✨ About The Role
- The Data Engineer will be responsible for automating manual processes using SQL, Python, and other tools.
- The role involves defining solutions for data extraction and manipulation based on business needs.
- Candidates will analyze documentation and propose effective data extraction solutions.
- Writing code to interact with APIs for data download and upload is a key responsibility.
- The position requires staying updated on industry news and analysis techniques to enhance data handling.
- The Data Engineer will lead the analysis of digital data using Google Analytics to track performance metrics.
- Creating engaging data visualizations and interactive dashboards for clients will be a significant part of the job.
- Conducting journey analysis to map customer experiences and identify improvement opportunities is expected.
- Implementing and managing tags using platforms like GTM and conducting A/B tests will also be part of the role.
⚡ Requirements
- The ideal candidate will have 2-4 years of experience in digital marketing analytics, demonstrating a solid understanding of the field.
- Proficiency in SQL and Python is essential, along with experience working with APIs to manipulate and extract data.
- A strong background in designing ETL solutions will be crucial for success in this role.
- Candidates should possess a Bachelor’s or Master’s degree in a relevant field such as Statistics, Mathematics, Computer Science, or Business.
- Experience with data visualization tools like Tableau is important, as the role requires turning complex data into meaningful visual representations.
- Familiarity with Google Analytics and tag management platforms like GTM is necessary for tracking and analyzing digital data.
- The successful candidate will be data-savvy, with a good understanding of database components and SQL queries.
- Strong English proficiency is required for effective communication in a remote team environment.