You love gathering data accurately and efficiently. SQL code, integration tools, and cloud warehouses are implemented correctly and optimized for success with you working on those processes.
Is your resume helping you showcase these skills to potential employers?
We have you covered. Our resume examples have helped plenty of analytics engineers land jobs in this competitive industry, so they’ll be a great starting point to launch your dream career.
What Matters Most: Your Data Analytics Engineer Skills & Experience
You’re used to streamlining data processes for success. That skillset will help immensely in designing a personal resume, where you’ll want to organize how you display your top skills in data analytics.
The goal is to show potential employers you have the technical skills necessary to perform this job. The types of data collection and methods used can vary by company, so a best practice is to include your top 6 to 10 skills and mix in a few that are company-specific to help your analytics engineer resume stand out.
Here are some of the top skills recruiters seek in data analytics engineers.
9 top data analytics engineer skills
- SQL
- Python
- TensorFlow
- MS Excel
- Snowflake
- Numpy
- AWS
- Data Modeling
- Data Automation
Sample data analytics engineer work experience bullet points
In the analytics profession, you often work behind the scenes. Companies will want to see specific impacts you have made in past positions to help determine if you’re the right fit.
Thankfully, you have numbers on your side, and you’re a master at showcasing the impact they can have. Use that skillset here to help show how your efforts have helped drive business operations forward from the inside out.
The best way to do that is by showcasing technical aspects of data collection and how the work you did benefited the overall success of a company.
Here are a few samples:
- Designed and implemented a TensorFlow automation system that defined and improved data standards and led to 70% more efficient and effective decision-making.
- Built 3 data models using SQL to forecast e-commerce sales, analyze trends, and locate competitive vulnerabilities that facilitated the creation of 2 new products in untapped niches and a 23% increase in sales.
- Contributed to a 17% increase in loan applications by optimizing SQL frameworks and conducting exploratory data analysis.
- Collaborated with 3 product teams to create premier member experiences using AWS, which led to an 18% increase in customer retention and a 36% increase in customer satisfaction scores.
- Improved the efficiency of weekly reporting by 20% by implementing SQL database automation to process insurance claims.
Top 5 Tips for Your Data Analytics Engineer Resume
- Focus on technical data analytics skills
- Employers will look for key hard skills on your resume, like coding languages and databases you’re proficient in. Rather than saying you’re “organized,” focus on technical skills, such as data modeling and creating detailed Excel spreadsheets that require organized processes.
- Keep descriptions brief
- Help job recruiters see the main points that make you stand out with brief and relevant descriptions of your achievements. For instance, you can probably quantify how your data modeling system with Python helped make operations 24 percent more efficient in one sentence.
- Show the company-wide impact of achievements
- Emphasize how your achievements have had a measurable impact on a company. For example, if you came up with an innovative data-scraping method, emphasize how it helped a business generate 30 percent more leads and 15 percent more sales.
- Limit your resume to one page
- Cut out the fluff to limit your data analytics resume to one page. You can do this by avoiding irrelevant experiences. For example, the ice cream shop job you held in high school is irrelevant to your ability to program in Python, especially if you’ve held three analytics engineer positions since then.
- Your cover letter and resume work together
- Your resume should focus on technical skills like designing data modeling systems. However, your AI cover letter can explain why you’re passionate about data analytics and what got you to this point in your career. Both work together to help you stand out.
If you don’t have much experience, you can reference what you achieved in school. For instance, you can reference a class project where you used Python to program a complex data visualization system.
You should emphasize key points from the data engineer job description in your resume. For example, if they say they’re looking for someone with experience using Snowflake, highlight any experiences or skills you have with Snowflake that make your qualifications stand out.
Certifications and education, like a degree in computer science, will help your data analytics engineer resume stand out. You should include that in your resume to showcase your technical skills.
