Procter & Gamble is searching for Business Analytics Director.
Role summary:
In this senior role, you will be responsible for the team running data-driven digitalization in P&G Russia. You will need to be an inspirational leader able to convert insights into actions that improve P&G’s business results.
Your Responsibilities Will Include:
Be the leader for the Eastern Europe Analytics team: design and implement Data Analytics strategies, identifying best analytical solutions to meet business needs
Develop or adapt required tools and capabilities and integrate them into multifunctional business processes to enable fast algorithm-based decision making
Lead, grow, and mentor a passionate team of Data Analytics Managers towards:
delivering regular insights by using advanced analytics techniques, mining Big Data, and applying best-in-class algorithms developed along with other Data Scientists
Quantifying key business drivers and assessing the sufficiency of plans to meet targets according to your models
Recommending actions with your algorithms to optimize the return on marketing investments
Forecasting key competitive threats and growth opportunities to design market strategies
Influencing their multifunctional counterparts to enable fast and effective project implementation
Develop closed-loop experimentation capabilities to test business hypotheses
Be part of the Eastern Europe IT Leadership Team and collaborate with respective business leaders in the multifunctional environment; represent EE Analytics in Europe and Global P&G communities
Understand business needs and connect your customers with different data, analytical tools, and other available resources
Compensation & Benefits:
Competitive base salary and annual bonus
Monthly lunch & flexibility allowance
Medical, travel, and life insurance
Possibility of enrollment in P&G International Stock Ownership Plan
Flexible work hours and a possibility to work from home
Access to P&G’s global comprehensive training portfolio
Qualifications:
Higher education: BSc or MSc in a quantitative field, e.g., Engineering, Data Science, Statistics, Computer Science, Physical Sciences, or Quantitative Social Sciences
Good command of English (Upper-Intermediate or higher)
2- 3 years of experience in previous Analytics/Data Science roles
Readiness to learn/improve new technical tools (e.g., Python, SQL, Azure, Power BI)
Strong communication skills (verbal and written), you should be a good storyteller
Strong analytical skills
Great leadership skills together with a consultative mindset
Passion to grow a business and influence across levels and functions
Nice to have:
Previous work experience in roles requiring Python knowledge
Work experience or certification on Cloud Infrastructure: MS Azure, Google Cloud Platform
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