Data Analyst
Procter & Gamble
Warsaw
5 d. temu

Warsaw, Poland

Are you looking to take your career to the next level?

We are looking for a passionate Data Analyst to join our Global Internal Audit team, where you will be responsible for developing analytical solutions that elevate the effectiveness and efficiency of P&G’s risk assurance.

You will have the opportunity to collaborate with Global Internal Audit colleagues from around the world. This role also has the potential to broaden your stewardship skills through participation on audits as an embedded data analyst / auditor or to build organizational capability via design and deployment of trainings that elevate your peers’ digital capabilities.

Responsibilities :

  • Partner with one of our Audit SME Centers of Expertise (COEs) to drive audit innovation through data analytics.
  • Evaluate financial, compliance, and operational risk.
  • Enable and handle data acquisition, transformation, and analysis with sophisticated analytical techniques that support or improve audit analysis and decision making.
  • Build and use Data Visualization tools to identify and communicate risk insights.
  • Enable automation to simplify the audit process.
  • What we offer :

  • Responsibilities as of day 1. You will have project ownership and autonomy to deliver change and results from the beginning.
  • Dynamic and encouraging work environment. At P&G our employees are at the core, we value every individual and encourage initiatives, promoting agility and work / life balance.
  • Continuous mentoring, you will work with hardworking people and receive ongoing coaching and mentoring from your line manager and other colleagues.
  • Corporate and functional training will enable you to succeed and develop from day one.

  • Industry Certifications (ITIL, DevOps, MS portfolio etc), full additional benefit program like private health care, P&G Dynamic Living programs like sport cards, in-office fitness center, PG stock options, saving plans, lunch subsidy, regular salary increases and possible promotions, flexible work arrangements, mentoring programs & trainings.
  • Big Picture understanding of P&G IT and Product Supply organization and its Services in global multi-functional teams with several locations across continents.
  • Job Qualifications

  • Strong track record of analytical thinking, envisioning change, agility, and communication.
  • Previous experience with data modeling and data wrangling .
  • Coding experience in SQL ( MySQL preferred).
  • Basic experience or knowledge on Data Science and Data Engineering .
  • Experience with any visualization software , ( Tableau or Power BI preferred).
  • Willingness to learn new platforms, solutions, and programming languages, including process mining , SAP HANA , and Robotic Process Automation .
  • English and Polish proficiency and at least a Bachelor's degree in Computer Science, Computer / Systems / Industrial Engineering, Business / Management Information Systems or Software Development.
  • Nice to have :

  • Programming experience in Python or R .
  • Knowledge of ADL, ADB, ADF, AAS .
  • Machine Learning experience.
  • Robotic Process Automation experience .
  • Experience with KNIME or Alteryx .
  • Experience with SAP HANA .
  • Experience with SAS environment.
  • Who we are :

    P&G was founded over 180 years ago as a simple soap and candle company. Today, we are the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways.

    We’ve spanned three centuries thanks to three simple ideas : leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment! We commit to provide you with equal opportunities in employment! We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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