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Advanced Analytics Product Owner

1.00 to 2.00 Years   Bangalore   06 May, 2023
Nokia Solutions and Networks India Pvt Ltd
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryTelecom / ISP
Functional AreaGeneral / Operations Management
EmploymentTypeFull-time

Job Description

    You will be part of a central data enterprise team within the data technology pillar that aims at building the best data technology solutions for Nokia. You will work with other product owners to create the best-in-class advanced analytics platform with leading data science/machine learning/artificial intelligence capabilities to support the business in solving the most critical challenges. What you will learn and contribute to As part of our team, you will:
    • Own the implementation of a new data advanced analytics (AA) platform from concept to delivery (acting as the SME expert for the organization)
    • Collaborate closely with engineers, business groups and further stakeholders to understand their needs and identify new opportunities to evolve the AA platform
    • Constantly communicate with all departments including senior leadership
    • Establish focus by creating a product vision, prioritizing activities and defining meaningful KPIs to track the evolution and impact of deliveries
    • Apply agile and lean principles in design and implementation
    Your skills and experience You have:
    • 2+ years of experience as a technical product owner, or comparable type of role
    • 5+ years of overall experience in software/technology development with specific knowledge in some of the most relevant data and analytics cloud technologies
    • 1-2+ years of experience in participating in data and analytics initiatives in a corporate environment or a growing, data-driven startup
    • Understanding of advanced analytics, including data management, different types of machine learning approaches and machine learning pipelines
    • Sound understanding of agile methodology and other project management methodologies
    It would be nice if you also had:
    • Practical knowledge of data engineering concepts and best practices, including related to DataOps, MLOps and relevant tools (e.g., Kubernetes, Kedro, .)
    • Experience with implementing and leading advanced analytics projects in a corporate environment
    • Experience in designing, setting up and maintaining highly scalable advanced analytics tooling frameworks
    • Master s degree or equivalent in information technology, data science or related disciplines
    ,

Keyskills :
scrumagileproduct managementmarketingdeliverydata scienceproduct visiondata managementdata engineeringagile methodology

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