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Data Analyst Job Description

Use this comprehensive Data Analyst job description to help you attract candidates with the right skills to perform in your business. This job description template is optimized for easy posting to online job boards or career pages.

How To Write A Data Analyst Job Description

Once you’ve determined the skills required for the role, you can write a job description to advertise your position to job seekers. Here’s what to include in a Data Analyst job description:





To find the best person for the role, you need to understand what the role involves. Before creating a Data Analyst job description, we recommend building your ideal Data Analyst Skills Profile. You can complete this skills profile with the hiring manager to define the role, contribution, and skills needed. Here are some examples of skills to include in your Data Analyst job description:

Data Classification

Data Models

Critical Thinking

Data Analyst Job Description

Are you a Data Analyst who is passionate about analysing business critical data and providing recommendations to your client or employers?

Data Analyst Job Description Summary

Our organisation is looking for a Data Analyst who is extremely well organized and enjoys identifying, collecting and interpreting data. You will work as part of a team to assist the organisation improve outcomes through your findings. You will need to be a fast learner and able to adapt to different situations frequently.

About Your Company

[Insert 3-4 sentences summarizing what your company does. Share your mission, vision, and a little bit about your product or service.]

Data Analyst Job Responsibilities

As a Data Analyst at our company, you will:

Data Analyst Job Requirements

Our ideal Data Analyst will have:

Pro Tip

In building your candidate profile, remember you’ve already identified what skills are needed to succeed in the role. Here’s where to list your “must-have” skills and maybe a couple of “nice-to-have” skills. For example, a Data Analyst should have experience with R Programming since it’s extremely useful for statistics and data modelling.

Data Analyst Benefits

Pro Tip

Ensure that the entire recruitment process, from the job description to assessment to interview, reiterate your company vision and values. This will help you identify the right people for the role, and applicants will know whether your company is the right fit for them.