Data Analyst 2, Customer Complaints

Data Analyst 2, Customer Complaints

Что мы делаем

At Kenvue, мы осознаем необычайную силу повседневной заботы. Основанный на более чем вековом наследии и уходящий корнями в науку, мы являемся домом культовых брендов, включая NEUTROGENA®, AVEENO,® TYLENOL,® LISTERINE,® JOHNSON'S® и BAND-AID®, которые вы уже знаете и любите. Наука – наша страсть; забота – это наш талант.

Кто мы

Наша глобальная команда – это ~ 22 000 блестящих людей с культурой рабочего места, где каждый голос имеет значение, а каждый вклад ценится. Мы увлечены идеями, инновации и стремление поставлять нашим клиентам лучшие продукты. Обладая опытом и эмпатией, быть Kenvuer означает иметь возможность влиять на миллионы людей каждый день. Мы ставим людей на первое место, заботимся о настолько, завоевываем доверие наукой и смело решаем – и вас ждут блестящие возможности! Присоединяйтесь к нам, чтобы формировать наше будущее и ваше. Для получения дополнительной информации, нажмите here.

Role reports to:

SR MGR GLOBAL CV SYSTEMS & TRENDING

Location:

North America, United States, New Jersey, Summit

Место работы:

Полностью на месте

Что ты будешь делать

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.

Что в этом для тебя

$0.00 – $0.00

Это учитывает ряд факторов, включая место работы, навыки, опыт кандидата, уровень образования и другие факторы, связанные с работой.

Kenvue гордится тем, что является работодателем равных возможностей. Все квалифицированные кандидаты будут рассматриваться при приеме на работу на основе заслуг независимо от расы, цвета кожи, религии, пола, сексуальной ориентации, гендерной идентичности, возраста, национального происхождения или защищенного статуса ветерана, и не будут дискриминироваться по признаку инвалидности.