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Virtual Job Fair Data Analyst Jobs in Wisconsin (NOW HIRING)

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable ... Fair Chance Ordinance and the California Fair Chance Act. Prospective employees required to be ...

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable ... Fair Chance Ordinance and the California Fair Chance Act. Prospective employees required to be ...

Zero Trust Data Engineer JR

Milwaukee, WI · On-site

$112K - $135K/yr

Analytics, Reporting & Security Posture Intelligence Reporting: Utilize SQL and Power BI to analyze ... Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for ...

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Virtual Job Fair Data Analyst information

What is a virtual job fair data analyst?

A Virtual Job Fair Data Analyst is a professional who collects, analyzes, and interprets data from virtual job fairs to help organizations assess candidate engagement, event effectiveness, and hiring outcomes. They use specialized software and data analytics tools to track metrics such as attendee demographics, booth visits, chat interactions, and application rates. By generating detailed reports and actionable insights, they assist employers and event organizers in improving future virtual recruiting events, optimizing candidate experience, and making data-driven hiring decisions.

How does a virtual job fair data analyst typically collaborate with event organizers and recruiters during an online job fair?

As a Virtual Job Fair Data Analyst, you’ll work closely with event organizers and recruiters to track and interpret participant engagement, booth traffic, and candidate interactions in real-time. Your insights help stakeholders optimize booth layouts, adjust marketing strategies, and improve the overall experience for both employers and job seekers. You may also present post-event reports highlighting metrics such as attendee demographics, session popularity, and conversion rates, ensuring the success of future events. Regular communication and collaboration are essential, as your analyses directly influence decision-making during and after the event.

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

To thrive as a Virtual Job Fair Data Analyst, you need strong analytical skills, proficiency in data management, and a background in statistics or a related field, often supported by a bachelor’s degree. Familiarity with data analysis tools such as Excel, SQL, Tableau, or Google Analytics, along with experience in virtual event platforms, is typically required. Attention to detail, effective communication, and problem-solving abilities are crucial soft skills to interpret data and present actionable insights to stakeholders. These competencies are essential for accurately measuring event performance, enhancing participant experiences, and informing strategic decisions in virtual recruitment environments.

What is the difference between Virtual Job Fair Data Analyst vs Virtual Job Fair Business Analyst?

AspectVirtual Job Fair Data AnalystVirtual Job Fair Business Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in data toolsBachelor's in Business, Economics, or related; strong analytical skills
Work EnvironmentRemote or on-site data-focused roles, often in tech or finance industriesRemote or on-site roles in corporate, consulting, or finance sectors
Employer & Industry UsageUsed by tech companies, finance firms, and data-driven organizationsCommon in consulting firms, corporate strategy departments, and finance

The Virtual Job Fair Data Analyst and Virtual Job Fair Business Analyst roles share similarities in required skills and work environments but differ mainly in focus. Data Analysts concentrate on data collection, analysis, and visualization, while Business Analysts focus on process improvement and strategic planning. Both roles are vital in data-driven industries and often appear in virtual job fairs targeting different organizational needs.

Is it possible to get a remote job as a virtual job fair data analyst?

Yes, virtual job fair data analyst positions are often available as remote roles, especially in companies that prioritize flexible work arrangements. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and may involve working with cloud-based platforms. Remote data analyst jobs are common across various industries and can often be found through online job boards and company career pages.

What job categories do people searching Virtual Job Fair Data Analyst jobs in Wisconsin look for?

The top searched job categories for Virtual Job Fair Data Analyst jobs in Wisconsin are:

What cities in Wisconsin are hiring for Virtual Job Fair Data Analyst jobs?

Cities in Wisconsin with the most Virtual Job Fair Data Analyst job openings:

Infographic showing various Virtual Job Fair Data Analyst job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Data Analyst with Security Clearance

Goldbelt Inc

Milwaukee, WI • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


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.