IT Senior Data Analyst

BUCHAREST OFFICE As a IT Senior Data Analyst you will lead and improve analytical programs and present the results to the business unit/category/region leaders. You will analyze the variable granular data of the business and regularly use advanced models to deliver business insights across diverse business domains. You will answer and anticipate critical business questions and opportunities and deliver insights to the business. You will demonstrate use of data visualization and analytic tools to grasp business insights from mountains of data. You will also collaborate with multifunctional teams to improve key business priorities based on data-driven insights. Key Responsibilities:

• Owns end-to-end large-scale applications, products, services, projects, or foundational technologies.
• Shapes frameworks of work and defines the evolution of their area of scope, ensuring operational excellence and scalability.
• Influences technology decisions and leads teams, engaging in detailed, hands-on work as required.
• Demonstrates breadth of applied IT skills across at least two IT job profiles.
• Requires at least two relevant roles and experience managing or influencing people or organizations to achieve significant IT outcomes.

• Technical proficiency: Hands-on experience with Power BI, SQL, and enterprise data platforms
• Communication skills : Ability to communicate effectively with both technical teams and business leaders
• Bachelors or Master’s degree in quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Physics, Analytics, etc.) or equivalent work experience.
• Experience using analytics techniques (AI/Machine Learning, Econometrics, Operations Research, Statistics, Root Cause Diagnostics) to tackle defined business problems
• Data management, data modelling, and visualization skills/tools in one or more of the following: Databricks, SQL, Python, Tableau, Power BI or similar.
• Product or project management experience: Demonstrated ability to gather requirements, manage stakeholders, prioritize work, and drive product adoption
• At least two relevant IT roles with experience managing or influencing people or organizations to achieve significant IT outcomes

Preferred:

• Certifications: Friends of Data Science Level 1, Friends of Data Science Level 2, Friends of BI Builder - Power BI, UX BASIC
• Experience with Corporate Data Lakes
• Agile experience: Working knowledge of scrum methodologies and experience in cross-functional team environments
• Experience across domains and influencing senior leaders on key organizational, business, and technology decisions
• Product management training or certification

Becoming part of P&G, you will benefit of:

• Competitive salary package, annual bonus and vacation bonus​
• Private medical insurance & life insurance & 24 Hours Accident Insurance
• Stock Ownership Plan - You have the opportunity to buy P&G shares quoted on the New York Stock Exchange to participate in the profits of the Company and the company will match part of the investments
• Flexible working schedule & Hybrid Work from Home/Work from Office option
• Meal allowance and access to our private canteen
• Sports Program – will allow you to reimburse sport activities
• Dental & Glasses Plan - will allow you to reimburse dental and ophthalmological care
• Access to a variety of learning and development platforms, including Bookster, LinkedIn Learning, Harvard Business Review etc.
• Fresh fruits every day in the office
• Employee Assistance Program – confidential expert guidance and specialist support on any work, wellbeing, emotional, financial, physical or family issue
• Maternity/ paternity support - additional salary protection during maternity leave & additional paternity leave

Watch this video to learn more about our full recruiting process: Kindly be advised that at P&G, employment is exclusively extended on the basis of an Full-time Employment Contract. Apply only if you agree to these conditions. Tempo pieno R000158172 Experienced Professionals