Responsibilities: Must have strong skills and knowledge with the selection of appropriate data visualizations strategies (e.g. chart types) for specific use cases.
Ability to showcase complete implementation that demonstrates visual best-practices (e.g. color themes, visualization layout, interactivity, drill-down capabilities, filtering etc.)
Experience with the preparation of data for visualizations (e.g. data profiling, data cleansing, volume assessment, partitioning, modeling data etc.)
Experience in working in a fast-paced, dynamic and agile development lifecycle
Experience creating joins, custom SQL & blending data from different data sources using Tableau Desktop and Tweaking SQL Queries for best performance.
Proven knowledge of working with various Tableau Desktop functionalities & capabilities (Filters, Hierarchies, Sorting, Sets, Parameters, Custom Groups, Creating Story, Mapping, Custom Geocoding etc.)
Experience using advanced calculations using Tableau Desktop (Aggregate, Date, Logical, String, Table, LOD Expressions)
Experience creating different visualizations using Lines, Pies, Pareto, Histograms, Box Plots, Maps, Scatter, Gantts, Bubbles, Bullets, Heat Maps, Waterfall, Treemaps etc.
Experience working with Relational (e.g. Oracle)
Required Skills: Must have at least 5+ years of experience in information technology and at least 4+ years in business intelligence with strong focus on data visualization
Must have extensive experience with business requirement analysis, functional specification and system implementations
Good to have any Tableau Certification. Not mandatory requirement.
Proven experience mentoring and training resources
Demonstrable experience learning new technologies
Excellent verbal and written communication skills
Proven experience working directly with client management across time zones
Showcase a process-oriented approach to streamline delivery
Nice to Have Skills Knowledge on BigData(Hadoop, HIVE & Spark)
Domain knowledge in Finance / Liquidity reporting is an added advantage
Good to have experience in unstructured data sources like Hadoop and cloud based data sources like Azure. Not mandatory requirement.
We only accept the following file extensions: .pdf, .docx or .doc
Maximum file size: 1 MB
File name must not include special characters or spaces (e.g. “name_resume.pdf”)
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