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Data Jobs in Whitewater, WI (NOW HIRING)

Enterprise Data Architect Primary Purpose * Responsiblefor designing and architecting data/MDM solutions, analyzing,implementing, and deploying these solutions both on-premises and in thecloud. By ...

Data Analyst II

Waukesha, WI ยท On-site

$21.60/hr

Data Analyst II Waukesha, WI, USA, 53188 $21.60/hr on w2 12/12/2016 to 06/16/2017 Global Services role supporting data analysis on trapped parts within the GEHC network. The primary goal of this will ...

In this role, you will play a crucial role in grocery stores nationwide, utilizing cutting-edge smartphone technology to capture and store essential data for our clients. Are you ready to shape the ...

Showing results 21-40

Data information

See Whitewater, WI salary details

$45.3K

$162.6K

$239.9K

How much do data jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data in Whitewater, WI is $162,597.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $167,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

Is it hard to get a data job?

Getting a data job can be competitive, as it often requires strong skills in data analysis, programming, and tools like SQL or Python. Relevant experience, certifications, and a solid portfolio can improve chances of securing a position in this field.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What job categories do people searching Data jobs in Whitewater, WI look for? The top searched job categories for Data jobs in Whitewater, WI are:
What cities near Whitewater, WI are hiring for Data jobs? Cities near Whitewater, WI with the most Data job openings:
Infographic showing various Data job openings in Whitewater, WI as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $162,597 per year, or $78.2 per hour.

Enterprise Data Architect

Koantek

Waukesha, WI โ€ข On-site

Contractor

Re-posted 18 days ago


Job description


Enterprise Data Architect
Primary Purpose
  • Responsiblefor designing and architecting data/MDM solutions, analyzing,implementing, and deploying these solutions both on-premises and in thecloud. By collaborating with diverse business teams and utilizingextensive knowledge of big data tools and products, creates scalable,flexible, and comprehensive data solutions that tackle complex businesschallenges.

Major Responsibilities
  • Managethe technical delivery of medium to large, moderately complex projectson-time with targeted zero defects.
  • Provideplanning, estimation, scheduling, prioritization and coordination oftechnical activities related to Enterprise-wide data solutions on bothcloud and on premises.
  • Ensuresolutions alignment to Enterprise Architecture policies and bestpractices; ensure that process methodologies are followed in development.
  • Accountableto business and technology management for end-to-end application scoping,planning, development and delivery that meets and exceeds qualitystandards.
  • Identifyand manage dependencies and downstream impacts of the project to minimizeadverse effects on other projects and / or programs.
  • AssistProject manager with the estimation of technical timelines and allocationof the technical resources to specific task.
  • CommunicateExpectations, Roles and Responsibilities to team members and hold themaccountable to meet the expectations.
  • Collaboratewith IT partners to devise capacity plan and ensure appropriateinfrastructure for the end-to-end system delivery.
  • Supervisecontingent workers and their daily tasks including onshore and offshorestaff.
  • Identifyvaluable data sources and automate collection processes.
  • Maintaindata accuracy and timeliness, a critical highly visible aspect of theposition as it impacts supply chain and sales effectiveness, financialperformance of the business, and customer perception through on-timedelivery, working capital, financial reporting accuracy and productquality.
  • Architectand design master data to drive towards "Single source of the truth".
  • Regularlymonitor and measure performance of MDM standards.
  • Performsproblem and trend analyses to identify and correct problems and increasedata quality.
  • Review/ Approve execution of data changes.
  • Trackand report through the CAB review board.
  • DevelopSLA's and ensure they are met.
  • Drivedata mapping workshops for migrations.
  • Coordinateand participate in the ETL (extract, transform, load) process for anymigrations.
  • Planand architect M&A initiatives and integrations