Bayer

HR People Data Analyst

Bogota, Colombia Mexico
SQL Python
Description
 

 

HR People Data Analyst 

 
  

Ever feel burnt out by bureaucracy? Us too. That’s why we’re changing the way we work— for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here https://www.bayer.com/en/strategy/strategy

 

 

 

TASKS AND RESPONSIBILITIES

 

  • Collaborate with HR and Other Business Units: Assess data requirements and translate those needs into actionable insights to ensure alignment with business objectives.
  • Analyze and Interpret HR-Related Data: Identify trends and insights that inform business decisions, ensuring a comprehensive understanding of the business and market context to create targeted data analyses that address specific challenges.
  • Develop Self-Service Data Solutions: Create dashboards and other tools to enhance the speed and effectiveness of the decision-making process.
  • Generate Insights for Stakeholders: Support stakeholders in the decision-making process by applying technical skills and leveraging appropriate technologies.
  • Identify Opportunities for Continuous Improvement: Leverage data analytics to propose optimizations in HR processes and enhance operational efficiency.
  • Ensure Data Integrity and Accuracy: Implement best practices in data governance and management to maintain high-quality data standards.
  • Foster a Data-Driven Culture: Empower colleagues within the HR team to effectively utilize analytical insights in their daily tasks, promoting a culture of data-driven decision-making.

 

 

WHO YOU ARE

 

  • Bachelor’s Degree.
  • Minimum of 3 years of experience in data analysis, preferably within an HR environment.
  • Experience as a Data Analyst, with a strong focus on data visualization and analytical techniques.
  • Proficient in Power BI and other data visualization tools.
  • Strong SQL skills for data querying and manipulation.
  • Knowledge of Python programming for data analysis.
  • Solid understanding of statistical methods and data translation techniques.
  • Strong data visualization construction skills and UX knowledge.
  • Analytical and Problem-Solving Skills.
  • Exceptional analytical skills with the ability to translate complex data into clear, actionable insights.
  • Strong storytelling skills to effectively communicate data findings.
  • Communication and Collaboration: Excellent communication and presentation skills, capable of explaining technical concepts to non-technical audiences.
  • Proactive and collaborative mindset in a dynamic work environment, with a strong attitude toward teamwork.

 

 

WHAT WE OFFER

 

  • Hybrid Working Style
  • Full time employment contract
  • Attractive benefits package

 

 

At Bayer we believe in diversity, equity and inclusion. We aim to create an environment in which everybody can feel authentic, respected and equally valued. Every day we strive to reflect our values through our people unique capabilities, self-experiences, and aspirations. We, intentionally seek diversity, to enable our people bring their fullest potential out and encourage others to likewise do so. Our company wins, when we leverage our capabilities to lead the cultural transformation in our business, positively impacting the society.

 

Candidates who meet the requirements based on the job profile will be considered for employment regardless of physical disability, race, color, religion, sex, age, sexual orientation, gender identity and will not be at a disadvantage if unemployed.

 

 

  
Application Period:01/13/2025 - 01/27/2025Reference Code:837205   
Division:Enabling Functions  Location:Mexico : Ciudad de México : Ciudad de México || Colombia : Cundinamarca : Bogota   
Functional Area:Human Resources  Work Time:Full Time 
Employment Type:Regular    
 
 
Contact Us
 
Address E-Mail
Ciudad de México, México

 

HROP_TA_PACA@BAYER.COM
 

 

 
 
 
Bayer
Bayer
Biotechnology Chemical Health Care Life Science Pharmaceutical

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