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Data Analyst, EMEA Analytics

職務分類:
掲載日:
終了日:
ID:
2507035064W

この仕事を共有する:

Kenvueは現在、a:

Data Analyst, EMEA Analytics

私たちがしていること

Kenvueで、日常のケアの並外れた力を実感します。100年以上にわたる伝統を基盤に、科学に根ざした当ホテルは、ニュートロジーナ®、アヴェーノ®、タイレノール®、リステリン®、ジョンソンズ®、バンドエイド®など、すでにお馴染みのアイコニックなブランドを展開しています。科学は私たちの情熱です。ケアは私たちの才能です.

Who We Are

私たちのグローバルチームは~22,000人の優秀な人々で、すべての声が重要で、すべての貢献が評価される職場文化を持っています。  私たちは洞察に情熱を注いでいます。 革新とお客様に最高の製品を提供することに取り組んでいます。専門知識と共感力を持つKenvuerであることは、毎日何百万人もの人々に影響を与える力を持つことを意味します。私たちは人を第一に考え、熱心に気を配り、科学で信頼を勝ち取り、勇気を持って解決します。そして、素晴らしい機会があなたを待っています!私たちと一緒に、私たちの、そしてあなたの未来を形作りましょう。詳細についてはをクリックしてくださいhere.

Role reports to:

Digital Solutions Manager

場所:

Europe/Middle East/Africa, Czechia, Prague, Prague

勤務地:

ハイブリッド

あなたがすること


The Analytics Data Analyst is responsible for enabling digital solutions and automations for the supply chain organization in EMEA region. 

Key Responsibilities

• Develop and implement innovative data analysis strategies to extract valuable insights from large datasets
• Create advanced data visualizations and dashboards to effectively communicate findings to stakeholders
• Collaborate with cross-functional teams to identify key business metrics and trends for decision-making
• Utilize statistical techniques to analyze complex data sets and provide actionable recommendations
• Stay updated on industry trends and emerging technologies to enhance data analysis capabilities
• Manage data integrity processes and follow current compliance regulations and standards
• Coordinate the analysis of monthly demand to ensure accuracy and identify trends
• Produce and review monthly reports within specified time frames
• Work on bug fixing and improving application performance
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency
• Manage End to End development cycle of a tool – Requirements gathering, Data discovery, data modelling, visualization, adoption, training & change management
• Collaborate with EMEA IT teams to support digital initiatives in the region
• Drive continuous improvement and optimization of processes and systems
• Develop and maintain technical documentation
 
What we are looking for

Required Qualifications

• 4-6 years of experience in data analysis or related field
• University/Bachelors Degree or Equivalent in a related field
• Proficiency in data visualization tools such as Tableau or Power BI
• Strong analytical skills with the ability to interpret and communicate complex data
• Experience with programming languages such as Python or R for data manipulation and analysis
• Proven working experience in data engineering and visualization
• Experience in SQL
• Experience of working on power platform

Desired Qualifications

• Bachelor's degree in Analytics, Statistics, Computer Science, or a related field
• Experience with SAP ERPs
• Ability to work independently and in a team environment
• Ability to solve complex business problems and present recommendations to management effectively, and good planning, organizational, analytical, and decision-making skills
 
What’s in it for you

Employee Benefits:

• 5 weeks of vacation and 3 sick days

• Hybrid model of working / home office

• Pension Insurance

• Meal vouchers, Pluxee benefit cafeteria, Company products with discount

• Language courses contribution

• Referral award

• Public transportation allowance

• Bonus based on company policy


Office Facilities:

• Nice area with restaurants with metro station 300 m from office

• Modern office with coffee and fruits, focus rooms 


Health and Wellness Benefits:

• On-site gym and massages

• Global wellbeing reimbursement, long term illness contribution, Accident, Life, and disability insurance

• Multisport card

• Parental leave and early returning parents program
 

Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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