Are you looking to hire a data analyst at your organization?
A data analyst can be a very jack of all trades type role. Each analyst has a unique skillset, so you want to make sure your data analyst job description is specific and tailored to your needs in the role.
We’re going to explore what a data analyst does, the skills needed, and provide two customizable data analyst job description templates you can use.
Before you hire a data analyst, you need to know exactly what the role entails.
A data analyst collects, cleans, and analyzes data from various sources across the organization to help leadership make more informed, data-driven business decisions. The data could be marketing and sales, employee engagement, or operations data. There are a wide variety of data analyst roles, which is why it is important to write a job description that fits your needs.
The top three skills every data analyst needs are Microsoft Excel, SQL, and data visualization skills. However, no code analytics tools are starting to become more robust and have the ability to analyze data without the technical knowledge previously necessary.
A bachelor’s degree in mathematics, computer science, statistics, and/or economics will help you achieve a career in data analysis. If you have a track record of data science skills through your own portfolio, you might be able to get a business analyst job with no bachelor’s degree. Many data analysts end up being data scientists later in their careers.
Most data analysts know how to code and have knowledge of some programming languages at least a little bit. They’ve definitely been trained in Excel and SQL because they need to run queries and visualize data.
A typical junior data analyst salary ranges from $47,000 - $90,000 based on location, skills, and experience. An average salary for a more senior analyst position is $72,000 - $210,000.
Because the salaries are so varied, it is important to understand the type of data analyst your team needs.
Every junior data analyst should have these skills and take on these responsibilities. Junior analysts often have bachelor’s degrees in business administration, economics, mathematics, or computer science.
The junior analyst will be responsible for researching, analyzing, and tracking business requirements. They will craft solutions for queries and create presentations for stakeholders to make daily decisions. Responsibilities may include data cleaning, generating survey statistics, programming for ad hoc analyses, and preparing data documentation. This role will also be responsible for training new team members on different software and helping IT if and when needed.
Every junior analyst role is different. Responsibilities can range from general data work to collaboration with IT and other technical departments. Overall, the business analyst role is designed to help organizations get more out of their existing data to drive organizational change.
It’s good to know the skill difference between a junior analyst and a senior data analyst. Oftentimes, this role will have a master’s degree in computer science, mathematics, or economics.
The senior data analyst is responsible for building and deploying data management applications and systems. As a senior data analyst, this role will lead collaboration with data management teams, product teams, engineering and marketing to design and build data-forward solutions. This includes building ETL tools, SQL and NoSQL databases, and using cloud tools like AWS. This role involves rapid innovation in the design and development of data pipelines, data-marts, and graph databases. We are looking for someone with strong hands-on coding and design experience in all layers of a full data stack. This role communicates directly with executives and influences their decision making process.
Whether your organization is brand new to hiring a data analyst or you already have a team full of them, we hope these job descriptions will help you craft your own unique data analyst job description.
Check out our 101 companies hiring business analysts to get even more inspiration.
Shanif Dhanani is the co-founder & CEO of Apteo. Prior to Apteo, Shanif was a data scientist and software engineer at Twitter, and prior to that he was the lead engineer and head of analytics at TapCommerce, a NYC-based ad tech startup acquired by Twitter. He has a passion for all things data and analytics, loves adventure traveling, and generally loves living in New York City.