We are seeking a highly skilled and experienced Senior Power BI Developer with deep expertise in GeoLocation data analysis. In this pivotal role, you will design, develop, and optimize interactive dashboards and impactful reports. The ideal candidate will have a strong track record in spatial data visualization, sophisticated mapping techniques, and geographic data modeling to help drive critical data-driven decision-making across the organization. You will be instrumental in transforming raw location data into actionable insights.

Key Responsibilities

Dashboard & Report Development

• Design, develop, and deploy advanced Power BI dashboards, paginated reports, and compelling data visualizations, with a core focus on GeoLocation analytics (e.g., heatmaps, proximity analysis, region-based trends, route optimization solutions).
• Collaborate closely with stakeholders to gather and translate complex business requirements into effective wireframes, mockups, and ultimately, intuitive data visualizations.
• Champion best practices in report design and user experience.

Data Modeling & Transformation

• Create, maintain, and optimize robust semantic models (datasets) in Power BI.
• Develop complex and efficient calculations and measures using Data Analysis Expressions (DAX).
• Build and manage robust data transformation pipelines using Power Query (M) to clean, reshape, and prepare data for analysis.
• Ensure optimized data structures to minimize report refresh times and enhance query performance.
• Expertly structure event logs, location records, and associated metadata into usable, scalable schemas.
• Apply sophisticated transformation logic to standardize, normalize, and enrich diverse datasets.

Data Governance & Quality Assurance

• Establish and implement comprehensive data validation rules and processes (e.g., null checks, anomaly detection, timestamp gap analysis).
• Ensure the accuracy, consistency, and reliability of reported data through rigorous testing, validation, and reconciliation procedures.
• Implement and manage row-level security (RLS) and other data governance practices within the Power BI environment.

Integration & Collaboration

• Connect Power BI to a wide variety of data sources, including SQL databases (on-premises and cloud-based like Azure SQL), data warehouses (e.g., Azure Synapse, Snowflake), APIs, cloud services (e.g., SharePoint Online), Excel, CSV files, and other enterprise systems.
• Collaborate effectively with product managers, data engineers, software developers, and business stakeholders to enhance data accessibility, analytical capabilities, and decision-making processes.
• Potentially mentor junior developers or share expertise within the team.