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Procter & Gamble

IT Senior Data Analyst

Procter & Gamble is hiring an IT Senior Data Analyst in Bucharest, Romania. Level rates it ; you can apply on Procter & Gamble.

Level's read on this job

  • On Level's scale, this data analyst role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Databricks, Power BI and SQL.
  • Level classifies it as a senior role.
  • Level lists 873 other open roles at Procter & Gamble.

AI in this role

Lead analytical programs and use advanced models and machine learning techniques to deliver business insights and data-driven solutions.

DatabricksPower BISQLPythonTableau
data-analysismachine-learningdata-modelingstatistics

Job Location

BUCHAREST OFFICE

Job Description

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.

Job Qualifications

  • 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: https://www.youtube.com/watch?v=0bicvbpy0gI

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.

Job Schedule

Full time

Job Number

R000158172

Job Segmentation

Experienced Professionals

How we rate this

IT Senior Data Analyst at Procter & Gamble rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisMachine learningData ModelingStatisticsDatabricksPower BISQLPython

Also common in data analyst jobs at this level

Pay

Typical data analyst job
$114k

This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where data modeling was part of your work. What did you do?
  4. Tell me about a project where statistics was part of your work. What did you do?
  5. Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Analysis, Machine learning, Data Modeling, Statistics, and Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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