How to write a Business Intelligence 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.
Business Intelligence Analyst job title
A great job title typically includes a general term, level of experience and any special requirements. The general term will optimise 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 specialised, consider including the specialisation 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 Business Intelligence Analyst job titles
Business Intelligence 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 Business Intelligence Analyst job summary
Our collection agency has a need for Business Intelligence Analyst with experience in data analytics and metrics optimisation. We are interested in furthering our data collection and analysis practices, so you will be responsible for instituting new policies, procedures and programs from the ground up. We’ll need you to hire data analysis professionals to assist you in putting the data we collect to practical use, with the end goal of maximising profits and increasing our efficiency. You’ll be responsible for processing several different types of data, including those related to our website and online presence.
Business Intelligence 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 organisation and who the employee reports to.
Examples of Business Intelligence Analyst responsibilities
Review and validate customer data as it is collected
Oversee the deployment of data to the data warehouse
Develop policies and procedures for the collection and analysis of data
Create or discover new data procurement and processing programs
Cooperate with our IT department to deploy software and hardware upgrades that make it possible for us to leverage big data use cases
Monitor analytics and metrics results
Hire a Data Architect to initiate and maintain data deployment
Implement new data analysis methodologies
Review customer files to ensure integrity of data collection and utilisation
Perform data profiling to identify and understand anomalies
Business Intelligence 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 Business Intelligence Analyst skills
Bachelor’s degree in business, business intelligence or related field required (master’s degree in business administration preferred)
7+ years’ experience in a business intelligence role
3+ years’ experience a supervisory capacity, preferably within business intelligence or data analysis
Ability to understand and find appropriate applications for data and analysis results
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