Business Intelligence Engineer
1 month ago
Business Intelligence Engineer
Newark, NJ
Hybrid
Job Description :
What You Will Do:
- Create Power BI and Tableau Dashboards to meet complex user requirements and demand.
- Performance tuning and aesthetics customization to meet user expectations.
- Develop and implement design best practices to ensure a seamless user-experience for business stakeholders.
- Transform complex reporting needs into technical specifications, including calculations, custom groups, parameters, filtering criteria, aggregations etc. Breakdown complex requirements into user stories, and drive delivery with the product team
- Work with the business on managing Power BI & Tableau user permissions, performance troubleshooting, and managing general help inquiries.
- Develop and Test Python and Custom API-related Workflows to build on the capabilities of the Power BI and Tableau Platform.
- Work with Tableau for support, ticket resolution, feature requests and defect tracking.
- Demonstrate strong backend platform expertise and front-end consultancy capability
- Recommend best practices from both a technical and process perspective as related to Power BI and Tableau development.
- Groom large datasets for optimal performance and maintainability
- Troubleshoot issues as they occur, identify criticality and impact, and provide appropriate workarounds
What You Will Need:
- 5+ years of Power BI application development experience including visualizations, parameters, and report optimization
- 3+ years of Tableau application development experience, including visualizations, parameters, and report optimization
- 5+ years of hands-on SQL Experience
- 3+ years of working on Power BI or Tableau Administration Responsibilities (Permissions, Server Maintenance and upgrades, Monitoring)
- 3+ years working in Python, Pandas Data Frames, API-driven workflows.
- Expertise across multiple BI platforms and data visualization tools include Tableau and Power BI
- Strong experience with performance tuning business intelligence and database platforms for maximum performance in each technical configuration
- Expertise with multiple database platforms including relational databases (ie. SQL Server and Oracle) as well as cloud-based data warehouses such as Microsoft Fabric and Snowflake
- Experience with both server and desktop-based data visualization tools
- Expertise with managing and mining very large internal and external data sets
- Experience with sourcing external data sets to meet business needs
- Demonstrated experience with testing business hypotheses, asking the right questions to provoke thoughts from business users and ultimately using data to test and validate hypothesis
- Very strong experience with quickly building data visualization worksheets and dashboards to analyze, view and interpret data sets
- Hands-on experience with Python for building automations for business processes
- Demonstrated experience with using predictive, prescriptive and descriptive data analytics to test, question and solve business problems
- Have a consulting mindset when working with internal clients across multiple departments of the organization
- Ideally familiar with financial services datasets across investment, product and distribution functions - not essential but highly desirable
- Bachelor’s degree in Computer Science or equivalent, with a strong preference in a Data-centric major.
Thanks & Regards
Sai Kiran
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