We are looking for a data analyst/engineer with a focus on web analytics who knows a bit about the implementation of data management technology. It is a generic role, where you will be leading the implementation of CDP for the clients, but also helping with the business cases scenarios.

Job Scope:

• You will be part of the clients' projects
• Implementing web analytics and controlling the data collection
• Working on the execution of the business scenarios, marketing automation, creating target audiences, or helping with marketing campaigns
• You will closely work with the senior project manager, sales team, and developers while working on implementation, so you all can deliver a good service to the clients
• You will be exposed to the business and should know what CRM is and some awareness of what digital marketing is about, how customer segmentation is done. Business experience is key.

On a day-to-day basis:

• After answering Slack messages, you will have a quick sync with the team to define priorities, what is urgent and where do you need help
• Works face to face with clients and solves real-world business problems. That's why you'll also be a part of meetings with clients, helping them to shape the project
• You will be working on the transformation and cleaning data and finding faster or more efficient ways
• You might be asked to write up technical documentation about the implementation you did for internal purposes
• From time to time, you might contribute to the internal learning session or training for the client

Job Qualifications:

• Degree in Business Analytics / Technology / Marketing or equivalent
• At least 2-3 years of experience working on large set of data engineering and/or analysis
• Critical thinking and a growth mindset. Experience from a digital agency is a big plus
• Medium proficiency in Python which you will need for data transformation that SQL is not able to handle or is too slow
• Familiarity with all common types of commercially used databases, but most importantly PostgreSQL
• Familiarity with consuming REST APIs
• Have some experience with building ETL pipeline either, the custom script built or designed in enterprise products
• Familiarity with basic data structures (data types i.e.integers, strings) and data modeling and data schema
• Know essential data transfer formats (CSV, JSON) and be familiar with finding exact information inside API documentation
• Visualization tools like PowerBI, Tableau, Metabase, or Data Studio is really important as well as an understanding of the martech and adtech ecosystem and the digital tracking play around the web and mobile apps

Bernice Mae Nocum Rallonza EA License No.: 02C3423 Personnel Registration No.: R1442141

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