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
Job Requirements
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.
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