Data Analyst Skills

Use a simple, clean format that highlights your skills and experiences. Focus on readability by using bullet points and short phrases to present your skills. Properly organize your resume into education, experience, and skills sections.

“Adding a skills section to your resume is a great way to draw the recruiter’s attention to your most relevant strengths and competencies.”

– Ashley Watkins, NCRW, NCOPE, Job Search Coach

For example, a data analyst’s bullet points might look like this:

• Enhanced product development by leveraging data analysis techniques to understand customer behaviors and preferences.
• Streamlined inventory management by applying analytics to forecast demand trends.
• Automated data cleaning and preprocessing tasks using Python, increasing productivity by 20%.

Hitting all the top job requirements with your skills list will help you rank highly for a keyword search within an applicant tracking system. But don’t stop there. Add context for every skill elsewhere in your work experience. If a recruiter is excited by data analysis in your skills section, they’ll first skim your work experience to figure out when, how, and how much you used that skill.

As you list your responsibilities, it’s also important to highlight your specific achievements wherever you can.

“For soft skills, it’s often more effective to demonstrate them in the context of your past work experience. Instead of merely stating “excellent team player”, you are better off saying “collaborated with a cross-functional team of 6 on a new product launch that boosted sales by 30% in one year”. Examples of specific accomplishments or business outcomes speak louder than buzzwords.”

– Ana Lokotkova, Career Coach and Advisor

Instead of saying,

“Automated data cleaning and preprocessing tasks.”

You could say,

“Automated data cleaning and preprocessing tasks using Python, increasing productivity by 20%.”

Using these detailed and quantified statements, you can effectively highlight your Python skills and achievements, making your resume more attractive to potential employers.

If you’re applying for a role requiring a broad skillset, categorize your skills.

“If you opt to include a designated skills section on your resume, include up to 10 of your core competencies. Excessive skills lists are overwhelming and sometimes confusing to the reader.”

– Kelli Hrivnak, Marketing and Tech Recruiter

For instance, someone applying for a data analyst role might benefit from segmenting their skill lists as follows:

Technical and Programming Skills:

• Python: Utilized Python programming to handle large datasets, automate data processing tasks, and execute advanced analytical functions.
• Excel: Leveraged advanced Excel functionalities to manage, analyze, and visualize data, significantly increasing efficiency in data interpretation.

Data Analysis and Reporting Skills:

• Data Analysis: Deployed various data analysis techniques to interpret complex data, facilitating informed decision-making.
• Reporting: Designed comprehensive and clear data reports, successfully communicating insights to technical and non-technical stakeholders.

Data Visualization and Communication Skills:

• Tableau: Employed Tableau to create insightful data visualizations and enhance understanding of complex data trends.
• Communication Skills: Effectively translated complex data into understandable insights, fostering cross-functional collaboration and data-driven decision-making.

Statistics and Computer Science Skills:

• Statistics: Applied statistical methodologies for interpreting data, providing actionable insights for business growth.
• Computer Science: Leveraged computer science principles to optimize data processing, storage, and retrieval, boosting efficiency in data operations.

Analytical and Technical Skills:

• Analytics: Implemented tools to dissect complex datasets, driving strategic decision-making processes.
• Technical Skills: Demonstrated proficiency in SQL, R, and other data manipulation languages, enhancing data quality and consistency.

Please note that while the skills are largely the same, the way they’re categorized and presented can make a significant difference in how they’re perceived by potential employers.

This method of categorizing skills allows potential employers to understand your diverse expertise quickly and makes your resume more readable.

Use numbers to quantify your achievements wherever possible. This helps potential employers understand your abilities and the impact you can have on their organization.

“Recruiters and hiring managers are looking for relevancy of how and when you applied those skills, so provide examples of this in your experience section. Bonus tip: Don’t just insert the skill like a task–include results.”

– Kelli Hrivnak, Marketing and Tech Recruiter

Instead of saying,

“Used Google Analytics to analyze customer behavior.”

You could say,

“Used Google Analytics to analyze customer behavior and website traffic, leading to a 20% increase in customer conversions.”

Using numbers gives hiring managers a better sense of your value and demonstrates your expertise in the data analyst role.

Quantifying your achievements makes your resume more compelling and effectively communicates the impact you can have on a potential employer’s organization.

Read the description carefully and emphasize the relevant skills and experiences. Highlight the skills that the employer seeks and provide examples of how you’ve used those skills in your previous roles. Doing so can demonstrate that you’re a strong fit for the position and increase your chances of being invited to an interview.

“The ‘one-size-fits-all’ approach doesn’t work when it comes to your resume. For every job application, tailor your skill set to match the job description. Most companies use Applicant Tracking Systems (ATS) that filter candidates based on keywords and skills listed in the job description. So, research the role you’re applying for and distill the skills required.”

– Ana Lokotkova, Career Coach and Advisor

In order to do this, “you must first understand what skills are most important for the target role,” says Ashley Watkins.

Job Title: Data Analyst at XYZ Pharmaceuticals

Requirements:

Proficiency in data analysis and interpretation. Proficiency in Python and Excel.

Knowledge of Tableau and other data visualization tools

Tailored Resume Description:

• Over 5 years of experience as a Data Analyst in the pharmaceutical industry, specializing in data interpretation, reporting, and visualization.
• Proficiency in Python and Excel, allowing for effective handling and automation of large datasets.
• Strong track record in utilizing Tableau for data visualization, translating complex data trends into understandable insights.
• Experience in applying statistical methodologies to interpret data and provide actionable insights, driving significant business growth.

By tailoring your resume in this way, you can demonstrate that you have the specific skills and experiences the employer is looking for, thus increasing your chances of getting an interview.

“Focus on the sought-after and in demand skills. A great way to figure out what is currently in demand is by researching current job openings from your preferred companies and reading through the posting. Pay close attention to the preferred requirements section and build your skills section based on this list.”

– Chelsea Jay, Career & Leadership Development Coach – Seasoned and Growing

Start each bullet point with an action verb. An action verb expresses an action, such as “create,” “build,” “manage,” “lead,” or “implement.”

Action verbs grab the reader’s attention and paint a vivid picture of what you accomplished at work.

Action verbs make your resume more interesting to read. They also show the kind of can-do attitude that employers are looking for.