What are the responsibilities and job description for the Analytics Engineer position at TwoCircles Inc?
We are Two Circles. We grow audiences and revenues. We do that by knowing fans best. We work with clients to help them understand & influence what their fans are doing – the way fans spend their money, the events that fans attend, the channels fans respond to, the content fans watch and more. And we use the understanding this gives us to help our clients grow. Grow their audiences and grow their revenues - both direct to consumer and business to business revenues. Our platforms and services are trusted by over 900 clients globally, including the English Premier League, Red Bull, UEFA, VISA, the NFL, Nike and Amazon. We are almost 1000 people, based out of 14 offices, and we deliver work for sports and entertainment businesses of all shapes and sizes all over the world
Kore is a fan, partnership and revenue intelligence platform for the sports & entertainment business.
This role will mainly assist in SQL script writing, creating and monitoring automated processes, optimizing databases, and ETL processing.
The ideal candidate for this position will be self-motivated, a solutions-provider, detail-oriented, data-focused, and have a strong ability to work well in a team-based setting. This role will also ask the candidate to collaborate both with internal and external teams.
Duties and Responsibilities
This position will devote their time writing custom scripts to power standardized views, automations, and data warehousing. Although we expect this role to expand as skills and experience grow, the following is an estimated breakdown of where we expect this individual’s time to be allocated in main categories of tasks :
ETL Processing
- Assist in development and optimization of ETL / ELT pipelines from various data sources using AWS and SQL technologies
- Design, development, and modify relational database structures, relationship, and data flows within the data warehouse
- Understand and maintain DAGs to manage workflows
- Working with stakeholders to support their data infrastructure
- Integration data from different sources to create a unified view of the data
- Implement data quality checks and validation routines to ensure accuracy, consistency, and completeness of data
- Support in the development of machine learning models by combining data from multiple data sources
SQL Script Writing
Communication & Consultation
Requirements
Skill Requirements