Business Intelligence Developer
4 weeks ago
Mondo is seeking a highly skilled Business Intelligence Developer to join our team. As a key member of our data analytics team, you will be responsible for managing SQL databases, developing ETL processes, and building robust BI solutions to support business data analysis.
Key Responsibilities- Database Management: Ensure optimal performance and data integrity of SQL databases.
- Performance Monitoring: Monitor database performance and implement quality control plans to improve data analytics processes.
- ETL Process Development: Develop ETL processes to acquire, transform, and load data from various sources for analysis.
- BI Solution Development: Design, develop, and deploy BI solutions, including reports and dashboards, to support business needs.
- Data Modeling: Create and optimize data models (e.g., star schema, snowflake schema) to enable efficient reporting and analysis.
- Data Warehousing: Build and maintain data warehouses to store large datasets for business analytics.
- Workflow Automation: Automate workflows to streamline manual data integration processes.
- Experience: 4+ years of experience in database development, analytics, or business intelligence.
- SQL Expertise: Proven experience managing SQL databases with hands-on expertise in programming and writing complex queries.
- ETL Tools: Experience with ETL tools like Microsoft SSIS and Alteryx.
- Microsoft Power Platform: Proficiency in the Microsoft Power Platform, including Power Automate and Power Apps.
- Data Warehousing: Strong experience in data warehousing, data analytics, and creating effective data models.
- Soft Skills: Highly analytical, detail-oriented, energetic, and able to write and present findings clearly.
- Visual Studio: Experience with Visual Studio, XML, Apex, and JavaScript.
- Additional Tools: Familiarity with Salesforce, Tableau, and SharePoint.
- Regulated Industry: Experience in a highly regulated industry is a plus.
- Certifications: Relevant certifications or a degree in Computer Science, Data Analytics, or a related field.
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