Business Intelligence (BI) Analyst

Department: IT Reporting to: Head of Digital Transformation & IT About the Role The Business Intelligence Analyst is responsible for designing, developing, and maintaining BI solutions that transform data into actionable insights for decision-makers across Omorfia Group. The ideal candidate will have a strong foundation in data analysis, dashboard design, and reporting with the ability to connect and integrate with various business systems such as POS platforms and HRMS. A solid programming background and familiarity with SAP database schema are strong assets. Responsibilities BI & Reporting Development: • Design and deploy dynamic dashboards using Power BI for Supply Chain, Finance, HR, Marketing, and Operations. • Translate stakeholder reporting needs into structured visualizations that drive strategic decisions. • Create and manage data models, DAX formulas, and report-level security (RLS). Data Integration & Warehousing: • Work with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Azure SQL to ingest and transform data from multiple sources including SAP B1, Zenoti, and Adrenalin. • Collaborate with the IT team to standardize data definitions and pipelines for accurate reporting. Programming & Automation: • Use Python for scripting, data cleansing, and automation tasks. • Develop lightweight tools or integration components using C# where needed to support data flow or custom business use cases. Analysis & Insights: • Perform advanced data analysis to identify patterns, trends, and anomalies across key business metrics. • Support cross-functional teams in interpreting data and optimizing performance KPIs. Quality Assurance & Governance: • Ensure data integrity, accuracy, and consistency across dashboards and source systems. • Support implementation of best practices in BI governance and self-service analytics enablement. Qualifications • Bachelor’s degree in Computer Science, Data Science, or a related field. • 5+ years of experience in business intelligence, analytics, or data engineering roles. • Strong proficiency in Power BI, including DAX, data modeling, and visual storytelling. • Solid experience working with SQL databases and data warehouse concepts. • Experience working in cloud-based BI environments (preferably Azure). • Programming experience in Python is required. • Knowledge of SAP schema and POS system structures (Zenoti) is a strong plus. • Excellent analytical, communication, and problem-solving skills. Required Skills • Strong proficiency in Power BI, including DAX, data modeling, and visual storytelling. • Solid experience working with SQL databases and data warehouse concepts. • Experience working in cloud-based BI environments (preferably Azure). • Programming experience in Python. • Knowledge of SAP schema. • Knowledge of POS system structures (Zenoti). Show more Show less

Bachelor’s degree in Computer Science, Data Science, or a related field. 5+ years of experience in business intelligence, analytics, or data engineering roles. Strong proficiency in Power BI, including DAX, data modeling, and visual storytelling. Solid experience working with SQL databases and data warehouse concepts. Experience working in cloud-based BI environments (preferably Azure). Programming experience in Python is required. Knowledge of SAP schema and POS system structures (Zenoti) is a strong plus.

BI & Reporting Development: Design and deploy dynamic dashboards using Power BI for Supply Chain, Finance, HR, Marketing, and Operations. Translate stakeholder reporting needs into structured visualizations that drive strategic decisions. Create and manage data models, DAX formulas, and report-level security (RLS). Data Integration & Warehousing: Work with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Azure SQL to ingest and transform data from multiple sources including SAP B1, Zenoti, and Adrenalin. Collaborate with the IT team to standardize data definitions and pipelines for accurate reporting. Programming & Automation: Use Python for scripting, data cleansing, and automation tasks. Develop lightweight tools or integration components using C# where needed to support data flow or custom business use cases. Analysis & Insights: Perform advanced data analysis to identify patterns, trends, and anomalies across key business metrics. Support cross-functional teams in interpreting data and optimizing performance KPIs. Quality Assurance & Governance: Ensure data integrity, accuracy, and consistency across dashboards and source systems. Support implementation of best practices in BI governance and self-service analytics enablement.