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Virtual Fair Data Analyst Jobs in Colorado (NOW HIRING)

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software ... For only those qualified applicants that are impacted by the Los Angeles County Fair Chance ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... For only those qualified applicants that are impacted by the Los Angeles County Fair Chance ...

Senior Data Scientist

Denver, CO · On-site

$132K - $155K/yr

Responsible for big data/analytics projects that gather and integrate large volumes of data ... Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San ...

Data Scientist

Denver, CO · On-site

$96K - $121K/yr

The Data Scientist will analyze complex data using statistical analysis, programming, and data ... Ability to work effectively with virtual teams * Ability to travel 5-10% Preferred Qualifications ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... For only those qualified applicants that are impacted by the Los Angeles County Fair Chance ...

Qualifications - Proficient in incident/claims management software, data analysis tools, and ... We are committed to fair hiring practices and to creating a welcoming environment for all team ...

Clinical Data Engineer

Denver, CO · On-site

$85K - $100K/yr

... earning fair, sustainable reimbursement. By saving money and reinvesting in health services, we ... Provide data analytics report development for specific projects as needed. * Develop data ...

Finance Data and AI Manager

Denver, CO · On-site

$99K - $232K/yr

You will analyze client needs, develop financial solutions, and provide guidance to help clients ... For only those qualified applicants that are impacted by the Los Angeles County Fair Chance ...

Showing results 21-40

Virtual Fair Data Analyst information

What is the difference between Virtual Fair Data Analyst vs Virtual Event Coordinator?

AspectVirtual Fair Data AnalystVirtual Event Coordinator
Primary RoleAnalyzes data related to virtual fairs, attendee behavior, and engagement metricsPlans, organizes, and manages virtual event logistics and attendee experience
Required SkillsData analysis, proficiency in analytics tools, understanding of virtual platformsEvent planning, communication, technical coordination
Work EnvironmentRemote, data-driven environment within marketing or event companiesRemote or hybrid, coordinating with vendors and clients
Common CertificationsData analysis certifications (e.g., Excel, Google Analytics)Event planning certifications (e.g., CMP, CSEP)

The Virtual Fair Data Analyst focuses on analyzing data to improve virtual fair performance, while the Virtual Event Coordinator manages the overall planning and execution of virtual events. Both roles may work remotely and require strong organizational skills, but their core responsibilities differ significantly.

What cities in Colorado are hiring for Virtual Fair Data Analyst jobs? Cities in Colorado with the most Virtual Fair Data Analyst job openings:

NIST PREP Data Infrastructure Engineer

Southeastern Universities Research Association

Boulder, CO • On-site

$60K/yr

Full-time

Re-posted 22 days ago


Job description

The Statistical Engineering Division at the National Institute of Standards and Technology is seeking immediate applications for a post-bachelor's position focusing on supporting the development of scientific computing applications and tools. The tools will include both public-facing web infrastructure and code bases used by bench scientists for data collection and analysis. A primary focus will be establishing a central, high-resolution data repository for international clock and frequency standard measurements, providing essential data and collaborative infrastructure for the upcoming redefinition of the second.
The candidate's primary responsibilities may include:
  • Supporting domain experts who generate requirements documents outlining software development needs
  • Creation and deployment of a data repository to store, maintain, and share results of interlaboratory measurements and analyses.
  • Performing the data curation and data engineering work to transform raw data into machine actionable datasets as guided by the FAIR data principles
  • Managing and consolidating data streams originating from atomic clocks and the associated network components including, e.g., optical fiber links and optical frequency combs.
  • Developing methodology for collating complex datasets involving multimodal data or heterogeneous processing pathways
  • Extracting information from the curated data using statistical techniques and/or AI approaches

The ideal candidate will have the following skills, experience, and/or qualifications:
  • Bachelor's degree in at least one of the following fields: computer science, systems engineering, statistics, physics, or a closely-related discipline
  • Cross-disciplinary collaboration.
  • Experience in scientific computing, workflow development and data management.
  • Applied machine learning / data science.
  • Reproducible research and production/dissemination of archival datasets.
  • Enthusiasm for learning about diverse measurement science techniques.
  • Familiar with DevOps principles and container-based application development/deployment.

Keywords: Python, DevOps, Docker, Kubernetes, Linux, Bash, Amazon Web Services, JSON, XML, HTML, JavaScript, CSS
Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0004024