The Analytics Enablement Team is looking for a dedicated Visualization Developer to build and maintain data visualizations that facilitate rapid analytics insights across the organization, ensuring the data visualization infrastructure is robust, scalable, and capable of supporting business needs.
Requirements
- Proficiency with creating data visualizations using platforms like Tableau, Looker, or similar tools.
- Proficiency in SQL for querying and handling complex datasets to drive complex visualizations.
- Experience with Python for Airflow or other workflow management platforms is a plus.
- At least 2-3 years of relevant professional experience in data visualization, data modeling, warehousing, and ETL pipeline development.
Responsibilities
- Collaborate with analysts, data scientists, and cross-functional partners to implement analytics visualizations solutions that support the goals of game designers, analysts, and the overall goals of the business
- Assist in developing and maintaining a centralized and organized data visualization suite for our end users.
- Work with data engineering and data analytics teams to build and execute project plans, enhancing our reporting capabilities.
- Support the design and development of data solutions that ensure data integrity throughout our pipelines.
- Assist in building, maintaining, and optimizing data visualization workflows for performance, scalability, and reliability.
- Contribute to establishing and enforcing data quality standards to ensure the accuracy and reliability of analytics outputs.
- Communicate technical findings and insights to non-technical stakeholders in a clear and understandable manner.
Other
- The ideal candidate is a motivated data enthusiast eager to expand their analytics visualization and engineering skillset in a dynamic environment.
- You should be focused on delivering value to stakeholders and have a passion for video games.
- Building strong relationships within the Global Analytics team, with studio partners, and other cross-functional partners to drive the team’s success.
- Supporting clear and effective communication efforts within analytics engineering projects.
- Assisting in the creation of comprehensive and understandable documentation for data visualizations, related ETL processes, and other technical aspects.
