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Data Analytics Jobs in Wisconsin (NOW HIRING)

Continuus Technologies LLC

Senior Data Analyst

Germantown, WI · On-site

$87K - $110K/yr

Bachelor's degree in Data Analytics, Statistics, Economics, Business, or related field (or equivalent experience) * 5+ years of experience in analytics or data-focused roles * Advanced SQL and strong ...

Generac

Senior Platform & Analytics Analyst

Waukesha, WI

$86K - $108K/yr

The Senior Analytics and Platform Analyst will play an important role in driving data-driven decision-making and digital enablement across the organization. You are responsible for delivering ...

Baird

Commissions Data Analyst

Milwaukee, WI · On-site

Bachelor's degree in finance, Accounting, Business, Data Analytics, or a related field or equivalent combination of education and experience * Experience in financial services operations or 3+ years ...

htna

Master Data Analyst

Milwaukee, WI

Reporting & Analytics Enablement * Partner with reporting and analytics teams to ensure master data is fit-for-purpose for ERP reporting and BI solutions. * Support the design of master data ...

Serve Robotics

$211K - $246K/yr

Lead, mentor, and grow a team of data and analytics engineers. This includes hiring, performance management, career development, planning, and setting technical standards. * Technical Leadership:

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All JobsData Analytics JobsData Analytics Jobs in Wisconsin

Data Analytics information

See Wisconsin salary details

$24

$55

$95

How much do data analytics jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data analytics in Wisconsin is $55.26, according to ZipRecruiter salary data. Most workers in this role earn between $44.42 and $62.60 per hour, depending on experience, location, and employer.

What job do you get with data analytics?

A career in data analytics can lead to roles such as Data Analyst, Business Analyst, Data Scientist, or Data Engineer. These positions involve analyzing data to support decision-making, often requiring skills in statistical tools, programming languages like Python or R, and data visualization software. Certifications like Certified Analytics Professional (CAP) can enhance job prospects.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst evolves with technology, requiring skills in programming, statistical analysis, and understanding AI capabilities, rather than being fully replaced by AI.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the job of data analytics?

The job of data analytics involves examining large datasets to identify patterns, trends, and insights that support decision-making. Data analysts use tools like Excel, SQL, and visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and knowledge of statistical methods are essential for this role.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a Data Analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Wisconsin? The most popular types of Data Analytics jobs in Wisconsin are:
What are popular job titles related to Data Analytics jobs in Wisconsin? For Data Analytics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Wisconsin look for? The top searched job categories for Data Analytics jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Analytics jobs? Cities in Wisconsin with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Wisconsin as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $114,938 per year, or $55.3 per hour.
Senior Data Analyst

Senior Data Analyst

Continuus Technologies LLC

Germantown, WI • On-site

$87K - $110K/yr

Full-time

Posted 2 days ago

Job description

Role Overview

The Senior Data Analyst is a trusted analytical partner who leads complex analyses, develops insights that influence decision-making, and mentors junior analysts. This role bridges data and business strategy by translating questions into actionable insights and establishing analytical best practices.

Key Responsibilities

  • Lead complex analyses to support strategic and operational decisions

  • Develop and maintain dashboards, reports, and analytical models

  • Identify trends, risks, and opportunities using quantitative and qualitative data

  • Define and standardize KPIs, metrics, and reporting frameworks

  • Partner with business leaders to frame problems and recommend solutions

  • Review and improve analytical work for accuracy and clarity

  • Mentor junior analysts and support skill development

  • Improve data quality, documentation, and analytical processes

Qualifications

  • Bachelor's degree in Data Analytics, Statistics, Economics, Business, or related field (or equivalent experience)

  • 5+ years of experience in analytics or data-focused roles

  • Advanced SQL and strong proficiency in Excel or similar tools

  • Experience with BI and data visualization platforms (Tableau, Power BI, Looker, etc.)

  • Strong analytical reasoning and problem-solving skills

  • Ability to clearly communicate insights to technical and non-technical audiences

Preferred Experience

  • Experience with Python or R for analysis

  • Knowledge of statistical methods and experimentation

  • Familiarity with data modeling or data engineering concepts

  • Domain expertise (e.g., finance, HR, operations, product analytics)