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    Senior Performance Data Analyst - Philippines, Manila, Pilipinas - Cambridge University Press & Assessment | Manila

    Cambridge University Press & Assessment | Manila
    Cambridge University Press & Assessment | Manila Philippines, Manila, Pilipinas

    5 araw ang nakalipas

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    Buong oras
    Paglalarawan

    Discover a world of endless possibilities with Cambridge University Press & Assessment, a distinguished global academic publisher and assessment organisation proudly affiliated with the prestigious University of Cambridge.

    We are looking for a Performance Data Analyst to join the Business Intelligence Team in Cambridge International Education. As a key member of our team, your goal will be to collate, analyse and visualize business performance information to allow senior managers and leaders to made evidenced business decisions. You will have the opportunity to use data engineering, modelling and analysis skills to achieve this.

    Why Cambridge

    At Cambridge, our unwavering commitment is to excel in education, learning, and research on a global scale. With a presence in over 170 countries, we empower millions of individuals, unlocking their potential and enabling their success. From dedicated teachers shaping young minds to visionary researchers pushing the boundaries of knowledge, we embody a relentless pursuit of enlightenment, curiosity, and understanding.

    We embrace change as an opportunity for growth and progress, constantly adapting to meet the evolving needs of our customers. Collaboration and attentive listening are at the heart of our journey, as we work hand in hand with our customers and each other to innovate and discover more effective ways to achieve our goals. We believe people thrive in an environment where Trust and Empowerment are at the forefront, which is why all our new team members are provided regularisation on their first day so they can start #PursuingPotential from day one.

    Joining Cambridge means becoming a part of an extraordinary institution renowned worldwide. Beyond that, you'll become a part of a vibrant and forward-thinking community that transcends tradition, fostering a culture of continuous growth and personal development. Here, we provide the right environment for you to thrive, supporting your professional journey and empowering you to reach your highest potential, that is why our pay philosophy is intricately tied to your skills and competencies, ensuring that your compensation aligns with the unique value you bring to the role you are applying for.

    What can you get from Cambridge

    In this role, you'll have the opportunity to collaborate with colleagues from diverse branches, expanding your horizons and enriching your understanding of different cultures. We value your wellbeing and offer stability, fostering your professional and personal growth through internal and external activities and training sessions to help enrich your skillset.

    Enjoy work-life balance flexibility through our range of options, including flexible schedules, hybrid work arrangements, and generous paid leave. As a regular employee on Day One, you'll have access to comprehensive healthcare benefits, ensuring your peace of mind with coverage for dependents, group life insurance, and robust well-being programs.

    What makes you the ideal candidate in this role

    As a Performance Data Analyst, your role is essential in making sure that our global sales teams have access to all the performance data they need to make informed business decisions. This role is vital to ensuring that the business data we hold is used effectively, allowing us to deliver our growth targets in terms of customer acquisition and retention.

    The following will help you be an ideal candidate for this post:

    • Relevant degree or equivalent qualification, or other evidence of equivalent knowledge
    • Excellent skills in data visualisation tools such as Power BI and Amazon QuickSight,
    • Knowledge of automation tools such as Power Automate, Power Apps and their implementation in a business environment.
    • Confident in using standard analytical approaches and interpreting data, and in using simple machine learning methods.
    • Proficient in programming language such as SQL, Python, R, DAX
    • Understanding of data relationship concepts, data engineering and data modelling techniques
    • Excellent communication and interpersonal skills, with the ability to communicate with both technical and non-technical stakeholders.

    If you have a love of data and how it can be used to gain insights and drive improvements weinvite you to pursue your potential with us.

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