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Data Analyst Mid Level Jobs in Wisconsin (NOW HIRING)

Husch Blackwell LLP

Enterprise Data Analyst

Madison, WI · On-site +1

Use data storytelling to deliver client-facing data presentations and executive-level reports that ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Husch Blackwell Llp

Enterprise Data Analyst

Madison, WI · On-site +1

Use data storytelling to deliver client-facing data presentations and executive-level reports that ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Dentaquest

Workflow Data Analyst

Grafton, WI · On-site

... data that drives claims processing. The Workflow Systems Configuration Analyst I is also ... Intermediate level experience using MSOffice applications, including SharePoint * Excellent oral ...

Generac

Data Science Analyst

Waukesha, WI

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the ... level. * Ability to simplify complex findings to develop unique, practical solutions. * Able to ...

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All JobsData Analyst Mid Level JobsData Analyst Mid Level Jobs in Wisconsin

Data Analyst Mid Level information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

How much do data analyst mid level jobs pay per year?

As of Aug 5, 2026, the average yearly pay for data analyst mid level in Wisconsin is $83,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

What are entry-level data analyst jobs called?

Entry-level data analyst jobs are often called Junior Data Analyst, Data Analyst Intern, or Data Analyst Trainee. These roles typically require basic skills in data visualization, Excel, and SQL, and may involve supporting senior analysts with data collection and reporting tasks.

How much do data analysts mid level make?

Mid-level data analysts typically earn between $60,000 and $85,000 annually, depending on experience, location, and industry. They often have 2-5 years of experience and proficiency in tools like SQL, Excel, and data visualization software.

What does a mid-level data analyst do?

A mid-level data analyst collects, processes, and analyzes data to identify trends and support decision-making. They often use tools like Excel, SQL, and data visualization software, and may be responsible for creating reports and dashboards to communicate findings to stakeholders.

What is the difference between Data Analyst Mid Level vs Data Scientist?

AspectData Analyst Mid LevelData Scientist
Required CredentialsBachelor's degree in data-related field; some certifications (e.g., Microsoft, Tableau)Bachelor's or master's in data science, statistics, or related fields; advanced certifications often preferred
Work EnvironmentBusiness, finance, marketing teams; focus on reporting and data visualizationResearch and development teams; focus on predictive modeling and complex algorithms
Employer & Industry UsageCommon across industries for data reporting rolesMore specialized, often in tech, finance, or healthcare sectors

While both roles involve working with data, Data Analyst Mid Level primarily focuses on analyzing and visualizing data to support business decisions. Data Scientists handle more complex modeling, machine learning, and predictive analytics, often requiring advanced technical skills and education.

What are the most commonly searched types of Data Analyst jobs in Wisconsin? The most popular types of Data Analyst jobs in Wisconsin are:
What are popular job titles related to Data Analyst Mid Level jobs in Wisconsin? For Data Analyst Mid Level jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Analyst Mid Level jobs in Wisconsin look for? The top searched job categories for Data Analyst Mid Level jobs in Wisconsin are:
Data Analyst Mid Level jobs near you

Principal Data Analyst

Continuus Technologies LLC

Germantown, WI • On-site

Full-time

Re-posted 27 days ago

Job description

Role Overview

The Principal Data Analyst is a strategic analytics leader and subject-matter expert who shapes how data is used across the organization. This role leads the most complex, high-impact analyses, defines analytical standards, and partners with executive leadership to influence long-term business strategy. The Principal Data Analyst operates with broad autonomy and serves as a mentor and thought leader across the analytics community.

Key Responsibilities

  • Lead enterprise-level, high-impact analyses that inform strategic decisions

  • Define and govern company-wide KPIs, metrics, and analytical frameworks

  • Translate ambiguous, complex business problems into structured analytical approaches

  • Influence executive decision-making through clear, compelling data storytelling

  • Partner with senior leadership to shape analytics strategy and priorities

  • Set standards for analytical rigor, experimentation, and data interpretation

  • Mentor Staff and Senior Analysts and elevate analytical excellence across teams

  • Drive improvements in data quality, metric consistency, and governance

  • Identify emerging trends, risks, and opportunities proactively

Qualifications

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

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

  • Expert-level SQL and advanced analytical modeling skills

  • Extensive experience with BI and visualization platforms (Tableau, Power BI, Looker, etc.)

  • Strong statistical reasoning and business acumen

  • Proven ability to influence executive stakeholders through insights

Preferred Experience

  • Advanced proficiency in Python or R for analysis

  • Experience designing experimentation or causal analysis frameworks

  • Familiarity with data engineering and modern data architectures

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

  • Experience shaping analytics strategy without direct people management