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Junior Data Analyst Jobs in Racine, WI (NOW HIRING)

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 ...

Create data model processes, conduct analysis, and report results across all operations and clients. * Create ad-hoc reports in a timely manner to assist the leadership team in discovering ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting solutions to drive sound business decision-making. This position requires deep expertise in Power BI, data ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Manufacturing Data Analyst Employment Status: Full-Time, Salaried/Exempt Location: Waukegan, IL Schedule: Onsite daily Monday through Friday from 8 am - 5 pm CT. Salary: $75,000 - $95,000 Position ...

Manufacturing Data Analyst Employment Status: Full-Time, Salaried/Exempt Location: Waukegan, IL Schedule: Onsite daily Monday through Friday from 8 am - 5 pm CT. Salary: $75,000 - $95,000 Position ...

Lead exploratory data analysis to cull actionable insights * Collaborate with stakeholders to ... Mentor and guide junior data scientists, providing technical expertise and fostering a culture of ...

Senior Data Analyst

Milwaukee, WI · Hybrid

$84K - $106K/yr

Title : Sr Data Analyst Location : Milwaukee, WI Type : Hybrid (3 days onsite per week) Duration : ASAP - May 2025 Perks : Competitive Rates, Benefits, Free Daily Lunch When Onsite Role Summary This ...

Analyze and transform data to support operational business needs * Partner with internal stakeholders to gather requirements and identify solutions * Work with ETL tools to intake, validate ...

New

PLM Data Analyst Location: Onsite Critical in Racine, WI Duration: 6 Months Hours: Flexibility within core business hours of 9-3 SUMMARY Role is "more critical thinking as data detective on one piece ...

Business Data Analyst

Milwaukee, WI · On-site

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance organization. * Translate business needs into clear functional specifications, source-to-target ...

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Junior Data Analyst information

See Racine, WI salary details

$32.4K

$74.4K

$119.6K

How much do junior data analyst jobs pay per year?

As of Jul 24, 2026, the average yearly pay for junior data analyst in Racine, WI is $74,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,400.00 and $76,400.00 per year, depending on experience, location, and employer.

What are Junior Data Analysts?

Junior Data Analysts are entry-level professionals who collect, process, and perform basic analysis on data to help organizations make informed decisions. They typically work under the supervision of senior analysts, assisting with data cleaning, creating reports, and visualizing findings. Their responsibilities often include using tools like Excel, SQL, and data visualization software to interpret data trends and support business objectives. This role is ideal for individuals looking to start a career in data analytics and usually requires strong analytical skills and attention to detail.

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

AspectJunior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related fields; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related fields; advanced programming and statistical skills
Work EnvironmentEntry-level position in data teams; supports data collection, cleaning, and reportingAdvanced role involving complex data modeling, machine learning, and predictive analytics
Employer & Industry UsageCommon in finance, marketing, healthcare, and retail sectorsTypically found in tech, finance, and research-intensive industries

The main difference between a Junior Data Analyst and a Data Scientist lies in their experience, skill level, and responsibilities. Junior Data Analysts focus on data cleaning, basic analysis, and reporting, while Data Scientists handle complex modeling, machine learning, and predictive analytics. Both roles are essential in data-driven organizations, but they require different skill sets and experience levels.

What do junior data analysts do?

Junior data analysts collect, organize, and analyze data to help organizations make informed decisions. They often use tools like Excel, SQL, or data visualization software and support senior analysts by preparing reports and identifying trends. This role typically requires strong analytical skills and attention to detail, with opportunities for skill development and learning on the job.

Is 40 too late for data science?

A Junior Data Analyst role typically requires foundational skills in data analysis, programming, and tools like Excel, SQL, or Python. Age is not a barrier; many professionals transition into data roles later in their careers by gaining relevant certifications and experience.

What are some common challenges faced by Junior Data Analysts when working with large datasets, and how can they effectively overcome them?

Junior Data Analysts often encounter challenges such as data inconsistency, missing values, and handling large volumes of information when working with big datasets. To address these issues, it's important to develop strong data cleaning and preprocessing skills, use efficient data analysis tools like SQL and Python, and regularly collaborate with more experienced team members for guidance. Additionally, documenting your data processing steps and validating results with stakeholders can help ensure accuracy and build confidence in your analyses.

Can I be a data analyst with no experience?

Junior data analyst roles often require some familiarity with data analysis tools like Excel, SQL, or Python, but many employers are open to candidates with little to no professional experience if they demonstrate strong analytical skills and a willingness to learn. Entry-level positions may also provide on-the-job training or require relevant coursework or certifications. Building a portfolio of projects or completing online courses can improve your chances of starting a career as a data analyst without prior experience.

What are the key skills and qualifications needed to thrive as a Junior Data Analyst, and why are they important?

A Junior Data Analyst needs a solid grounding in statistics, data interpretation, and familiarity with data management, usually supported by a bachelor’s degree in a quantitative field. Competence in Excel, SQL, and data visualization tools like Tableau or Power BI, as well as basic programming in Python or R, is often required. Attention to detail, problem-solving abilities, and strong communication skills help analysts effectively interpret data and present insights. These skills are crucial for accurately analyzing data, informing business decisions, and contributing value to teams and organizations.

What Does a Junior Data Analyst Do?

Junior data analysts work with a team of data analysts to translate data for businesses or government agencies. Data analysts work in many industries, including finance, accounting, health care, pharmaceuticals, technology, and in government agencies. They use algorithms and other tools to help an organization understand different aspects of this data, such as costs, market research, or sales numbers, which will enable them to make better business decisions for the future. A junior data analyst is an entry-level position and will involve seeking and collecting relevant data, as well as documenting the information be processed. Job duties include gathering data, interpreting the statistics, writing reports, and designing charts and graphs.

What is the salary for junior data analysts?

The salary for a junior data analyst typically ranges from $50,000 to $70,000 annually, depending on location, industry, and experience. Entry-level roles often require proficiency in tools like Excel, SQL, and basic data visualization software.
What are the most commonly searched types of Data Analyst jobs in Racine, WI? The most popular types of Data Analyst jobs in Racine, WI are:
What job categories do people searching Junior Data Analyst jobs in Racine, WI look for? The top searched job categories for Junior Data Analyst jobs in Racine, WI are:
What cities near Racine, WI are hiring for Junior Data Analyst jobs? Cities near Racine, WI with the most Junior Data Analyst job openings:
Infographic showing various Junior Data Analyst job openings in Racine, WI as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $74,406 per year, or $35.8 per hour.
Data Analyst

Data Analyst

Newance

Brookfield, WI • On-site

Full-time

Posted 19 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.