Data Analyst 2, Customer Complaints

Data Analyst 2, Customer Complaints

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:

SR MGR GLOBAL CV SYSTEMS & TRENDING

Location:

North America, United States, New Jersey, Summit

勤務地:

フルオンサイト

あなたがすること

Data Analyst II plays a critical role in supporting the Global Complaint Vigilance (GCV) team by driving complex analytics initiatives and developing scalable solutions for global business partners. This role is embedded within a team that leads strategic efforts in Data Governance, Database Infrastructure, and Advanced Data Analytics for the Global Complaint platform.

 

Key Responsibilities:

• Data Discovery & Ingestion: Support data analytics efforts by discovering relevant data within the Complaint Data Lake (CDL) and facilitating ingestion from source systems.
• Stakeholder Collaboration: Partner with system owners to understand upstream processes and data inputs, ensuring alignment and data integrity.
• Data Foundation Strategy: Lead initiatives to establish and maintain a robust data foundation in CDL, ensuring availability and curation of key quality data to support analytics and reporting needs.
• Advanced Analytics Development: Design and implement innovative data science methodologies to support global metrics, trend analysis, and risk management planning.
• Complaint Trend Analysis: Perform periodic analysis of complaint data to identify trends, risks, and opportunities for process improvement.
• Cross-Functional Engagement: Collaborate with global stakeholders including Consumer Care Centers, Medical Safety, Business Quality, Marketing, Internal Affiliates, and External Sites to ensure consistency and compliance in the complaint vigilance process.
• Training & Documentation: Assist in developing training materials and updating controlled documents related to complaint vigilance systems and processes.

 

Core Technical Skills & Tools:

• Power BI Development – dashboard creation, data visualization, and report automation.
• DAX (Data Analysis Expressions) and Power Query for advanced data modeling and transformation.
• SQL for querying and managing relational databases.
• ETL (Extract, Transform, Load) processes for data integration and pipeline development.
• Data Lake Architecture and Data Governance principles.
• Python or R for statistical analysis and predictive modeling (as applicable).
• Familiarity with Azure Data Services or other cloud-based data platforms.

Requirements:

• A minimum of a bachelor’s degree is required. A focus in Data Science/Engineering, or related field is preferred.
• A minimum of 2 years of hands-on experience in complaint analysis or related roles
• Proven experience in data analytics, preferably within a regulated or quality-focused environment.
• Strong understanding of data lake architecture and data governance principles.
• Proficiency in data querying, visualization, and statistical analysis tools.
• Proficiency in Microsoft Power BI or equivalent data visualization tools
• Excellent communication skills and ability to work across global teams and functions.

Other Preferred Experiences:

• Experience supporting manufacturing, packaging, and development operations is preferred.
• Experience supporting aspects of the complaint vigilance life cycle for pharmaceutical, device, and /or cosmetic products is preferred.
• Experience with one or more technologies supporting complaint handling preferred.
• Expertise with root cause analysis techniques including but not limited to: Brainstorming, data analysis and collection tools, 5 Whys, Fishbone (Cause and Effect), FMEA, and DMAIC preferred.
• Experience with tools and techniques supporting qualitative risk analysis including but not limited to: Probability and impact assessment (likelihood of recurrence and potential effect), probability and impact matrix (risk ratings, rating rules), and risk categorization (by root causes, other qualifiers) is preferred.
• Experience with systems and tools supporting analysis and reporting preferred.

#LI-SR1

それは何ですか

$72,675.00 - $102,600.00

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