FAQs
What qualifications are required for the Data Analyst position?
The position requires a background of 1-2 years in fields such as Computer Science, Data Science, Data Engineering, Information Science, Business Intelligence, or related quantitative fields.
What technical skills are necessary for this role?
Required skillsets include SQL, ETL, and experience with Cloud Compute/Storage (Azure or AWS). Nice to have skillsets include Snowflake, Python, and GIT.
Is experience in the advertising ecosystem important for this role?
Yes, experience with the advertising ecosystem, including ad trafficking, ad servers, DSPs, and understanding appropriate metrics and reporting, is beneficial.
What are the expectations for teamwork in this role?
The Data Analyst will work as part of a team to process and organize data, collaborate with the Data Manager, and engage with the wider data community within Gain Theory.
Is prior experience with DBT required?
No, experience with DBT is valuable but not required.
What personal attributes are important for applicants?
Applicants should be organized, detail-oriented, QA-focused, and possess excellent written, verbal, and presentation skills.
How does Gain Theory foster a diverse and inclusive workplace?
Gain Theory is committed to building a diverse, equitable, and inclusive workplace where everyone feels welcomed, valued, and heard, treating individuals with dignity and respect.
What does "Make it Better" mean at Gain Theory?
"Make it Better" emphasizes continuous improvement, stretching abilities, and being honest with oneself and others.
What kind of benefits does Gain Theory offer?
Gain Theory offers brilliant benefits, along with a culture that emphasizes growth, development, and meaningful work.
What is the main vision of Gain Theory?
The vision of Gain Theory is to accelerate growth for ambitious brands by giving clients the confidence to make better data-informed investment decisions.