Business Intelligence Analyst

Business Intelligence Analyst

In All Media

Our Revenue Intelligence Engineering team is at the forefront of this mission, utilizing advanced analytics, data modeling, and automation to provide deep insights into revenue trends, enhance employer value, and optimize revenue opportunities. If you're passionate about leveraging data to make a real impact, join us and be part of a dynamic team driving innovation and growth.

Key Responsibilities:

• Design, develop, and maintain ETL/ELT pipelines to ingest, transform, and load data from various sources into our data lake.
• Utilize Python and its core data analysis libraries (Pandas, NumPy, SciPy, PyTorch) to perform advanced data analysis and modeling.
• Write complex, optimized SQL queries across large volumes of data to extract actionable insights.
• Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
• Develop and maintain data visualization dashboards using Tableau to present key findings and insights to stakeholders.
• Ensure data integrity, accuracy, and security by implementing best practices and data governance standards.
• Stay updated on emerging technologies and best practices in data engineering and analytics.

Requirements:

• Proven experience in data engineering or related roles, with expertise in Python and its core data analysis libraries.
• Strong proficiency in SQL for data analysis and manipulation.
• Familiarity with AWS data storage and data lake concepts.
• Experience with ETL/ELT pipelines and data integration processes.
• Proficiency in Tableau or similar data visualization tools.
• Ability to write complex, optimized queries across large volumes of data.
• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.