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Data Analytics and Insights Manager

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Employer: P&G
Domain:
  • Engineering
  • Marketing
  • Sales
  • Job type: full-time
    Job level: 1 - 5 years of experience
    Location:
  • BUCHAREST
  • nationwide
    Updated at: 26.12.2018
    Remote work: On-site

    This Analytics&Insights role is part of our Integrated Business Optimization (IBO) corporate team whose mission is to keep P&G on the top tier of capabilities in using data and analytics to derive actionable consumer and business insights.

    What we offer:

    • Work closely with our multi-functional business partners and senior leaders to influence the company strategy of a very dynamic, diverse and flexible environment
    • Build scaled media measurement, reporting & analytic capabilities in a multi-screen and multi-touch point world.
    • Develop capabilities that quantify key business drivers, assess sufficiency of plans, and improve sales & return on our marketing investments – media and trade.
    • Enable teams to assess business potential of innovative ideas and launch successful initiatives.
    • Be the broader Analytics and Insights organization resource on big data application and data analysis.
    • Build closed loop experimentation capability.
    • Lead development of analytics capability of big data as it relates to consumer insights & analytics.
    • Learn to work effectively with people of different nationalities and cultures
    • Dynamic and respectful work environment – employees are at the center, we value every individual and encourage initiatives, promoting flexibility and work/life balance

    Qualifications

    • Ability to contribute and influence across levels and functions.
    • Creativity, innovation, initiative, follow-through, communication, and priority-setting.
    • History from school or work experience of strong leadership through envisioning, direction setting, enrolling others and thinking/problem solving.
    • Bachelor’s degree required in Statistics, Engineering, Computer Science, or Physical Sciences. Master’s degree is helpful.
    • Strong analytical skills, using multiple data sources.
    • Excellent command of English language