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Economic Data Analyst Jobs in Wisconsin (NOW HIRING)

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 ...

Sr. Data Analyst

Waukesha, WI · On-site +1

$86K - $108K/yr

The Senior Data Analyst is a strategic and technical role within Information Technology responsible ... religion, ability, socio-economic background, or job type. Effective interpersonal and ...

Sr. Data Analyst

Waukesha, WI · On-site

$86K - $108K/yr

The Senior Data Analyst designs and develops enterprise reporting solutions, dashboards, data ... economic background, or job type. • Effective interpersonal and communication skills with the ...

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Econometrics, Physics, Biostatistics or related Quantitative disciplines and 1 or more years of ...

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... Econometrics, Physics, Biostatistics or related Quantitative disciplines and 1 or more years of ...

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Showing results 1-20

Economic Data Analyst information

See Wisconsin salary details

$31.3K

$73.9K

$131.2K

How much do economic data analyst jobs pay per year?

As of Jul 31, 2026, the average yearly pay for economic data analyst in Wisconsin is $73,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $87,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Economic Data Analyst position, and why are they important?

To thrive as an Economic Data Analyst, you need strong analytical abilities, a background in economics or statistics, and proficiency with quantitative research methods. Familiarity with data analysis software such as Excel, R, SAS, Python, and visualization tools like Tableau or Power BI is typically expected. Critical thinking, attention to detail, and effective communication skills help analysts interpret findings and explain insights to non-technical audiences. These skills and qualities ensure accurate data interpretation, valuable business recommendations, and successful collaboration across teams.

What does an Economic Data Analyst do?

An Economic Data Analyst collects, processes, and interprets economic data to help organizations make informed decisions. They analyze trends, create reports, and use statistical tools to assess economic conditions. Their work supports policymakers, businesses, and researchers in understanding market dynamics and financial risks. Proficiency in data analysis software, economics, and statistical methods is essential for this role.

What are some typical projects or daily responsibilities for an Economic Data Analyst?

As an Economic Data Analyst, your typical day might involve gathering and cleaning economic data, conducting statistical analyses, creating visual reports, and presenting your findings to stakeholders. You'll often work with large datasets, identify trends or anomalies, and help interpret how economic conditions impact the business. Collaboration with economists, policy experts, or business managers is common, especially when developing forecasts or providing input for strategic decisions. This variety of tasks provides valuable experience and opportunities for skill development while contributing meaningful insights to your organization.

What are the most commonly searched types of Economic Data Analyst jobs in Wisconsin? The most popular types of Economic Data Analyst jobs in Wisconsin are:
What job categories do people searching Economic Data Analyst jobs in Wisconsin look for? The top searched job categories for Economic Data Analyst jobs in Wisconsin are:
Infographic showing various Economic Data Analyst job openings in Wisconsin as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $73,946 per year, or $35.6 per hour.

Principal Data Analyst

Continuus Technologies LLC

Germantown, WI • On-site

Full-time

Re-posted 22 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