Lead Data Analyst

Details of the offer

Requisition ID:64272
ABOUT WHIRLPOOL CORPORATION
Whirlpool Corporation (NYSE: WHR) is a leading kitchen and laundry appliance company, in constant pursuit of improving life at home and inspiring generations with our brands. The company is driving meaningful innovation to meet the evolving needs of consumers through its iconic brand portfolio, including Whirlpool, KitchenAid, JennAir, Maytag, Amana, Brastemp, Consul, and InSinkErator. In 2023, the company reported approximately $19 billion in annual sales, 59,000 employees, and 55 manufacturing and technology research centers. Additional information about the company can be found at WhirlpoolCorp.com.
The team you will be a part of
Safety Operations Data Systems & Analytics
This role in summary
As a Product Safety and Regulatory Compliance Senior Data Analyst within Whirlpool's Global Product Safety and Regulatory Affairs (GSR) organization, you will have the opportunity to work with Regional Safety Managers, Product Safety Managers (PM's), Product Specialists and our internal laboratory personnel to develop analysis and reporting tools used as the foundation for product investigations, proactively understand issues pertaining to alleged product safety concerns, and provide early warning alerting on new or rising incidents and issues to the internal Safety team.  In this role, your work will contribute to the development and implementation of the next generation of reporting and analytical tools using suitable contemporary technologies in order to support the GSR vision and GSR teams based around the globe.
Your responsibilities will include
Develop and manage business intelligence solutions for the organization

Analyze business requirements and processes and make recommendations to leadership for implementation; demonstrate understanding of business requirements

Improve and streamline standard processes regarding data flow and data quality to improve data accuracy, viability and value; Identify opportunities to optimize processes to reduce efforts using automation in data collection, data analysis, etc.

Provide ongoing development and maintenance of an operational data store and enterprise data warehouse using BI best practices, relational structures, dimensional data modeling, structured query language skills, data warehouse and reporting techniques

Compare risk assessment approaches across regional networks to help with risk research

Investigate and assess potential risk factors that may arise from claims, lawsuits, and data analysis

Make recommendations for mitigating risks, reducing costs, and mapping processes for tracking risks and analysis

Assist in the planning, development, and implementation of operational risk frameworks, policies, guidelines, standards, and procedures

Develop data analyses, interpret data, analyze results using statistical techniques; analyses and techniques not limited to predictive modeling, forecasting, population segmenting, distribution fitting, etc.

Provide detailed insights on data patterns and impacts on business through contemporary reporting tools and methods

Proactively escalate issues to stakeholders for corrective actions

Organize and deliver training when required/appropriate

Minimum requirements
BE or BS degree in Engineering, Computer Science, Statistics, Data Sciences, or related field

9+ year experience in Safety & Regulatory/Quality/GSS/ Manufacturing/Commercial/EHSS/Finance role, with functional knowledge and experience with descriptive & prescriptive Business Analytics and Business Intelligence.

Preferred skills and experiences
Proficient in strategies, applications, data, technologies used by an organization for data collection, analysis (quantitative and qualitative) and generating insights to derive strategic business opportunities

Proven planning, thought leadership, and decision-making skills

Demonstrate ability to work both independently and in a team environment

Ability to work with minimal guidance; seeks guidance on only the most complex tasks

Product Safety, Engineering, or Quality experience in a Global role

Continuous Improvement mindset, ability and desire to improve and streamline processes

Strong analytical, problem-solving & data visualization skills

Demonstrate basic level understanding of Database Management

Experience with text modeling and working with unstructured data

Excellent verbal and written communication and interpersonal skills

Able to provide explanations and information to others on difficult issues

Experience with Quality, Service, or Customer Experience related systems or processes

Trained and/or certified in Lean and or Opex 

Expertise in statistics (Regression, Risk Forecasting (Weibull), Clustering, Decision Trees, Optimization, Time Series, Probability, and other related advanced methodologies)

Technical Expertise
Google Suite, Microsoft Excel (Visual Basic) 

Database such as MS SQL / Any other Std DB 

Tableau or related visualization tool 

AWS Services (Redshift/S3) / Python Programming / GCP and Google App Script

Connect with us and learn more about Whirlpool Corporation
See what it's like to work at Whirlpool by visiting Whirlpool Careers. Additional information about the company can be found on Facebook, Twitter,LinkedIn ,Instagram andYouTube .
At Whirlpool Corporation, we value and celebrate diversity. Whirlpool Corporation is committed to equal employment opportunity and prohibits any discrimination on the basis of race or ethnicity, religion, sex, pregnancy, gender expression or identity, sexual orientation, age, physical or mental disability, veteran status, or any other category protected by applicable law.


Nominal Salary: To be agreed

Source: Eightfold_Ai

Job Function:

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