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The Tiger Analytics team is looking for a BI Technical Product Owner to deliver innovation and tools to global business teams. This is a cross functional role that requires strong interpersonal skills and the ability to liaison with technical teams and interact with internal clients.
Key Responsibilities:
Manage various data analytics client projects, including projects in pricing, marketing, supply chain management, etc.
Discuss key business objectives with the stakeholders, understand how business users and customer data is collected, and suggest appropriate data collection methods.
Work with business executives to understand business constraints that may impact data science or machine learning models.
Present analytic solutions to business audiences highlighting the robustness of the solution and how it could help generate business value.
Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize the analytical solutions.
Desired Profile:
7+ years of experience working as a Data Engineer-Product with expertise in programming languages like Python/SQL.
Experience in strategizing and implementing digital and cloud solutions.
Experience in collaborating with business / IT stakeholders and product managers to ideate software solutions and build enterprise-scale applications and products.
Experience in Data migration projects, Cloud migration. Implementation Projects(AWS).
8 -12 years of professional work experience with at least 5 years in the technology consulting space as this is a hands-on role.
Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems into high-level analytics solution approach
Experience of working with leading ETL technologies
Solid understanding of cloud data platforms - AWS
Strong project management and team management skills and ability to work with global teams
Understanding the application of project mgmt. and agile methodologies
Experience in qlikview and Tableau.
Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
Graduate in Business Analytics or MBA or equivalent work experience
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