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.

· 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.

それは何ですか

$71,400.00 - $100,800.00

これは、勤務地、候補者のスキル、経験、教育レベルなど、多くの要素を考慮に入れています。その他の仕事関連の要因.

Kenvueは機会均等雇用者であることを誇りに思っています。人種、肌の色、宗教、性別、性的指向、性同一性、年齢、出身国、または保護された退役軍人の地位に関係なく、すべての資格のある応募者は、能力に基づいて雇用の検討を受け、障害に基づいて差別されることはありません。