If you’re testing out your data skills and have decided that you’re best suited for a data analyst role (perhaps our quiz can help), then you’ve come to the right place for a discussion of the data analyst job description. See what roles and requirements lie in the role, and see what a sample data analyst job description looks like and how it should be composed.
Roles and Responsibilities in a Data Analyst Job Description
A data analyst will often be called upon to turn numbers into insights. They’ll be responsible for processing large sets of data and connecting that with actions that can drive business impact. You’ll need to be able to explore data, process it, and think very deeply about how to communicate your findings to management.
You’ll have to know how to:
1- Collect data by using a scripting language such as SQL.
2- Explore and analyze datasets with tools like Excel.
3- Visualize data insights and communicate your findings to teams across the organization.
What is an example of this data analyst job definition in action?
I once worked a data analyst position at a pharmaceutical company: the day-to-day involved working in Excel to filter and select sales by drug type. I’d visualize the insights and either present the findings to managers or send the slides up to my manager to present to the executive team. I always tried to find ways to automate processes and ways of treating data, and I spent a lot of time thinking about what the data represented and cleaning and processing it such that nobody could question the integrity of the data itself. In many ways, this is typical of the data analyst job experience across the board.
Sample Data Analyst Job Description
This data analyst job posting comes from Airbnb. You can see how the first part of the job description involves a standard description of the company and its priorities: it’s looking for ways to expand growth in China with an analyst who deeply understands the meaning behind datasets Airbnb might be collecting in China.
The traits Airbnb values for data analysts are fairly standard: business/domain knowledge that allow for the analyst to understand the context and meaning behind the data they are plotting. Strong analytical thinking and communication skills that accelerate the progress of data to actionable goals. Familiarity with both data querying languages and data visualization tools such as Tableau. The ability to create dashboards that upper management can consult at will that tell their own data stories.
You’ll want to master these skills and tools if you want to become a data analyst.
Here’s your learning path forward to fill the data analyst job description:
Technical skills: Learn Excel, SQL and Tableau. Deskbright offers a great blog with tons of free Excel resources. Mode Analytics offers a great resource to learn SQL interactively. Tableau offers a free training module.
Math/stats skills: Learn the basics of statistics and probability with KhanAcademy.
Communication skills: The book Resonate will help you create visuals with your data that will move people to impact.
PS: We have a Data Analytics for Business workshop that might be a good fit for you! You’ll learn Excel, SQL, and Tableau with an industry expert. Most importantly, you’ll hone the analytical mindset and business knowledge that will help you turn think sheets of data into actionable wins for your company.