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Data Optimisation Jobs in Wisconsin (NOW HIRING)

WI · On-site

$100 - $135/hr

As a Senior Site Performance & Data Optimization Analyst at Whirlpool, you will lead website visitor journey optimization on KitchenAid EMEA sites. You will use Contentsquare and GA4 to identify ...

This role develops mathematical optimization, machine learning, and AI solutions, and contributes to the data pipelines that feed them - to support cost reduction, manufacturing efficiency, and ...

This role develops mathematical optimization, machine learning, and AI solutions, and contributes to the data pipelines that feed them - to support cost reduction, manufacturing efficiency, and ...

WI · On-site

$140 - $220/hr

Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG. * Utilize advanced statistical techniques and data science ...

WI · On-site

$81 - $110/hr

This constitutes optimization of dynamical systems (batteries and other flexible assets) under ... Experience in statistical or mathematical modelling and data analysis. * Experience with Python is ...

Data Architect

Racine, WI · On-site

$67/hr

Ensure optimal performance, scalability, and usability of BI platforms. * Architect robust ETL/ELT frameworks and data integration solutions. * Design scalable data pipelines supporting batch and ...

WI · On-site

$109.40 - $145.80/hr

Support customer and partner data infrastructure needs by troubleshooting technical issues and optimizing data environments. * Contribute to the continuous improvement of data management standards ...

Translate complex business problems into predictive, prescriptive, optimization, and decision models that can be implemented, validated, and automated. Work with IT partners and Data Engineers to ...

Translate complex business problems into predictive, prescriptive, optimization, and decision models that can be implemented, validated, and automated. Work with IT partners and Data Engineers to ...

Translate complex business problems into predictive, prescriptive, optimization, and decision models that can be implemented, validated, and automated. Work with IT partners and Data Engineers to ...

Data Engineer

Milwaukee, WI · On-site

$90 - $120/hr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

WI · On-site

$120 - $180/hr

PySpark * DevOps for Data ATS Optimization Keywords Hard Skills * Data Platform Development * Batch and Streaming Data Ingestion * Data Transformation Workflows * SQL * Spark SQL * Delta Lake * Data ...

WI · On-site

$140 - $220/hr

Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming * Work on the latest applications of data science to solve business problems in the Supply ...

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

... and Optimization of ETL Jobs and SQLA queries in ad-hoc and complex report environments ... Data Warehousing applications using ETL tool IBM Infosphere Information server DataStage, SQL and ...

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Data Optimisation information

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

What are the key skills and qualifications needed to thrive as a data optimisation specialist?

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What are the most common challenges faced in a data optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

What are data optimisation jobs?

Data optimisation jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and operational performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, with a focus on enhancing data accuracy and accessibility.

What are popular job titles related to Data Optimisation jobs in Wisconsin?

For Data Optimisation jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Optimisation jobs in Wisconsin look for?

The top searched job categories for Data Optimisation jobs in Wisconsin are:

Infographic showing various Data Optimisation job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Grimbergen, Belgium On-site Whirlpool Senior Site Performance & Data Optimization Analyst

Experimentation Jobs

WI • On-site

$100 - $135/hr

Other

Posted 4 days ago


Job description

Why Here?
Whirlpool Corporation 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 drives meaningful innovation through its iconic brand portfolio. This role sits within the KitchenAid Data Team, part of the Digital Marketing team that develops strategies to promote products through digital channels and analyzes their effectiveness.

What Will You Do?
As a Senior Site Performance & Data Optimization Analyst at Whirlpool, you will lead website visitor journey optimization on KitchenAid EMEA sites. You will use Contentsquare and GA4 to identify friction points and build quarterly optimization roadmaps with defined KPIs. Additionally, you will own the performance optimization of the SEA track by reviewing Google Ads campaigns weekly and collaborating with the e-commerce team to maximize ROI. You will also support core data projects including dashboard maintenance, traffic tracking improvements, and user identification strategies.

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