Posted 19 July, 2026
Data Analytics and Reporting
ClifyX
Bengaluru,Karnataka,India
Full Time
Reference: 365_594563_25-03168
| Experience as Product Manager / Product Owner/ Corporate Card Journey for a large scale, complex and time-sensitive project in Cards and Payment, with Banking Knowledge. Strong Expertise in Data reporting, Data reporting tools, Data Analytics. Client experience is a plus | |
| Key requirements | |
| Highly experienced professional with a strong background in cards, encompassing the card lifecycle and the corporate card journey for Banks and FinTech's | |
| Must have experience as a Product Owner/Product management, Data driven decision making, Product strategy and Roadmap | |
| Possess the ability to understand and analyze complex data to build insightful visual dashboards. | |
| Conduct in-depth data analytics to identify trends, patterns, and insights that drive business decisions | |
| Design and develop interactive and insightful data visualizations (e.g., dashboards, reports) using tools such as Tableau, Atwork, and Looker Studio | |
| Must Have strong business communication skills (As this is a client facing role) | |
| Should be skilled in enabling live query data, also should be able blend data from various sources to create unified datasets for visualization in data reporting tools. | |
| End-to-End Product management support across workstreams, handling dependencies, prioritization, and changes | |
| Must have worked on analyzing data insights from already built in dashboards | |
| Must have worked on data analysis, data visualization, data analytics, data reporting | |
| Should understand Data Migration and Data Ingestion logics/flows and principles | |
| Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to understand their data needs and deliver effective solutions. | |
| Must be excellent communicator and has track record of working with senior stakeholders. | |
| Must have experience managing large programs for Banks and FIs | |
| Plan and execute PI ceremonies and should be able to articulate Capabilities/Features/User stories | |
| Contribute to the development and maintenance of data documentation and data governance practices |
