Jon Opening in Dubai with P&G Group: Business Data Analyst

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:

1. The ability to deliver business goals.
2. 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:

1. You will have business responsibilities from Day one.
2. 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.
3. You will receive continuously coaching & mentorship
4. We are passionate about our work. We will make sure you receive both formal training and regular mentorship from your manager and others.
5. You will work in a dynamic and respectful work environment
6. We live our Purpose, Values, and Principles daily. We value every individual and encourage initiatives promoting agility and work/life balance.

Qualifications:

1. Bachelor’s Degree or higher education in Statistics, Operation Research, Systems Engineering, Decisions Sciences, Applied Math, Economics, or any relevant quantitative degree.
2. Demonstrated success in ineffective leadership, problem-solving and priority setting.
3. Excellent collaboration skills and ability to work across diverse organizations and teams.
4. Passion to transform how decisions are made through ad hoc & scaled application of analytics.
5. Demonstrated success at deriving insight from data and effectively communicating those insights to drive action.
6. Strong technical & analytical skills (Power BI, R, Python, SAS, Knime, SQL, optimization, modeling).
7. English fluency, Arabic is a plus.

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