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No of position :- ( 1 )
Post :- 4th Mar 2024
5+ years of Tableau development experience, including visualizations, parameters, and report optimization
Experience with quickly building data visualization worksheets and dashboards to analyze, view and interpret
data sets
Write efficient, reusable and scalable Python code adhering to coding standards and engineering best-
practices.
Solid knowledge of Fixed Income specifically Bonds (weights, par value, coupon, pricing, duration, yield, etc.)
Job Description:
Create compelling and dynamic BI visualizations that are intuitive and responsive for end-users
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
Recommend best practices from both a technical and process perspective as related to Tableau development
Groom large datasets for optimal performance and maintainability
Troubleshoot issues as they occur, identify criticality and impact, and provide appropriate workarounds
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 Tableau development
Requirements:
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.