Principal Data Engineer, Workforce Analytics

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Principal Data Engineer, Workforce Analytics

Carrier is the leading global provider of healthy, safe and sustainable building and cold chain solutions with a world-class, diverse workforce with business segments covering HVAC, refrigeration, and fire and security. We make modern life possible by delivering safer, smarter and more sustainable services that make a difference to people and our planet while revolutionizing industry trends. This is why we come to work every day. Join us and we can make a difference together.

About this role

The ideal candidate will develop and maintain the data warehouse, pipelines, and data flows to support workforce planning data analytics needs. Your work will directly support the greater strategic workforce planning efforts to ensure business and teams have reliable and actionable data to plan. The individual will work closely with the people analytics team to drive quantitative workforce analytics, forecasts, or workforce demand optimization models.

Key Responsibilities

• Hands-on experience developing SQL data transformation, stored procedures, dataflows & pipelines to maintain a data warehouse environment in MS Fabric

• Develop workforce data analytics and reporting required views for action planning, enables business insights through data modeling or enterprise solutions.

• Has domain experience in the Human Resources field to create innovative data and analytics products that will help our Human Resources and business teams achieve their goals.

• This role requires you to provide solution development to build, enhance, and maintain workforce demand models as well as workforce planning driven reporting & analytics needs.

• Partnering with people analytics and digital/IT team on data pipelines and business intelligence solutions while leveraging existing reporting products.

• This role will support the business unit and digital leadership to understand the growing business needs and strategies where the application of AI and ML can yield and enhance existing processes.

• Responsible for data modeling, and partner with people analytics team in building/enhancing data interfaces and streamline data management work to support dashboard visualization and advance workforce insights and planning outcomes.

• Design automated solutions for building, testing, or monitoring where applicable.

• Analyze existing and new data sources and new systems and tools to enable the teams to consume and understand data more intuitively.

• Create and validate test plans, test scripts, and perform data validation.

• Run SQL queries, reports and ETL pipelines.

• Build and maintain data dictionary and process documentation for workforce planning datasets.

• Present solutions to leadership, management, architects, and developers

• Applies analytical and problem-solving experience with large-scale platforms, infrastructure, and organizations.

• Work with People Analytics teams to enhance and deploy new analytics capabilities in support of the broader mission to democratize data and analytics assets within the HR & Corporate Functions domains.

Required Qualifications

• Bachelor’s Degree

• 7+ years of experience in data warehousing

• 7+ years of experience in data modeling and data transformation

Preferred Qualifications

• Bachelor’s Degree (MS/MA/MIS)

• Advanced SQL skills.

• Experience working in a fast-paced environment.

• Experience in the Human Resources field with a specific focus on People Data & People Data Engineering, Human Resources Reporting, and Workforce Analytics is required.

• Familiarity with data table operations (SQL, MS Fabric, Data Warehouse, Stored Procedures…etc.)

• Analytical and problem-solving skills, experience interpreting workforce plans and forecasts.

• Experience with data models development, data optimization, and tools.

• Experience with Finance, HR, and Recruiting processes.

• Experience working with engineering/technology teams.

• Experience in headcount management, people operations, recruiting, or HR.

• Experience in Snowflake, Azure, MS Fabric, or similar data warehouse technologies.

• Knowledge of Workday or other workforce planning technologies.

• Experience in developing workforce demand model or optimization models based on key inputs.

• Experience communicating complex ideas consistently and clearly.

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Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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