1

Executive Data Analyst Jobs in Wisconsin (NOW HIRING)

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 ...

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 ...

QUALITY DATA ANALYST LOCATION: Remote (WI or MN based candidates preferred) REPORTS TO: Quality ... Own recurring reporting for leadership, operations, procurement, finance, and executive review.

QUALITY DATA ANALYST LOCATION: Remote (WI or MN based candidates preferred) REPORTS TO: Quality ... Own recurring reporting for leadership, operations, procurement, finance, and executive review.

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... Build and enhance interactive dashboards and executive tools that translate complex data into ...

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Build and enhance interactive dashboards and executive tools that translate complex data into ...

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

next page

Showing results 1-20

Executive Data Analyst information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

How much do executive data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for executive data analyst 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 is an executive data analyst?

Executive Data Analysts are highly skilled professionals who collect, analyze, and interpret complex data to support strategic decision-making at the executive level. They transform raw data into actionable insights, often preparing reports and presentations for senior leadership. Their work helps organizations identify trends, forecast outcomes, and make data-driven decisions that align with business goals. Executive Data Analysts typically have strong analytical, technical, and communication skills, and frequently collaborate with executives, managers, and other stakeholders.

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

To thrive as an Executive Data Analyst, you need expertise in data analysis, statistical modeling, and business intelligence, often supported by a bachelor's or master's degree in a quantitative field. Proficiency with tools like SQL, Python, R, and advanced data visualization platforms such as Tableau or Power BI is typically required, along with relevant certifications. Strong communication, critical thinking, and presentation skills help you translate complex data insights for executive decision-makers. These skills are crucial for driving strategic initiatives and enabling data-driven decision-making at the highest organizational levels.

What is the difference between Executive Data Analyst vs Data Scientist?

AspectExecutive Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, business, or related field; often certifications in data toolsBachelor's or master's in data science, statistics, or related; often advanced certifications
Work EnvironmentCorporate offices, business units, analytics teamsResearch labs, tech companies, analytics teams
Employer & Industry UsageBusiness, finance, marketing, healthcareTech, finance, e-commerce, research
Common Search & ComparisonYesYes

Executive Data Analysts focus on interpreting data to support business decisions, often with a managerial perspective. Data Scientists develop complex models and algorithms for predictive analytics. While both roles require strong analytical skills and familiarity with data tools, Data Scientists typically have more advanced technical expertise and education. The roles overlap in data analysis but differ in scope and technical depth.

What are some common challenges executive data analysts face when presenting insights to senior leadership?

Executive Data Analysts often encounter the challenge of translating complex data findings into clear, actionable insights for senior leadership. Communicating technical results in a concise and strategic manner, tailored to high-level business goals, requires strong storytelling and visualization skills. Additionally, balancing the need for data accuracy with tight deadlines and shifting priorities can be demanding. Collaborating closely with cross-functional teams, such as finance and operations, is essential to ensure recommendations are aligned with organizational objectives.
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 cities in Wisconsin are hiring for Executive Data Analyst jobs? Cities in Wisconsin with the most Executive Data Analyst job openings:
Infographic showing various Executive Data Analyst job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $83,413 per year, or $40.1 per hour.

Principal Data Analyst

Continuus Technologies LLC

Germantown, WI • On-site

Full-time

Re-posted 2 days ago


Job description

Role OverviewThe 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 ResponsibilitiesLead enterprise-level, high-impact analyses that inform strategic decisionsDefine and govern company-wide KPIs, metrics, and analytical frameworksTranslate ambiguous, complex business problems into structured analytical approachesInfluence executive decision-making through clear, compelling data storytellingPartner with senior leadership to shape analytics strategy and prioritiesSet standards for analytical rigor, experimentation, and data interpretationMentor Staff and Senior Analysts and elevate analytical excellence across teamsDrive improvements in data quality, metric consistency, and governanceIdentify emerging trends, risks, and opportunities proactivelyQualificationsBachelor's degree in Data Analytics, Statistics, Economics, Business, or related field (or equivalent experience)10+ years of experience in analytics or data-focused rolesExpert-level SQL and advanced analytical modeling skillsExtensive experience with BI and visualization platforms (Tableau, Power BI, Looker, etc.)Strong statistical reasoning and business acumenProven ability to influence executive stakeholders through insightsPreferred ExperienceAdvanced proficiency in Python or R for analysisExperience designing experimentation or causal analysis frameworksFamiliarity with data engineering and modern data architecturesDomain expertise (e.g., product, finance, HR, operations, growth analytics)Experience shaping analytics strategy without direct people management