Product Manager – Business Analytics / Blockchain (739255)

    iET SA Published: February 22, 2021
    Location
    Zug, Switzerland
    Job Type

    Description

    For a permanent position at our client‘s site, based in Zug, we are looking for an experienced  Product Manager - Business Analytics / Blockchain.

    Our client is a global team of industry-leading experts focused on creating the future of blockchain mining and aiming to be the world’s largest, vertically integrated blockchain service provider.

    Qualifikationen Several years’ experience in a similar role with an analytical and quantitative focus - experience working for a startup is a significant plus experience with topics such as Blockchain, DLT, Tokenization and CryptocurrencySeveral years experience in building or working with an investigation tool know-how in implementing strategy on Blockchain / DLT business processes and infrastructure connections is an assert self-Starter - ability to execute and implement change (entrepreneurial mindset)Critical Thinking – strategic and highly analyticalProven Leadership – easily move others to action by planning, motivating, organizing and controlling work being done Interpersonal/Communication Skills – an innate ability to channel different points of view excellent consulting skills as well as technical writing and public speaking abilities

    Willingness to travel within Europe Fluent in English AufgabenDefine a new business line with a strong focus on Blockchain analytics, e.g. o Identifying, tracking and tracing bitcoins transactions; Risk rating bitcoin transactions; Identifying business needs, collecting data and analysis from competitors; Development of requirements; Based on the business needs: Define and/or find best tool in the market?; Does it work on BSV?Workout a concept/pre-study and create a baseline for decision (from a business need, strategy, business case including implementation) Identify and working closely with business analysts, data scientists, BSV specialized engineers Establish both short-term results plan and long-term strategy, including revenue forecasting combined data science input sources as analysis for actionable insight and prepare them for Blockchain algorithms create and govern interactions with various data segments visually represent data on Blockchain/DLT way based on inspecting, clustering, and modelling data create / design / propose an innovative solution with focus on Blockchain Monitor the effectiveness and stability of strategy models

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