Responsibilities
As a Tableau Analyst - Data Visualization/ Dashboarding, you will be responsible for the following:
Work closely with the analytics team to understand the data visualization requirements and business requirements.
Designing, Developing, testing, and maintaining dashboards according to the business requirements and manage the business enquires on the dashboard.
Building security metrics to the manage access requirements for various dashboards.
Analyzing the data with business analysts to identify the trends and share insights.
Producing development and support documentation and keep existing documentation up to date.
Conducting unit tests and developing database queries to analyze the effects and troubleshoot any issues.
Leverage on data analytics knowledge & experience to facilitate Business Users to uncover the business pattern.
Able to clearly articulate the business objective and the corresponding technical work to accomplish this.
Expect him/her to build up the required data visualization and reports in Tableau, deployment, and administration.
Documenting and communicating the results of your efforts.
Expect him/her to provide support on Tableau / UAT, as business is embarking on self-service journey for business intelligence platform.
Managing users requests and user roles.
Handling confidential data and information according to guidelines.
Developing dashboards (different chart types, maps, and calculations) for analysis using Tableau from multiple production systems.
Managing and designing the reporting environment, including data sources, security, and metadata.
Supporting initiatives for data integrity and normalization.
Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
Troubleshooting the reporting database environment and reports.
Evaluating changes and updates to source systems.
Training end users on new reports and dashboards.
Requirements
10+ years of hands-on experience working as an architect or a developer in BI visualization and analytics, preferably with experience in banking industry and/or data engineering space
Excellent communication and interpersonal skills
Ability to act in a consultative manner with both business and IT leaders to align strategy. Frequently requires the candidate to explain complex technical constructs to senior leaders
Strong problem-solving skills (not limited to gaps analysis, engineering, and architectural performance improvement) and ability to solve unstructured problem and challenge status quo
Design and architecture experience in building data ingestion, data analytics and data consumption (via dashboards, Data as a Service)
Strong hands-on experience on data modelling, Visualization tool ‘Tableau’ & SQL, rational databases, Modern databases.
Working knowledge in python, Spark is desirable
Working knowledge accessing Big data tech stack like Hive, Impala, Presto is desirable
Extensive experience in developing, maintaining, and managing Tableau driven dashboards & analytics and working knowledge of Tableau administration/architecture
Working knowledge with dashboard tools like Tableau is desirable
Capable to handle multiple concurrent initiatives
Experience in implementing, integration and/or maintaining suites of systems
A clear understanding of cloud service and deployment models -CI/CD experience (Jenkins, GitHub) is a must
Experience in release management or production operations, leading teams performing systems automation and integration (leveraging an agile methodology / lean techniques)
Primary Location: Singapore-DBS Asia Hub
Job: Analytics
Schedule: Regular
Employee Status:
Full-time
:
Job Posting: Jul 14, 2022, 3:25:47 AM
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