Data & Business Intelligence Analyst

Role overview Turn business questions into clear, dependable reporting and analysis for teams working across sales, marketing, and operations. The analyst owns a portfolio of recurring reports and dashboards, works directly with stakeholders to define requirements, and learns the underlying data environment well enough to validate results and flag inconsistencies.

Responsibilities - Gather reporting needs from stakeholders and translate them into practical specifications. - Build and maintain Power BI dashboards, data models, DAX calculations, and row-level security where required. - Manage recurring reports, including updates, troubleshooting, and documentation as needs change. - Write and optimize SQL queries for reporting, ad hoc analysis, and data validation. - Investigate warehouse structures and relationships to identify data patterns and potential quality issues. - Work with data colleagues to confirm reporting inputs are complete and accurate. - Present business trends through effective data visualizations and respond to ad hoc requests promptly.

Requirements - Two to five years of experience in data analysis, business intelligence, or reporting. - Bachelor’s degree in a relevant discipline or equivalent professional experience. - Strong Power BI skills, including data modeling, DAX, and report or dashboard development. - Proficiency in SQL and relational databases, with experience querying and validating data. - Ability to learn an existing data environment, infer relationships, and spot inconsistencies. - Working understanding of data reporting pipelines and advanced analytics concepts, including when statistical or AI-based methods may apply. - Clear communication with nontechnical audiences, strong documentation and organizational habits, and the ability to prioritize multiple requests.

Nice to have - Experience building or maintaining ETL or ELT pipelines. - Exposure to advanced statistics, information science, or machine learning. - Familiarity with master data management, metadata practices, ERP processes, or project implementation.