VARITE INC · 1 month ago
Data Analyst 5
VARITE INC is looking for a Senior Business Intelligence Engineer who is passionate about data and driving the direction of products that allow millions of people to bring their creativity to light. The role involves building a data architecture that supports decision making, developing scalable data pipelines, and creating self-service dashboards to highlight actionable insights.
Information Technology & Services
Responsibilities
Build and maintain dashboards to track product and user health
Proactively identify usage trends and communicate relevant insights to assist product decision-making
Partner closely with Product Management, Product Marketing, and Growth to drive actionable data requirements
Automate and optimize data pipelines using SQL and/or Python-based ETL Frameworks
Maintain technical standards and platform documentation (i.e., data dictionary, style guide, ERD)
Assist in growing the business' usage of Business Intelligence tools to drive efficiency in reporting
Diagnose platform performance gaps and provide recommendations to improve scale
Qualification
Required
Bachelor's degree or equivalent experience in Computer Science, Information Technology, or a related field
6-10 years of hands-on experience working with large scale data, developing innovative data solutions in a cloud environment
Demonstrated experience incepting and driving projects independently
Strong proficiency in Python and SQL
Extensive experience with BI platforms (i.e., Power BI, Tableau, Looker)
Experience with data warehousing, ETL/ELT processes, and data integration platforms (i.e., Airflow, MuleSoft, SnapLogic)
Ability to optimize and tune data pipelines for performance and scalability
Knowledge of data modeling concepts and database design methodologies
Excellent problem-solving skills and attention to detail
Strong communication and presentation skills
Experience with modern cloud platforms (i.e., Azure, AWS, GCP)
Preferred
Experience with Databricks (on Azure or AWS) is a plus
Experience with web analytics platforms (i.e., Adobe Analytics, Google Analytics) is a plus