Business Intelligence Developer
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Key skills for this role
Role Overview
The Business Intelligence Developer will design, develop, and implement BI solutions for executive decision-making, operational monitoring, performance management, and data-driven insights.
The role works with business stakeholders, Business Analysts, Data Engineers, Data Architects, and Data Governance teams.
Key Skills for This Role
Full Job Posting
Role overview
The Business Intelligence Developer will design, develop, and implement BI solutions for executive decision-making, operational monitoring, performance management, and data-driven insights.
The role works with business stakeholders, Business Analysts, Data Engineers, Data Architects, and Data Governance teams.
Core responsibilities
- Translate business and reporting requirements into BI solutions, KPI frameworks, dashboards, reports, analytical models, and visualizations.
- Develop executive dashboards, KPI scorecards, operational dashboards, management reports, and interactive analytical views.
- Define KPIs, measures, calculations, business rules, dimensions, and reporting logic.
- Analyze data for trends, patterns, anomalies, performance gaps, and business insights.
- Develop semantic, logical, and analytical data models for BI reporting.
- Use BI and visualization platforms such as Power BI, Tableau, SAP BusinessObjects, or equivalent tools.
- Write and optimize SQL queries for data extraction, transformation, validation, and analysis.
- Validate outputs, perform data profiling and quality checks, and reconcile results with source data.
- Optimize dashboard and report performance through modeling, query optimization, calculations, and refresh strategies.
- Support integration with data warehouses, databases, cloud platforms, and other data sources.
- Review outputs with stakeholders, conduct testing and UAT, and publish reports to appropriate environments.
- Maintain documentation and support governance through access controls, security, metadata, standards, ad-hoc analysis, and continuous improvement.
Required qualifications
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, Engineering, Business Administration, or a related field.
- Four to eight years of experience in Business Intelligence, BI Development, Data Analytics, Reporting, or a related role.
- Hands-on experience with Power BI, Tableau, SAP BusinessObjects, or an equivalent BI platform.
- Strong understanding of KPI development, dashboard design, reporting, data analysis, and BI concepts.
- Strong SQL skills and experience with relational databases.
- Experience with logical, physical, dimensional, or semantic data models.
- Experience translating business requirements into reports, dashboards, KPIs, and analytical solutions.
- Experience with multiple data sources and BI data integration.
- Strong understanding of data quality, validation, and reconciliation.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
Preferred skills
- Advanced Power BI experience, including DAX, Power Query, data modeling, and dashboard development, is preferred.
- Experience with Tableau, SAP BusinessObjects, SAP Analytics Cloud, QlikView, MicroStrategy, or similar BI platforms is preferred.
- Experience with SQL Server, Oracle, MySQL, SAP HANA, or similar databases is preferred.
- Experience with SSIS, Informatica, Talend, Azure Data Factory, or equivalent ETL technologies is preferred.
- Knowledge of Microsoft Fabric, Azure Synapse, Databricks, Snowflake, or equivalent modern data platforms is preferred.
- Knowledge of data governance, metadata management, data quality, and data management is preferred.
- Experience with executive scorecards, advanced analytics, forecasting, and Agile or Scrum tools is preferred.
Expected deliverables
Executive KPI dashboards, KPI and data quality dashboards, operational reports, management reports, and executive scorecards.
BI analytical solutions, interactive visualizations, KPI definitions, calculation logic, and analytical or semantic data models.
SQL extraction solutions, validation and reconciliation results, BI documentation, UAT-ready reports, production-ready dashboards, and ad-hoc analysis.
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