The Role
Develop Tableau dashboards, BI reports, and data visualizations for banking, financial services, and insurance systems. Gather requirements, analyze data lineage, support big data modeling, integrate BI solutions, document data structures, and identify process improvements through data-driven insights. Collaborate with business and IT teams to communicate findings and deliver actionable solutions.
Summary Generated by Built In
Job Title: Tableau Developer
Experience Level: 5 - 07 years
Location: Hyderabad / Pune
Experience Level: 5 - 07 years
Location: Hyderabad / Pune
Qualification: BTech/MTech/MCA
Mode of Work: Hybrid
We are seeking an experienced Tableau Developer with deep expertise in Banking, Financial Services, and Insurance systems. The candidate will be responsible for creating computer systems and data visualization solutions to improve business processes. This role will include tasks such as generating Tableau dashboard reports, creating business intelligence reports and visualizations, and work with developers.
Key Responsibilities:
- Collaborate with Business and IT personnel to gather business requirements, perform data analysis to understand to the current data setup and lineage, and recommend the best Tableau BI solutions for the projects.
- Help generate insights for designing and developing big data models and solutions to improve data processing efficiency and accuracy.
- Help design and develop dashboards, reports, and visualizations using BI tools such as Tableau, Power BI, AbInitio or QlikView, to provide insights on various business performance metrics.
- Analyze data to identify new business opportunities and recommend solutions to improve business processes.
- Work with other teams to integrate BI solutions into existing systems to improve data accessibility and data-driven insights.
- Provide data lineage, copybook layouts, and data documentation across all applications.
- Drive process improvements using data-driven analysis and presenting insights to inform decisions.
Requirements
- At least 5 years of experience working in Tableau
- Strong experience in big data modeling, data analysis, and Business Intelligence (BI) tools such as Tableau, Power BI or QlikView.
- Strong analytical mindset and proficiency in data manipulation using SQL, Excel, and other tools.
- Strong written and verbal communication skills, with the ability to communicate complex technical information to non-technical stakeholders.
- Experience in working with Agile methodologies and the ability to work in a fast-paced, results-oriented environment.
- Experience with workflow modelling would be a plus.
Benefits
- Comprehensive Medical Coverage:Health insurance of INR 7.0 Lakhs for you and your family (up to 6 members), ensuring complete peace of mind.
- Robust Protection Plans:Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.
- Retirement Benefits:PF and Gratuity provided as per standard government regulations.
- Flexible Work Options:Enjoy hybrid work arrangements & flexible working hours
- Generous Leave Policy:21 days of annual leave, in addition to 10 company-declared holidays.
- Employee Well-being Spaces:Access to a dedicated break-out area with round-the-clock refreshments for relaxation and rejuvenation.
Skills Required
- Bachelor’s or master’s degree in technology, such as BTech, MTech, or MCA.
- At least 5 years of experience working with Tableau.
- Strong experience with big data modeling, data analysis, and BI tools such as Tableau, Power BI, or QlikView.
- Proficiency in data manipulation using SQL, Excel, and other tools.
- Strong written and verbal communication skills, including communication of complex technical information to non-technical stakeholders.
- Experience working with Agile methodologies.
- Experience with workflow modeling.
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The Company
What We Do
DATAECONOMY is a global, cloud-first data and AI consultancy delivering enterprise-grade solutions through an innovative intellectual-property suite. Its work spans data and BI platform modernization, self-service AI, data mesh and fabric, master data management, governance, cloud enablement, digital engineering, knowledge graphs, and machine lakes supporting cybersecurity and financial-crime use cases for enterprise clients.
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