ZipRecruiter

Log In

1

Data Analyst Mid Level Jobs in Wisconsin (NOW HIRING)

Generac

Data Science Analyst

Waukesha, WI · On-site

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 ...

PUBG Madglory

Mid-Level/Senior Animator

Madison, WI · On-site +1

$106K - $121K/yr

Qualifications: * 3+ years' experience for mid-level/5+ years' experience for senior level in game ... Experience utilizing and cleaning motion capture data. * Understanding of rigging and technical ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... Job Level: Non-Management Exempt Workshift: Job Family: RDA > Data Science Please be advised that ...

HUB

Cross-Sell Data Analyst, Dynamics 365

Waukesha, WI · On-site

$80K - $110K/yr

Cross-Sell Data Analyst The cross-sell data analyst is responsible for identifying cross-sell ... and level. HUB International is proud to offer comprehensive benefit and total compensation ...

Northstrat

WI · On-site

Document and analyze test results, produce status reports, and assist with the defect management process. * Ability to perform requirement analysis and work independently to create test products ...

previous pagenext page

Showing results 21-40

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 10, 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
Infographic showing various Data Analyst Mid Level job openings in Wisconsin as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $83,413 per year, or $40.1 per hour.

Staff Data Engineer

Continuus Technologies LLC

Germantown, WI • On-site

$116K - $139K/yr

Full-time

Re-posted 2 days ago

Job description

Role OverviewThe Staff Data Engineer is a senior technical leader responsible for designing, scaling, and governing the organization's data platform and pipelines. This role sets data engineering standards, drives architectural decisions, and mentors engineers while partnering closely with analytics, product, and business leaders to enable reliable, high-impact data solutions.Key ResponsibilitiesArchitect and own scalable, resilient data pipelines and platformsLead design decisions for data ingestion, transformation, and storageEstablish best practices for data modeling, testing, observability, and reliabilityDrive data quality, lineage, and governance frameworksServe as a technical mentor for junior and mid-level data engineersPartner with analytics, product, and business stakeholders to translate needs into data solutionsEvaluate and implement modern data tools and cloud technologiesLead incident response, root cause analysis, and long-term remediationContribute to roadmap planning and long-term data strategyQualificationsBachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)7+ years of experience in data engineering or related rolesAdvanced SQL and strong proficiency in Python (or similar language)Deep experience with data warehousing and data modelingProven experience designing production-grade ETL/ELT pipelinesStrong understanding of distributed systems and data architecturePreferred ExperienceCloud data platforms (AWS, Azure, or GCP)Orchestration and transformation tools (Airflow, dbt, Spark, Kafka, etc.)Data observability, monitoring, and reliability toolingExperience supporting analytics, BI, ML, or product data use casesPrior experience influencing technical strategy without direct authority