Business Intelligence Analyst

Job Title: Data & Business Intelligence Analyst

Pay Range: $47.60 - $58.05 Hourly

Primary Responsibilities:

• Tool and Dashboard Development: Design, develop, and maintain data tools and analytics dashboards to automate processes and provide real-time insights into customer metrics and product usage.
• Foundations and Pipeline Development: Write scalable and efficient SQL to encode business logic, and develop robust pipelines on the LinkedIn data stack.
• Data Management: Establish robust data collection, storage, and quality assurance processes to ensure the reliability and accuracy of analyses.
• Project Management: Lead data projects from inception to completion, aligning with strategic goals and ensuring delivery of measurable value to the organization.
• Cross-Functional Collaboration: Work closely with cross functional partners in customer success and adjacent teams to integrate data-driven insights into strategies and initiatives.
• Continuous Learning and Innovation: Keep up with industry trends in data science and analytics to drive innovation and improve customer success outcomes.

Basic Qualifications:

• Bachelor's Degree in a quantitative discipline
• 2+ years of experience with SQL/relational databases
• Certification in Power BI is highly preferred.
• 2+ years of business analytics experience in a medium-to-large company with demonstrated ability to navigate complex data environments and provide guidance to business leaders
• 2+ years of relevant industry or relevant academia experience working with large amounts of data
• 2+ years experience in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript)
• 2+ years of experience in data visualization and dashboard design

Preferred Qualifications:

• MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering,
• Statistical modeling project experience with regression models, tree models
• Data pipeline development experience
• Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance.
• Experience on a / adjacent to a Business Intelligence team
• Self-starter, able to work independently but ask for guidance when needed
• Ability to speak comfortably in a variety of settings including one-on-one and in front of large groups and adapt communication style for different audiences.