Senior Data Analyst

Job Purpose

We are currently seeking a Senior Data Analyst / Sr. Business Intelligence Analyst to support business decision‑making through data analysis, reporting, and business intelligence solutions.

The ideal candidate should have solid experience in Data Analytics, Business Intelligence, Data Visualization, and Reporting, with strong hands‑on expertise in Power BI, SQL, Data Modeling, and KPI analysis.

• Design, develop, and maintain interactive Power BI dashboards and reports across multiple business functions, including Finance, Procurement, Supply Chain, and Sales.
• Perform exploratory data analysis (EDA) to identify trends, patterns, anomalies, and business opportunities.
• Translate business requirements into analytical frameworks and actionable insights.
• Support data collection, preparation, validation, and quality assurance activities.
• Develop and maintain data models, measures, and calculations using DAX and Power Query (M).
• Collaborate with business stakeholders, IT teams, and BI teams to ensure data integrity, reporting accuracy, and alignment with business KPIs.
• Support Business Intelligence initiatives, reporting optimization, and self‑service BI adoption.
• Utilize AI‑enabled analytics capabilities within Microsoft Fabric and Power BI, including Copilot and Natural Language Query features, while validating analytical outputs for business relevance and accuracy.

• Bachelor’s degree in Computer Science, Information Technology, Data Science, Statistics, or a related field.
• 4–7 years of experience in Data Analysis, Business Intelligence, Reporting, or related IT functions.
• Advanced proficiency in Power BI, including dashboards, dataflows, datasets, DAX, Power Query, and report development.
• Strong experience in SQL querying, relational databases, and data warehouses.
• Experience in Data Modeling, ETL/Data Preparation, KPI Reporting, and Data Visualization.
• Familiarity with Microsoft Fabric (Lakehouse, One Lake, Data Pipelines, Data Warehouse) is preferred.
• Exposure to AI‑assisted analytics tools, reporting automation, and advanced analytics capabilities is an advantage.
• Certifications such as PL-300 (Microsoft Certified: Power BI Data Analyst Associate) are preferred; DP-600 (Microsoft Fabric Analytics Engineer Associate) is a plus.

Candidates with relevant experience in Power BI, SQL, Business Intelligence, Data Analytics, Data Visualization, Microsoft Fabric, DAX, Power Query, Data Modeling, and KPI Reporting are encouraged to apply.