst is to use data to extract insights and help an organization make data-driven decisions to reach its goals.

Part of the job as a data analyst is to gather data from internal or external sources, clean and structure relevant parts of the database, and interpret selected data to identify patterns, trends, and other insights. In addition, data analysts may also present findings and insight to a company's key positions and stakeholders. The role of a data analyst can often be equated to the idea of “using data to tell a story.”

In conclusion, a data analyst plays a critical role in helping stakeholders, often across the entire business, understand data. Findings and insights based on selected data can then function as a guide for making relevant decisions that contribute to a company’s growth and success.

At The Org we have analyzed the organizational structure of tens of thousands of companies. As a result, we’ve collected information on the typical salary range, job requirements, and typical profiles of who currently works as a data analyst.

Let’s take a look at the data.

How much does a data analyst make?

According to Glassdoor, the average salary of a data analyst across industries in the United States is $70,410/yr.

However, not all industries are created equal. According to the data, the highest average salary for a data analyst is found in the financial services industry: $74,916/yr.

What are the job requirements of a data analyst?

The job requirements for a data analyst typically include:

• A bachelor’s or master’s degree in data analytics or a related field, such as mathematics, statistics, economics, computer science, data science, or information science.
• Excellent analytical and problem-solving skills.
• The ability to handle complex data and use appropriate statistical methods and techniques to structure and analyze different types of data.
• Proficiency in using programming languages, such as Python, R, or SQL, as well as data visualization tools, such as Tableau, Looker, or Microsoft Power BI.
• The ability to communicate and visualize findings to technical and non-technical audiences clearly and concisely.
• A detail-oriented approach to ensure the accuracy and completeness of analyses.

Meeting a data analyst

It’s one thing to know the requirements of a role — it’s another to see yourself in it. At The Org, we believe that putting faces to the job title can provide more context and a better sense of how the role fits into the big picture.

Explore live positions for data analysts and meet the people behind the title here.

Hiring a data analyst

Is your org looking to hire a data analyst?

If so, you may benefit from reading our comprehensive 10-step guide on recruitment and hiring. In this guide, you’ll learn all about the hiring process. From writing your job description, to developing candidate sourcing strategies, to common interview questions, to writing a job offer letter — we’ve got you covered from start to finish.

At The Org, we believe traditional recruiting is in need of a refresh. Candidates want to know who they’ll work with, not just what they’ll do. Workplace culture, interpersonal relationships, and company values are more important now than ever.

And what better way to showcase your company’s unique culture than through your Org Chart?

Highlight different teams in your organization, the people that make these teams great, and show candidates how they fit into the big picture.

Your Org Chart is a novel and effective way to show candidates where they fit in, and to show off your greatest asset: your people.

Explore Org Charts here, and sign up today to create your own customized Org Chart for your company.