Whirlpool Corporation (NYSE: WHR) is a leading home appliance company, in constant pursuit of improving life at home. As the only major U.S.-based manufacturer of kitchen and laundry appliances, 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 2024, the company reported approximately $17 billion in annual sales - close to 90% of which were in the Americas - 44,000 employees, and 40 manufacturing and technology research centers. Additional information about the company can be found at WhirlpoolCorp.com.
The team you will be a part of
The Global Information Technology team plays a strategic role in driving technology and digital transformation across the company. The Data and AI team is responsible for designing, delivering, and evolving technology solutions to improve data usage and drive long-term business results.
This role in summary
We are seeking a skilled Analytics Engineer to join our data team and bridge the gap between raw data and business-ready analytics. This role focuses on designing, building, and maintaining analytics-oriented data models and pipelines, ensuring reliable, well-structured data for dashboards, reports, and advanced analysis. The Analytics Engineer works closely with BI teams, data analysts, data scientists, and business stakeholders, transforming data into trusted analytical assets that support decision‑making.
Your responsibilities will include
Designs and builds analytical data models prioritized by D&A (with support from the Analytics Lead and Data Product Owner);
Develops, tests, and maintains transformation logic (SQL/Dataform) across Silver and Gold layers;
Defines, documents, and maintains business KPIs and semantic definitions (single source of truth);
Performs and documents data validation tests (quality checks, reconciliation, metric validation);
Supports Data Product Owners (BI Teams and Data Science Teams) during UAT and metric validation;
Collaborates with Data Engineers to ensure reliable upstream data ingestion and proper modeling grain;
Supports analytical model deployment through pull requests and downstream validation.
Follows Data Architecture, Semantic Layer standards, and Data Governance policies.
Documents analytical models, business rules, and metric logic (Project documentation & Product documentation – KT);
Partners with BI teams to optimize datasets for reporting tools (Lookerstudio, Tableau, etc.);
Optimizes performance of analytical datasets (aggregations, partitioning strategy alignment, cost awareness);
Supports and trains Analytics/BI teams on new datasets, KPI definitions, and semantic models (KT);
Monitors data freshness, metric consistency, and business logic integrity post‑deployment.
Hands‑on experience designing and maintaining analytical data models in BigQuery (Silver/Gold layers)
Strong proficiency in SQL (BigQuery or similar), including joins, window functions, aggregations, CTEs, and performance‑aware query design;
Strong proficiency in SQL for BigQuery
* Window functions
* Aggregations
* Query performance optimization
Solid understanding of Medallion Architecture (Bronze/Silver/Gold)
* Fact and dimension tables
* Surrogate keys
* Basic Slowly Changing Dimensions (SCD) concepts
Experience implementing data quality validations:
* Null checks
* Referential integrity validation
Experience supporting UAT with BI teams and business stakeholders
Working knowledge of Cloud Composer (Airflow) and data dependency orchestration concepts
Understanding of how analytical modeling decisions impact Tableau (or similar BI tools) performance
Proficiency with Git‑based workflows, pull requests, and SQL code reviews
Working knowledge of GCP fundamentals:
* IAM roles
* Service accounts
* Dataset‑level access control
* Basic cost governance awareness
Ability to document transformation logic, KPI definitions, and business rules following enterprise standards
Preferred skills and experiences
Exposure to Dataflow and Pub/Sub, understanding upstream ingestion patterns
Experience working with SAP (ECC, BW, or S/4) or enterprise ERP systems
Experience with Dataform or structured SQL transformation frameworks
Experience optimizing BigQuery performance, including:
* Aggregated tables
Exposure to data governance and metric standardization practices
Experience working in large‑scale enterprise environments
Exposure to data observability concepts (freshness monitoring, reconciliation dashboards)
Experience participating in Knowledge Transfer (KT) activities and supporting sustain teams
Professional working proficiency in English (preferred)
Exposure to GenAI‑assisted development tools for SQL or documentation automation
What we offer
1 day of work from home per week;
Flexible hours
“No dress code”
Gympass
Transportation allowance, bus, or free parking at the company
On‑site meals
Benefits such as payroll deduction or social loan, health insurance, dental insurance, life insurance, and a private pension plan compatible with the market;
Employee Support Program, with 24‑hour assistance from legal, social, financial, and psychological assistants.
Childcare or nursery assistance at the company.
Services available on‑site: beauty salon and aesthetics, an internal bank branch, laundry, a cafeteria, a restaurant, and a breastfeeding room.
Two weeks of remote work from anywhere;
After 5 years with the company, eligible employees can take four weeks of paid leave.
Discount on products through Compra Certa.
Discount on insurance (pet, car, home, bicycle, travel, and others);
Extended maternity/paternity leave.
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 and YouTube.
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.
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