Business Intelligence Developer
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Key skills for this role
Role Overview
Design, develop, and implement Business Intelligence solutions for executive decision-making, operational monitoring, performance management, and data-driven insights.
Translate business and reporting requirements into KPI frameworks, dashboards, reports, analytical models, and data visualization solutions.
Work with business stakeholders, Business Analysts, Data Engineers, Data Architects, and Data Governance teams.
Key Skills for This Role
Full Job Posting
Role Overview
Design, develop, and implement Business Intelligence solutions for executive decision-making, operational monitoring, performance management, and data-driven insights.
Translate business and reporting requirements into KPI frameworks, dashboards, reports, analytical models, and data visualization solutions.
Work with business stakeholders, Business Analysts, Data Engineers, Data Architects, and Data Governance teams.
Key Responsibilities
- Gather, analyze, and translate business and reporting requirements into effective BI solutions.
- Design executive dashboards, KPI scorecards, operational dashboards, and management reports.
- Define KPIs, measures, calculations, business rules, dimensions, and reporting logic.
- Develop interactive dashboards with filters, drill-downs, navigation, and analytical views.
- Analyze trends, patterns, anomalies, performance gaps, and business insights.
- Develop and maintain semantic, logical, and analytical data models.
- Work with data engineering teams to ensure data availability, quality, and suitability.
- Develop reports and dashboards using Power BI, Tableau, SAP BusinessObjects, or equivalent platforms.
- Write and optimize SQL queries for data extraction, transformation, validation, and analysis.
- Validate BI outputs against source data and approved business requirements.
- Perform data quality checks and optimize report performance, modelling, calculations, and refresh strategies.
- Support integrations, stakeholder reviews, UAT, deployment, documentation, governance, ad hoc analysis, and continuous improvement.
Required Skills and Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Business Analytics, Engineering, Business Administration, or a related field.
- 4–8 years of experience in Business Intelligence, BI Development, Data Analytics, Reporting, or a related role.
- Strong hands-on experience with Power BI, Tableau, SAP BusinessObjects, or equivalent BI platforms.
- 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 working with multiple data sources and integrating data for BI reporting.
- 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 modelling, and dashboard development, is preferred.
- Experience with Tableau, SAP BusinessObjects, SAP Analytics Cloud, QlikView, MicroStrategy, or similar 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 platforms is preferred.
- Knowledge of data governance, metadata management, data quality, and data management is preferred.
- Experience with executive scorecards, C-level reporting, advanced analytics, and forecasting is preferred.
- Experience with Agile or Scrum and tools such as Jira or Azure DevOps is preferred.
Key Deliverables
Executive KPI dashboards and KPI or data quality dashboards.
Operational and management reports, executive scorecards, and BI analytical solutions.
Interactive dashboards, visualizations, KPI definitions, and calculation logic.
Analytical and semantic data models, SQL queries, and data extraction solutions.
Data validation and reconciliation results, BI solution documentation, and UAT-ready or production-ready reports.
Ad hoc business analysis and reporting.
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