How to write a Data Analyst job description
Your job description is the first touchpoint between your company and your new hire. With millions of people searching for jobs on Indeed each month, a great job description can help you attract the most qualified candidates to your open position. To get you started, here are some tips for creating an effective job description.
Data Analyst job title
A great job title typically includes a general term, level of experience and any special requirements. The general term will optimize your job title to show up in a general search for jobs of the same nature. The level of experience will help you attract the most qualified applicants by outlining the amount of responsibility and prior knowledge required. And if your position is specialized, consider including the specialization in the job title as well. But avoid using internal titles, abbreviations or acronyms to make sure people understand what your job posting is before clicking.
Examples of Data Analyst job titles
Data Analyst job summary
A great job description starts with a compelling summary of the position and its role within your company. Your summary should provide an overview of your company and expectations for the position. Outline the types of activities and responsibilities required for the job so job seekers can determine if they are qualified, or if the job is a good fit.
Example of a Data Analyst job summary
Our growing technology firm is looking for an experienced Data Analyst who is able to turn project requirements into custom-formatted data reports. The ideal candidate for this position is able to do complete life cycle data generation and outline critical information for each Project Manager. We also need someone who is able to analyze business procedures and recommend specific types of data that can be used to improve upon them.
Data Analyst responsibilities and duties
The responsibilities and duties section is the most important part of the job description. Here you should outline the functions this position will perform on a regular basis, how the job functions within the organization and who the job reports to.
Examples of Data Analyst responsibilities
Use statistical methods to analyze data and generate useful business reports
Work with management team to create a prioritized list of needs for each business segment
Identify and recommend new ways to save money by streamlining business processes
Use data to create models that depict trends in the customer base and the consumer population as a whole
Work with departmental managers to outline the specific data needs for each business method analysis project
Data Analyst qualifications and skills
Next, outline the required and preferred skills for your position. This may include education, previous job experience, certifications and technical skills. You may also include soft skills and personality traits that you envision for a successful hire. While it may be tempting to include a long list of skills and requirements, including too many could dissuade qualified candidates from applying. Keep your list of qualifications concise, but provide enough detail with relevant keywords and terms.
Examples of Data Analyst skills
Bachelor’s Degree in Mathematics or Computer Engineering
2+ years’ data mining experience
4+ years in a data analyst role
Ability to collaborate effectively and work as part of a team
Strong attention to detail
Ready to hire
a Data Analyst ?
*Indeed provides this information as a courtesy to users of this site. Please note that we are not your recruiting or legal advisor, we are not responsible for the content of your job descriptions, and none of the information provided herein guarantees performance.