
Power Bi Data Scientist
4 days ago
Data Integration Expert
">We are seeking a highly skilled data integration expert to join our team. The ideal candidate will have strong expertise in data integration using SnapLogic and a proven track record of building impactful business intelligence solutions with Power BI.
">This role is crucial for our data pipeline and analytics strategy, involving the design, development, and maintenance of data flows from various sources to a reporting-ready state. You will be responsible for ensuring data quality and delivering actionable insights through compelling visualizations.
">Key Responsibilities :
- Data Integration : Design, develop, and maintain efficient and scalable data pipelines using SnapLogic to ingest, transform, and load data from diverse sources.
- Business Intelligence Reporting : Create and optimize interactive dashboards and reports in Power BI to meet business and analytical requirements.
- Data Modeling & Transformation : Model data for optimal performance in Power BI and implement complex transformations within SnapLogic.
- Stakeholder Collaboration : Work closely with business users and data analysts to gather requirements and deliver data solutions that support strategic decisions.
- System Enhancement : Identify opportunities to improve existing data pipelines and reporting processes, including leveraging Power Automate and Power Apps for broader automation where applicable.
- Monitoring & Support : Monitor data pipeline health, troubleshoot issues, and ensure the integrity and accuracy of data delivered to end-users.
Technical Skills :
- Data Integration : Primary expertise in SnapLogic with at least 4 years of hands-on experience.
- Business Intelligence : Mandatory expertise in Power BI with at least 4 years of experience.
- Databases & SQL : Proficiency in SQL and experience with various database technologies.
- Automation : Experience with Power Automate and Power Apps is a strong plus.
- Data Warehousing : Understanding of data warehousing concepts and data modeling techniques.
Qualifications :
- A Bachelor's degree in Computer Science, Information Technology, or a related field.
- 4 - 6 years of overall experience in a relevant role.
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