Senior Business Intelligence Analyst

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Design, develop, and sustain enterprise-level Power BI solutions, encompassing data models, semantic layers, and interactive dashboards.

• Enhance Power BI performance through techniques such as query folding, model size optimization, and DAX tuning.

• Implement components of Microsoft Fabric, including Direct Lake, Lakehouse, and semantic models.

• Employ Medallion architecture principles throughout analytics solutions.

• Collaborate with data engineering teams on ETL/ELT pipeline development.

• Ensure data integrity by validating it using SQL and applicable business rules.

• Merge financial, sales, and operational datasets into cohesive reporting environments.

• Create advanced DAX measures, KPIs, and business logic.

• Establish and uphold BI development standards, governance frameworks, version control, and documentation.

• Formulate standardized financial reporting frameworks for forecasting, budgeting, and performance management.

• Convert financial and operational data into insights and recommendations suitable for executive review.

• Spearhead FP&A modernization through automation, workflow enhancements, AI-assisted analytics, and Copilot functionalities.

• Create scalable reporting processes that boost accuracy, minimize cycle times, and improve analytical consistency.

• Collaborate with Finance and Operations leaders to gather requirements, define KPIs, and ensure analytical alignment.

• Oversee cross-functional analytics initiatives while managing scope, timelines, and deliverables.

• Facilitate training and knowledge-sharing sessions to enhance the organization's data literacy.

⛳️ Requirements

• A minimum of 5 years of experience in Business Intelligence, Data Analytics, FP&A analytics, or related domains.

• Advanced expertise in Power BI, including data modeling, DAX, semantic model design, and performance enhancement.

• Experience with Microsoft Fabric, Direct Lake, Lakehouse, or modern data architectures.

• Familiarity with Python for data transformation or automation tasks.

• Strong grasp of data modeling techniques, star schema design, and BI governance principles.

• Solid understanding of financial statements.

• Proven experience in analyzing revenue, margin, product/category performance, and operational KPIs.

• Ability to convert analytical outcomes into strategic business insights.

• Skill in clearly communicating complex results to non-technical stakeholders.

• Demonstrated leadership capabilities in managing cross-functional initiatives.

• Capacity to prioritize multiple concurrent projects effectively.

🏝️ Benefits

• Leading industry benefits, support, and services focused on holistic health and wellbeing.

• Flexible work arrangements tailored to your role and location.

• Support for maintaining life balance.

• Autonomy, freedom, and a sense of ownership in your role.

• A collaborative knowledge-sharing environment.

• Commitment to equal opportunity employment.

• Reasonable accommodations provided throughout the recruitment process.