Business Intelligence Senior Specialist

Job Description

Business Intelligence Senior Specialist is responsible for gathering, cleaning, and interpreting datasets to solve business problems, transforming raw data into actionable insights through data visualizations and reports to support data-driven decision-making across the organization. This role primarily focuses on Power BI but requires the flexibility to work with other reporting platforms such as Metabase, Apache Superset, or similar tools.

Job Requirements

Competencies (Knowledge, Skills, and Abilities):

• Power BI and Looker and Cross-Platform Reporting Skills:
• Advanced skills in Power BI, including DAX and Power Query, with the flexibility to work across other reporting platforms (e.g., Metabase, Apache Superset) to create consistent, high-quality reports and dashboards.
• Design, develop, and optimize Looker dashboards, Looks, and Explores that deliver actionable insights to business stakeholders.
• Build and maintain semantic data models in LookML, ensuring accuracy, scalability, and performance.
• SQL Expertise:
• Expert-level SQL skills, with the ability to write, optimize, and troubleshoot complex queries to support data extraction, transformation, and reporting needs.
• Working with Semantic Layers:
• Experience in utilizing and integrating semantic layers (dbt, cube.dev, etc.) into reporting workflows to ensure standardized definitions, consistent data interpretation, and improved accessibility for end-users.
• Business Data Analysis:
• Strong analytical skills focused on interpreting business data, generating insights, and making actionable recommendations.
• Stakeholder Collaboration:
• Excellent communication skills to gather requirements, understand business needs, and convey insights to both technical and non-technical audiences.
• Documentation & Best Practices:
• Ability to document reporting processes, data sources, and key calculations, maintaining transparency and standards in reporting.
• Performance Monitoring & Optimization:
• Knowledge of techniques to monitor and optimize report performance, ensuring efficient data visualization and user experience.
• Training & Support:
• Experience in training and supporting end-users to improve data literacy and maximize the value of reporting tools.