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Data Analyst Mid Level Jobs in Wisconsin (NOW HIRING)

Newance

Data Analyst

Brookfield, WI · On-site

The analyst will act as the data and process subject matter expert for these business lines, helping ensure our asset-level and portfolio-level data is complete, clean, and ready for faster reporting ...

MLG Capital

Data Analyst

Brookfield, WI · On-site

The analyst will act as the data and process subject matter expert for these business lines, helping ensure our asset-level and portfolio-level data is complete, clean, and ready for faster reporting ...

MLG Capital

Data Analyst

Brookfield, WI · On-site

The analyst will act as the data and process subject matter expert for these business lines, helping ensure our asset-level and portfolio-level data is complete, clean, and ready for faster reporting ...

TTM Technologies

Data Analyst

Chippewa Falls, WI · On-site

Additional information can be found at www.ttm.com TTM Technologies is seeking a Data Analyst with ... set and level of experience. As required by local law, TTM provides a reasonable range of ...

Ttmtech

Data Analyst

Chippewa Falls, WI · On-site

Additional information can be found at www.ttm.com TTM Technologies is seeking a Data Analyst with ... set and level of experience. As required by local law, TTM provides a reasonable range of ...

AFRY

Mid-Level Structural Engineer

Appleton, WI · On-site

Visits to project sites to collect data and to observe construction progress. Qualifications ... Strong organizational, analytical and time management skills with high level of attention to detail ...

AFRY

Mid-Level Structural Engineer

Appleton, WI

Visits to project sites to collect data and to observe construction progress. Qualifications ... Strong organizational, analytical and time management skills with high level of attention to detail ...

AFRY

Mid-Level Structural Engineer

Appleton, WI

Visits to project sites to collect data and to observe construction progress. Qualifications ... Strong organizational, analytical and time management skills with high level of attention to detail ...

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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 Jul 13, 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.

Is 40 too late for data science?

For a mid-level data analyst, starting a career in data science at age 40 is feasible, especially if you have relevant skills in programming, statistics, and tools like Python or R. Many professionals successfully transition into data roles later in life by gaining certifications, building portfolios, and leveraging prior experience. Age is less a barrier than skills, continuous learning, and practical experience in the field.

What is a mid-level analyst?

A mid-level data analyst is a professional with several years of experience who analyzes data to identify trends, create reports, and support decision-making. They typically have proficiency in tools like Excel, SQL, and data visualization software, and may work under the supervision of senior analysts or managers.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role of a mid-level data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are less likely to be fully replaced by AI in the near term.

What jobs make $1,000,000 a year?

In the field of data analysis, earning $1,000,000 annually is uncommon and typically requires senior roles such as Chief Data Officer or data-focused executive positions, often combined with bonuses, stock options, or profit sharing. High earnings in this field usually involve extensive experience, advanced skills in analytics tools, and leadership responsibilities within large organizations or consulting firms.

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
Data Analyst

Data Analyst

Newance

Brookfield, WI • On-site

Full-time

Re-posted 8 days ago

Job description

About MLG Capital
MLG Capital is a private real estate investment manager focused on delivering long‑term, tax‑efficient, risk‑adjusted returns through diversified real estate strategies across the United States. As our platform continues to scale nationally, we are strengthening our data and reporting capabilities to drive operational efficiency, improve decision‑making, and reduce the time required to produce core business insights.
This is MLG's first-ever Data Analyst hire, supporting the modernization of reporting, analytics, and data operations across the firm.
Role Overview
This position will serve multiple business lines, working closely with Asset Management, Portfolio Management, Acquisitions teams and more over time, to ensure that data-driven efficiencies are introduced wherever they are most needed. By collaborating across these areas, the Data Analyst will help deliver timely, accurate insights and empower each team to make more informed decisions and achieve their goals with greater speed, while working with the Data Engineering team and BI team to continue to deliver automated and scalable solutions.
The analyst will act as the data and process subject matter expert for these business lines, helping ensure our asset-level and portfolio-level data is complete, clean, and ready for faster reporting with reduced manual effort.
Key Responsibilities
Core Business Support
    • Act as the subject matter expert for data, workflows, KPIs, and reporting logic across Asset Management, Portfolio Management, Fund Accounting/Tax, and Acquisitions.
    • Proactively engage business stakeholders-including senior leadership-to gather, document, and align reporting requirements, data sources, and field definitions with organizational goals.
    • Partner with BI Developers and Data Engineering to deliver scalable, automated reporting solutions, resolve data gaps, and improve pipeline robustness.
  • Reporting and Data Management
    • Maintain and refresh recurring weekly, monthly, and quarterly reports, dashboards, and Excel/BI outputs for business consumption.
    • Clean, transform, and standardize data, ensuring quality through QA, reconciliation, exception detection, and report testing.
    • Implement data quality frameworks, validation rules, and monitoring processes to ensure analytics outputs are accurate, reliable, and consistent.
  • Process Improvement and Collaboration
    • Establish and manage structured project workflows, cross-functional collaboration, and effective communication across assigned initiatives.
    • Continuously review and enhance reporting workflows, data intake, and operational procedures to identify and eliminate inefficiencies and bottlenecks.
    • Map and recommend improvements for current- and future-state workflows to increase scalability, reduce manual effort, and promote operational excellence.
  • Documentation and Change Management
    • Document business logic, field definitions, DDL, KPI formulas, and reporting requirements to support knowledge sharing and process transparency.
    • Support change-management efforts to drive adoption and maintenance of new and enhanced data solutions.
    • Advocate for standardized data practices and collaborate on initiatives to enhance data completeness, accuracy, and auditability.
  • Analytics Advancement
    • Identify gaps in data feeds and scope new sources to advance analytics capabilities.
    • Recommend and implement enhancements that support the firm's strategic goals for data-driven decision-making.

Skills & Qualifications
  • 2-5 years of experience as a Data Analyst or Reporting Analyst; real estate or financial services experience highly recommended.
  • Expert Excel skills and very strong with BI/reporting tools (Power BI preferred).
  • Ability to work with messy or incomplete data and improve it through cleansing and transformation.
  • Understanding of data modeling basics and data process flows.
  • Strong verbal and written communication skills, including translating business needs into data requirements.
  • Process‑oriented mindset with passion for increasing efficiency and reducing manual work.
  • Comfortable working with both business stakeholders and technical teams.

Skills & Qualifications
  • 2-5 years of experience as a Data Analyst or Reporting Analyst; real estate or financial services experience highly recommended.
  • Expert Excel skills and very strong with BI/reporting tools (Power BI preferred).
  • Ability to work with messy or incomplete data and improve it through cleansing and transformation.
  • Understanding of data modeling basics and data process flows.
  • Strong verbal and written communication skills, including translating business needs into data requirements.
  • Process‑oriented mindset with passion for increasing efficiency and reducing manual work.
  • Comfortable working with both business stakeholders and technical teams.
  • Innate curiosity and critical thinking skills; thrives on solving complex problems and enjoys the challenge of unraveling data puzzles to uncover valuable insights.
  • Skilled at bridging the gap between technical and business perspectives, able to communicate effectively across teams and tailor solutions to meet real-world needs.
  • Self-motivated and energized by challenges; approaches obstacles as opportunities for creative solutions and continuous improvement.
  • Team-oriented mindset; values collaboration, celebrates collective wins, and contributes to a positive, high-performance culture.

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