5 years of Tableau application development, including visualizations, parameters, and report optimization
Expertise across multiple BI platforms and data visualization tools include Tableau and Power BI
Solid exposure to ETL toolsets used to extract data into queryable format ready to analyze such as Alteryx
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 Amazon Redshift and Snowflake
Solid hands-on experience on Python and other scripting languages with a strong portfolio of successful projects.
Working experience on developing, testing and deploying high-quality solutions
Write efficient, reusable and scalable Python code while adhering to coding standards and engineering best-practices.
Familiar with front-end technologies (such as JavaScript, HTML and CSS)
Experience with both server and desktop-based data visualization tools
Expertise with managing and mining very large internal and external data sets
Good 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
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.