P&G group offers a job opportunity as a Business Data Analyst in Dubai, UAE.
Job Description and Responsibilities:
As a Data analyst at P&G, you will drive better decision-making and transform how P&G operates, by influencing the key strategic decisions of General Management, and by embedding analytics into our core work processes. The majority of data analysts are advisors to P&G’s senior leadership keeping them abreast of the current market and competitive dynamics, and informing their ongoing understanding of:
- The ability to deliver business goals.
- How the P&G team should allocate its investments across its portfolio (markets & brands) of businesses to deliver the greatest returns.
Data Analysts at P&G are:
- Passionate about Analytics: Analytic skills are the foundation of this role.
- Business Leaders: They need to be effective communicators, self-motivated, and able to drive insights into actions that improve P&G’s business results. Business knowledge and interpersonal skills are required to thrive in a multifunctional leadership team. Your job is to communicate complex data or algorithms into simple conclusions that will empower leadership to drive action based on the insights you find.
Workplace Environment:
- You will have business responsibilities from Day one.
- You will start working on key brands from the beginning. Over time, as you expand your impact on the business, your responsibility and ownership will quickly grow.
- You will receive continuously coaching & mentorship
- We are passionate about our work. We will make sure you receive both formal training and regular mentorship from your manager and others.
- You will work in a dynamic and respectful work environment
- We live our Purpose, Values, and Principles daily. We value every individual and encourage initiatives promoting agility and work/life balance.
Qualifications:
-
Bachelor’s Degree or higher education in Statistics, Operation Research, Systems Engineering, Decisions Sciences, Applied Math, Economics, or any relevant quantitative degree.
- Demonstrated success in ineffective leadership, problem-solving and priority setting.
- Excellent collaboration skills and ability to work across diverse organizations and teams.
- Passion to transform how decisions are made through ad hoc & scaled application of analytics.
- Demonstrated success at deriving insight from data and effectively communicating those insights to drive action.
- Strong technical & analytical skills (Power BI, R, Python, SAS, Knime, SQL, optimization, modeling).
- English fluency, Arabic is a plus.
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