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Data Analyst Jobs in Racine, WI (NOW HIRING)

Develop data models and dashboards * Support forecasting and financial planning * Assist in ... Key Responsibilities 1) Data & Analytics * Develop and maintain dashboards and reports across ...

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Data Analyst information

See Racine, WI salary details

$31.9K

$77.5K

$127.5K

How much do data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data analyst in Racine, WI is $77,473.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $90,900.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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 Data Analyst jobs in Racine, WI look for?

The top searched job categories for Data Analyst jobs in Racine, WI are:

What cities near Racine, WI are hiring for Data Analyst jobs?

Cities near Racine, WI with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Racine, WI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $77,473 per year, or $37.2 per hour.

Data Analyst with Security Clearance

Goldbelt Inc

Milwaukee, WI โ€ข On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 17 hours ago

Posted today


Job description

Overview Please note that this position is contingent upon the successful award of a contract currently under bid. A leader in cutting-edge research and technology in the cyber arena, CPMG focuses on using business drivers to guide cybersecurity activities and manage risk. CPMG offers flexible, integrative solutions for Department of Defense (DoD) contractors, among others, and specializes in cybersecurity, information and operational technology, electronic security surveillance, and support services. Summary: This Data Analyst position is located within the Bureau of Consular Affairs, Resource Management Unit (RMU). RMU serves as the primary strategic planning and oversight body for bureau-level resource management. It is responsible for developing and maintaining the bureau's strategic plan, establishing regulations, and prioritizing resources to align with mission objectives. RMU generates requirements, conducts cost of service modeling, and negotiates with interagency service requesters and intradepartmental service providers to secure necessary resources and services. Additionally, the RMU ensures transparency and accountability in resource allocation by coordinating with other bureaus and offices to align with Department-wide policies and standards. Through its strategic focus, the RMU provides the framework for effective resource management, enabling the bureau to meet its operational and strategic goals efficiently. Responsibilities Essential Job Functions: * Serves as a data analyst responsible for supporting a broad range of data analysis and visualization through the application of data science disciplines and advisory services that support the planning and execution of RMU programs. * Accessing data sources, establishing data connections, and pre-processing data for analysis. * Implementation, maintenance, and oversight of the data management standards, practices, process, and technologies within RMU. * Utilizes knowledge of a broad range of qualitative and quantitative methods to analyze, conceptualize, and visualize the data generated by a wide range of software and applications. * Designing and developing data visualizations and dashboard solutions to provide required analytics insights and BI. * Utilizing analytics tools and artificial intelligence (AI) for data visualization and business intelligence (BI), such as Power BI. * Assists in the coordination of project planning with other members of the data team and other stakeholders to develop project plans, work to be done, scope, and deadlines. Otherwise, s/he is responsible for planning and organizing projects, coordinating with staff if needed, conducting all phases of projects. * Advises on data integration and its impact on RMU's analytical toolsets, platforms, and products. * Leading data driven analytic activities involving the identification of key indicators for compliance and effective performance critical to mission/business success. * Designing data modeling processes, creating algorithms and predictive models, and performing ad hoc/exploratory data analysis to support data-driven decision making, including use of advanced analytics techniques such as predictive modeling and machine learning. * Integrates data and automation from other Departmental teams, primarily elsewhere in CA and in CGFS. * Ensures that periodic sampling of process/performance data is accomplished to identify data anomalies, i.e., missing input, dates inconsistent with data, numbers too large or small to be consistent with the data. * Provides data analysis and data integrity advice on program issues and systems to data owners/managers to solve problems involving mission, policies, organization, processes, procedures, and methods. * Operate successfully on remote projects. * Other duties as required by the team and/or assigned by RMU leadership. Qualifications Necessary Skills and Knowledge: * Intermediate/Expert knowledge/experience of Excel, PowerBI, Power Automate, and PowerApps and demonstrated proficiency with Microsoft Office applications (MS Word, PowerPoint and Excel). * Must possess excellent verbal and written skills. * Must possess a customer service approach, to include but not limited to people-first attitude, problem-solving and maintaining highest standards of personal/professional ethics. * Knowledge of and skill in use of various virtual meeting platforms to include Microsoft Teams, Webex, and Zoom with the ability to adapt to using other various remote work tools. * Knowledge of and skill in applying analytical and evaluative techniques in order to plan, schedule, and conduct studies and analyses of management functions or programs. Minimum Qualifications: * Must be a U.S. citizen with a valid U.S. passport and possess or obtain/maintain a minimum SECRET clearance. * Bachelor's degree * Four (4) years of experience * Previous experience in a project or program management role. * Prior experience applying process management techniques, process improvement implementation, and automation. * Experience with data analysis and data visualization. * Experience with financial data and processes. Pay and Benefits The salary range for this position is $90,000.00 to $102,000.00 annually. At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.