Lead Data Analyst

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