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Job Description

BE A PART OF A REVOLUTIONARY CHANGE

At PMI, we’ve chosen to do something incredible. We’re totally transforming our business and building our future on one clear purpose – to deliver a smoke-free future.

With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.

The scale of our transformation means we’re effectively building a vast new business, at pace. In P&C (People & Culture - our HR function), we have a huge part to play, defining and shaping our new customer focused culture, organizing functions to work more effectively together, and attracting the best talent with new types of skills to join us.

It’s an exciting, ever-changing environment – ideal for HR subject experts who are driven, disruptive and dynamic. If you’re comfortable with ambiguity and excited by the challenge of shaping things from the ground up, you’ll be in your element here. There’s endless space to develop too, so you’ll be progressing your career as fast as you build our smoke-free future.


YOUR ‘DAY TO DAY’
  • Building data models for decision making – more leading / predictive KPIs to help predict, forecast and ultimately answer business questions, using advanced statistics e.g., correlation, regression, decision tree, simulations, ANOVA etc.
  • Creating business intelligence models and tools specific to P&C / people metrics. e.g.: strategic workforce planning, organization network analysis, talent analytics etc.
  • Creating advance HR dashboard with data visualizations.
  • Develop data warehouse to support people analytics and business intelligence tools.
  • Provide standard reports and analysis to support other department needs in relation with P&C data.


WHO ARE WE LOOKING FOR?
  • Bachelor's or Master's degree with intermediate to advanced quantitative education, coming from a quantitative academic field e.g., Mathematics, Statistics, Economics. For example, understanding driver and feature analysis, and how to best deploy them within data models or dashboards
  • High proficiency in English, both written and verbal.
  • At least 2 years hands on experience in creating sophisticated dashboards that monitor and predict outcomes, preferably with PowerBI, but could also be with Tableau. Able to consult with the business to turn business questions / objectives into measures
  • Beginner to intermediate understanding of data science languages, such as Python and R, having applied these languages practically in some models or data visualizations, with a passion to learn new methods and tools.
  • Data lake – Being part of the data warehouse team and ensuring that it is fully utilized for all business intelligence tools.
  • Project Management experience with Agile Methodology.
  • Influencing skills and ability to build trust, collaborate, and engage with senior stakeholders
  • Understanding of how to create business intelligence regimes, thinking through the right channels for data and insights to which audiences.
  • Understanding of GDPR and data privacy issues, preferable with employee data in mind.
  • Willing to be located at Jakarta/Surabaya.


WHAT WE ARE OFFER
Our success depends on our talented employees who come to work here every single day with a sense of purpose and an appetite for progress. Join PMI and you too can:

  • Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.
  • Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong.
  • Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress.
  • Take pride in delivering our promise to society: to deliver a smoke-free future.

To join our growing team…

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Job Detail

  • Job Id
    3538bfd00f7e4ea2
  • Location
    id
  • Company
  • Type
    Private
  • Employment Status
    Permanent
  • Positions
    Available
  • Career Level
    Experience
  • Gender
    Male/Female

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