WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

The Tableau Developer will be responsible for developing, and optimizing data visualization solutions that enable data driven decision-making across the business. This role requires deep technical expertise in Tableau, strong SQL capabilities, and the ability to translate complex analytical problems into intuitive, high impact dashboards. The position offers opportunities to influence BI strategy, enhance data governance maturity, and collaborate with cross functional teams in a dynamic environment.Tableau Development & Data ModellingDevelop, enhance, and maintain advanced Tableau dashboards with a focus on usability, scalability, and performance.Build robust data models and semantic layers to support enterprise BI use cases.Create calculated fields, parameters, LOD expressions, aggregates, and reusable data assets.Optimize dashboard performance through query tuning, extract strategies, and efficient data structures.Utilize Tableau Prep and other data preparation tools for data cleansing, transformation, and enrichment.Apply best practices in UI/UX, colour theory, layout optimization, and visual storytelling.Insight Generation & CommunicationPresent insights using strong visual storytelling techniques tailored to business stakeholders.Translate complex analytical findings into clear, actionable business recommendations.Collaborate with analysts and business teams to refine KPIs, metrics, and performance drivers.Ensure dashboards are intuitive, business aligned, and value driven.Collaboration & IntegrationWork closely with data engineers and solution architects to ensure efficient integration with data pipelines.Partner with cross-functional teams to understand business needs and convert them into analytical and visualization solutions.Collaborate in Agile environments, managing sprint tasks, user stories, and prioritisation.Contribute to documentation, knowledge management, and governance frameworks across teams.Tools & TechnologyExpert-level proficiency in Tableau Desktop (required) and Tableau Prep.Strong SQL experience for querying, modelling, and transforming large datasets.Working knowledge of AWS Redshift or similar cloud data warehouse platforms.Experience using Jira, ServiceNow for workflow and task management.Experience with documentation tools such as Confluence, Bitbucket, and Collibra.Familiarity with modern BI architectures, data governance practices, and metadata management concepts.Leverage AI-assisted development tools such as GitHub Copilot to support SQL development, debugging, documentation, and productivity across analytics and BI workflows.Apply responsible AI practices when using generative AI tools, including validation of AI-generated outputs and adherence to applicable Qualifications Bachelor’s degree in computer science, Data Analytics,Engineering, or a related discipline (required). Tableau Desktop certification (good to have).Experience Strong experience in SQL and data modelling. Experience with Tableau Prep and data transformation workflows. Exposure to AWS Redshift or similar cloud-based data warehouse technologies. Experience in analytics-driven roles with a consulting mindset.

Bachelor’s degree in computer science, Data Analytics,Engineering, or a related discipline (required). Tableau Desktop certification (good to have).Key Capabilities/Technical Competencies (skills, knowledge, technical or specialist capabilities)Strong understanding of data visualization principles, KPIs, and dashboard performance tuning. Excellent analytical and problem-solving skills. Ability to communicate technical insights to non-technical stakeholders clearly and effectively. Strong adherence to data governance principles, documentation standards, and quality controls. Attention to detail with a focus on accuracy, design, and user experience. Agile mindset with strong prioritization and multitasking skills. Ability to work both independently and collaboratively in fast-paced environments. Passion for delivering business value, continuous learning, and staying updated with BI trends.