Data Analyst 2, Customer Complaints

我們做什麼

在 Kenvue，我們意識到日常護理的非凡力量。我們以一個多世紀的傳統為基礎，植根於科學，是標誌性品牌的品牌 - 包括您已經熟悉和喜愛的 NEUTRGENA®、AVEENO、TYLENOL®®、LISTERINE®、JOHNSON'S® 和 BAND-AID®。科學是我們的熱情所在;關心就是我們的才能。

我們是誰

我們的全球團隊由 ~ 22,000 名才華橫溢的員工組成，他們的職場文化中，每個聲音都很重要，每一個貢獻都受到讚賞。 我們熱衷於洞察， 創新並致力於為我們的客戶提供最好的產品。憑藉專業知識和同理心，成為 Kenvuer 意味著每天有能力影響數百萬人。我們以人為本，熱切關懷，以科學贏得信任，以勇氣解決——有絕佳的機會等著您！加入我們，塑造我們和您的未來。有關更多資訊，請按兩下 here.

Role reports to：

位置：

工作地點：

你會做什麼

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.

對您有什麼好處

這考慮了許多因素，包括工作地點、候選人的技能、經驗、教育水準和其他與工作相關的因素

Kenvue 很自豪能成為一個機會均等的雇主。所有合格的申請人都將根據業績獲得就業考慮，不分種族、膚色、宗教、性別、性取向、性別認同、年齡、國籍或受保護的退伍軍人身份，並且不會因殘疾而受到歧視。