Data-Driven Insights Manager
3 weeks ago
Fuel Growth for Global Brands at Procter & Gamble
Are you passionate about uncovering hidden opportunities within data and transforming them into actionable insights? Do you thrive in a dynamic environment where your analytical skills directly impact the success of world-renowned brands?
If so, this opportunity is for you. We are seeking a talented Data Analyst to join our vibrant analytics team at Procter & Gamble. You will play a crucial role in advising senior leadership on strategic decisions by leveraging your expertise in data mining, analysis, and visualization.
Your Impact- Identify and capitalize on growth opportunities within customer segments, product categories, pricing strategies, geographic locations, shelf placement, and promotional campaigns.
- Develop compelling insights for C-suite executives (Category Directors and above), seamlessly integrating customer data with their strategic objectives.
- Harness the power of big data, cloud technologies, advanced analytics, and machine learning to drive impactful business decisions.
At Procter & Gamble, you'll be part of a collaborative and supportive environment where your contributions are valued.
- Meaningful Responsibilities from Day One: You'll work on multi-million dollar brands like Fairy, Gillette, Ariel, or Pampers, taking ownership of projects and responsibilities from the start.
- Continuous Coaching and Development: Benefit from passionate colleagues, formal training programs, and ongoing mentorship from your manager.
- Dynamic and Respectful Work Environment: We prioritize our employees, fostering a culture of inclusivity, flexible work arrangements, and a healthy work-life balance.
- Competitive Benefits Package: Enjoy a comprehensive benefits package including a double-matched pension scheme, private health insurance, performance-based bonuses, share ownership opportunities, and discounted products.
We are seeking recent graduates or those graduating by summer 2024 with a strong analytical foundation.
- Demonstrated analytical capabilities and a passion for uncovering valuable insights from diverse data sets.
- A keen interest in extracting business value from statistics, data, and algorithms.
- Experience with data visualization tools such as Power BI.
- Familiarity with machine learning concepts or experience with relevant programming languages.
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