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Data Optimisation Jobs in Wisconsin (NOW HIRING)

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

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 ...

Data Engineer

Madison, WI · On-site +1

$115K - $138K/yr

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

$75 - $95/hr

Data Analysis and Optimization:** Conducts real-time data analysis using SCADA systems to facilitate informed decision-making and manage complex processes.* **Collaboration:** Techs collaboration ...

Data Engineer

Madison, WI · On-site

$90 - $140/hr

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

WI · On-site

$110 - $150/hr

Strong experience building and maintaining large‑scale data pipelines and optimizing complex queries across big datasets. Hands‑on Data Engineering, ETL/ELT pipelines, data ingestion ...

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our ... optimization analytics, Financial Advisor Network Analytics and product bundling analytics. Some of ...

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our ... optimization analytics, Financial Advisor Network Analytics and product bundling analytics. Some of ...

Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data. Basic Qualifications * B.S. degree in computer science ...

Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data. Basic Qualifications * B.S. degree in computer science ...

Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data. Basic Qualifications * B.S. degree in computer science ...

WI · On-site

$140 - $190/hr

The Manager, Data Engineering leads the Data Engineering function responsible for designing, building, maintaining, and optimizing enterprise data models, pipelines, and integrations that support ...

WI · On-site

$119 - $159/hr

NTT DATA Services NTT DATA strives to hire exceptional, innovative and passionate individuals who ... Collaborate with business units to ensure visualization standards and performance optimization.

WI · On-site

$120 - $150/hr

Strong experience building and maintaining large-scale data pipelines and optimizing complex queries across big datasets. * Hands-on Data Engineering, ETL/ELT pipelines, data ingestion ...

Guide clients on optimizing their data environments to work most effectively and efficiently for them. * Develop a data model around stated use cases to capture client's KPIs and data transformations.

Data Engineer

West Bend, WI · Hybrid

$115K - $139K/yr

Maintain engineering best practices around CI/CD, unit testing, performance testing and optimization. * Partner directly with the Data Architecture team to ensure the quality and consistency of the ...

Data Engineer II

Milwaukee, WI · On-site

$112K - $135K/yr

Support Snowflake performance and cost optimization through warehouse sizing, concurrency patterns ... Experience with data integration frameworks and orchestration tools. * Working knowledge of ...

Data Engineer

West Bend, WI · On-site

$115K - $139K/yr

Maintain engineering best practices around CI/CD, unit testing, performance testing and optimization. * Partner directly with the Data Architecture team to ensure the quality and consistency of the ...

Data Engineer

West Bend, WI · Hybrid

$111K - $134K/yr

Maintain engineering best practices around CI/CD, unit testing, performance testing and optimization. * Partner directly with the Data Architecture team to ensure the quality and consistency of the ...

Showing results 21-40

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.

Data Engineer

Rural Mutual Insurance

Milwaukee, WI • On-site, Remote

$112K - $135K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Description
Rural Mutual Insurance is looking for an experienced and motivated data professional to play a critical role in the design, development, and maintenance of the company's data warehouse and related data marts. 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 initiatives. The ideal candidate will have a deep understanding of data engineering and data modeling principles, with a proven track record of designing, implementing, and maintaining robust and scalable data pipelines and data models on cloud technologies.
This is a remote position with periodic on-site presence required. Candidates must live and work in Wisconsin and have eligibility to work in the United States without sponsorship.
If you're ready to be part of a team that values your expertise and encourages your professional growth, apply today!
Rural Mutual, a leading property and casualty insurance company based in Wisconsin, is well known for its financial strength and longevity in the insurance industry. Our reputation in the marketplace ensures stability and opens up numerous growth opportunities for our employees. Committed to our employees and their families, we offer a suite of benefits promoting health and wellness. We prioritize work-life balance, offering flexible start times as well as summer hours for this role. Join our experienced and talented team of IT professionals dedicated to excellence, innovation, and collaboration.
Responsibilities
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Qualifications
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