- Excellent communication, collaboration, & interpersonal skills and should be able to handle stakeholders and drive the dashboarding initiative.
- Proven experience in technical leadership with good technical delivery skill
- Producing support documentation and keep existing documentation up to date.
- Proven experience in coordination with Business executives to identify requirements, KPIs and produce visualizations.
- Proven experience in planning, design, estimation, coordination with offshore, reviews, build and implementation of dashboard.
- Proven experience in working with data from any domain preferably with Annuities and Investment accounting data.
- Experience with other BI tools (Business Objects, or PowerBI is preferred).
- Solid RDMS experience and data modeling and advanced querying skills.
- Experience working with a data warehouse and/or analytics team.
- Awareness of agile/iterative approaches.
- Strong understanding of SDLC process is needed.
- Experience using JIRA / Confluence is needed
Roles & Responsibilities:
- Design and creation of Dashboards using Tableau.
- Creating visualizations for the data extracted with the help of Tableau.
- Identifying patterns and meaningful insights from data by analyzing it
- Extract data from databases and data warehouses for reporting and to facilitate sharing between multiple data systems.
- Using SQL for managing large volume of data
- Communicating with customers to analyze historical data and identify KPIs.
- Bring best practices for Tableau dashboard development.
- Work and partner with business & IT teams to develop reports or address data needs to provide reporting solutions.
- Synthesize and translate Business data needs into creative visualizations in Tableau.
- Develop, maintain, and manage advanced reporting, analytics, dashboards, and other BI solutions using Tableau.
- Manage the Tableau solution architecture, administration and actively manage the performance and usability.
- Align/standardize team members on best practices around Tableau driven implementations.
- Perform and document data analysis, data validation, data mapping/design, by accessing multiple sources, specifically data residing in data warehouses.
- Complete projects as assigned by manager or service management, and may assists with other functional areas as needed.