How to write an exceptional data analyst CV

Data analysts are in high demand in today’s job market, and competition is fierce. Your CV needs to be tailored to showcase specific software and data-specific learnt skills in order to get the attention of hiring managers.

 

This guide will show you:

• Job titles for data analytics jobs
• Data skills to highlight on your CV
• Data analyst CV examples you can use

Data analysts collect and analyze raw data to gain new insights and conclusions about the information they’re analyzing. During your job search, you may see different job titles for this position. Job titles for data analysts can include:

• Data engineer
• Data scientist
• Business intelligence analyst
• Database administrator
• Statistician
• Database specialist

• Data modelling and visualization
• Oracle, Sybase, SQL
• Microsoft Excel
• Data collecting and cleaning
• Mathematics and statistics
• Computer programming languages
• Google Analytics
• Data mining and processing
• Business analysis
• Problem-solving
• Communication
• Logical Thinking

1. Data analysts must communicate in a structured way; use concise bullet points.

Using bullet points can make information like your work experience or work history easier to read. Bullet points can highlight your key achievements and tasks to make them stand out to the hiring manager.

 

Data Analyst Work Experience Example: Senior Data Analyst, XYZ Company – City, Country                              2014 to present

• Data collection, data modelling and database administration. 
• Created dashboards using tableau to sort data by key metrics and share data sets with other departments to improve processes and inform decisions.
• Led data warehousing effort and achieve a 6% increase in the rate of production as compared to prior initiatives and a19% annual reduction in freight fees.

2. Quantify your experience and achievements.

Use numbers and percentages to quantify your achievements. Adding a scale of comparison makes your accomplishments more impressive.

 

Data Analyst Achievement Example: Wrong: Optimised production with predictive machine learning.

 

 

Right: Increased production efficiency by 32% by implementing a predictive machine learning model. 

3. Use industry-specific terminology.

Industry-specific terminology and phrasing serve an important role. You don’t want to overuse acronyms or jargon, but the use of these terms can make your work experience or skill set clearer to an audience who is familiar with the data analytics industry. Listing advanced terms or skills can also signal what level of your career you are at.

 

Data Analytics Terminology Examples:

• Anonymization
• Batch processing
• Clustering analysis
• ETL
• Massively Parallel Processing (MPP)
• Predictive Modeling

4. Tailor your skills to the job post.

Your CV should include both soft skills and technical skills, but it should also emphasize specific analytical skills based on the requirements in the job posting. For data analytics, some generic skills may be left off of your CV in favor of more specialized skills.

 

Data Analyst Skills Section Example:

• Data visualization
• Data warehousing
• Problem-solving skills
• Programming languages (e.g., Python or SAS)
• SQL servers