SEO DATA ENGINEER

SEO Data Engineer

Job Description

Summary

The SEO Data Engineer is responsible for collecting, cleaning, and transforming data into insights that can be used to improve the SEO performance of a website. They work closely with SEO analysts and other stakeholders to identify and prioritize data needs, develop and implement data solutions, and measure the impact of their work.

Responsibilities

• Develop and maintain data pipelines to collect SEO data from various sources, including websites, search engines, and third-party tools.

• Clean and transform raw data into a format that can be analyzed by SEO analysts.

• Build and maintain data models to represent SEO data, such as keyword rankings, traffic data, and backlink data.

• Develop and execute data analysis scripts to uncover insights from SEO data.

• Communicate data insights to SEO analysts and other stakeholders in a clear and concise way.

• Stay up-to-date on the latest SEO data trends and technologies.

Day in a Life of an SEO Data Engineer

8:00 AM: Start the day by checking emails and Slack messages.

8:30 AM: Meet with the SEO team to discuss the priorities for the day.

9:00 AM: Work on developing a data pipeline to collect keyword ranking data from Google Search Console.

10:00 AM: Clean and transform keyword ranking data into a format that can be analyzed.

11:00 AM: Build a data model to represent keyword ranking data.

12:00 PM: Lunch break!

1:00 PM: Develop an analysis script to identify trends in keyword rankings.

2:00 PM: Execute the analysis script and review the results.

3:00 PM: Meet with the SEO team to discuss the results of the analysis.

4:00 PM: Document the data pipeline, data model, and analysis script.

5:00 PM: Wrap up for the day and check emails.

Skills

• Strong programming skills in Python or R.

• Experience with SQL and data modeling.

• Experience with cloud-based data platforms, such as AWS or Google Cloud Platform.

• Understanding of SEO principles and metrics.

• Excellent communication and collaboration skills.

• Ability to work independently and as part of a team.

Education

• Bachelor's degree in computer science, data science, or a related field.

• Master's degree in computer science, data science, or a related field (preferred).

Tools

• Python

• R

• SQL

• AWS or Google Cloud Platform

• SEO data analysis tools, such as Searchmetrics or BrightLocal

Benefits

• Competitive salary and benefits package.

• Opportunity to work with cutting-edge data technologies.

• Chance to make a real impact on the SEO performance of a website.

• Collaborative and supportive work environment.

Conclusion

SEO Data Engineers are in high demand as businesses increasingly rely on data to drive their SEO efforts. If you are a data-driven individual with a passion for SEO, this is an exciting and rewarding career opportunity.