Data & Business Intelligence Analyst

Benchmark Education Company LLC is hiring a Data and Business Intelligence Analyst to deliver reporting and data analysis that support day-to-day decisions across sales, marketing, and operations. The role develops and maintains Power BI reports and dashboards, works with stakeholders to define reporting needs, and ensures reporting data is accurate and useful.

Responsibilities:

• Work directly with stakeholders to understand their needs and translate them into clear reporting and analysis requirements
• Design, build, and maintain Power BI reports and dashboards, including data models, DAX calculations, and row-level security where needed
• Own a portfolio of recurring reports including development, maintenance, troubleshooting, and updates as business needs change
• Write and optimize SQL queries against the data warehouse to support reporting, ad hoc analysis, and data validation
• Develop a working understanding of the structure and relationships within the data warehouse to navigate it independently and flag inconsistencies
• Partner with the data team members to communicate reporting requirements and validate that data feeding into reports and dashboards is accurate and complete
• Tell effective stories about business performance and trends through data visualization
• Respond to ad hoc reporting requests with accurate, timely turnaround
• Support stakeholders and other data/report consumers across the business

Requirements:

• 2–5 years of professional experience in data analysis, reporting, or business intelligence
• Bachelor's degree in a relevant discipline, or equivalent professional experience
• Demonstrated expertise in Power BI, including data modeling, DAX, and report/dashboard development
• Strong proficiency in SQL with relational databases (SQL Server, MySQL, Oracle, Postgres), including writing queries to analyze and validate data
• Proven ability to learn and navigate an existing data environment: reverse engineering data patterns and structures to infer relationships and spot inconsistencies
• Working knowledge of how data moves through a reporting pipeline, enough to collaborate effectively with data team
• Functional understanding of advanced analytics concepts (statistical or AI-based techniques) and when to apply them
• Effective written and verbal communication skills, especially explaining data and reporting to non-technical stakeholders
• Excellent organization and documentation skills, with strong attention to detail
• Comfortable owning multiple reports/dashboards independently and prioritizing competing requests
• Hands-on experience building or maintaining ETL/ELT pipelines
• Experience with advanced statistics, information science, or machine learning
• Working understanding of Master Data Management techniques and tools
• Experience with metadata standards and procedures in the publishing industry
• Experience with ERP tools and processes
• Experience with project management and implementation of best practices