Job Location
Bucharest
Job Description
We are seeking a motivated IT Data Analytics enthusiast to join our end-to-end Storeroom Global team. As an IT Data Analyst Junior Manager, you will be responsible for the reporting area of our Smart Storeroom Digital Service, playing a crucial role in collecting, analyzing, and interpreting data to provide meaningful insights that drive business decisions. This position offers an exciting opportunity to work in a dynamic and collaborative environment where you can contribute to our digitization journey by delivering accurate and actionable reports and visualizations.
As IT Data Analyst Junior Manager, you will
Collaborate with cross-functional teams, including software engineers, product owners, and business analysts, to understand reporting requirements and data needs
- Design, develop, and maintain data models, databases, and data integration processes to facilitate efficient and accurate reporting
- Collect, analyze, and interpret data from various sources to generate meaningful insights and actionable recommendations
- Develop and implement data visualization techniques, such as dashboards, reports, and interactive visualizations, to effectively communicate findings to stakeholders
- Identify trends, patterns, and anomalies in data, and proactively investigate data quality issues
- Document data analysis methodologies, data models, and reporting processes for future reference
- Contribute to the continuous improvement of data analysis and reporting processes, actively participating in team discussions and retrospectives
Becoming part of P&G, you will benefit of:
Employee Assistance Program – confidential expert guidance and specialist support on any work, wellbeing, emotional, financial, physical or family issue.
Job Qualifications
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field (or Bachelors in any field and equivalent experience)
- A first experience as Data Analyst or similar role, preferably in an IT or software development environment
- Understanding of data analysis methodologies, statistical concepts, and data modeling principles
- Data visualization tools knowledge (Power BI preferred)
- Familiarity with Azure Cloud services / KNIME / SAP is a plus
- Analytical and problem-solving skills, with the ability to translate complex data into actionable insights
- Excellent attention to detail and data accuracy
- Strong communication and collaboration abilities, with the ability to effectively communicate technical concepts to non-technical stakeholders
- Self-motivated with a passion for learning and staying updated with industry trends in data analysis and reporting
About us
We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.
Visit http://www.pg.com to know more.
Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivalled ideas.
We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.
Job Schedule
Full time
Job Number
R000112829
Job Segmentation
Recent Grads/Entry Level (Job Segmentation)