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Virtual Job Fair Data Analyst Jobs in Mesa, AZ (NOW HIRING)

... virtual care platform. Partnering with providers and health plans, including CMS' new GUIDE ... Reporting to the Head of Data, you will serve as a key analytical thought leader-defining how ...

Data & Operations Analyst

Tempe, AZ · Hybrid

$78K - $106K/yr

Job Summary - Data and Operations Analyst We are on an exciting journey to improve the quality and ... Fair Chance Ordinance, (ii) the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance ...

Data & Operations Analyst

Tempe, AZ · On-site

$78K - $106K/yr

Job Summary - Data and Operations Analyst We are on an exciting journey to improve the quality and ... Fair Chance Ordinance, (ii) the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance ...

Data & Operations Analyst

Tempe, AZ · Hybrid

$78K - $106K/yr

Job Summary - Data and Operations Analyst We are on an exciting journey to improve the quality and ... Fair Chance Ordinance, (ii) the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance ...

Senior Data Visualizations Analyst

Phoenix, AZ · On-site +1

$6.25K - $7.25K/mo

SENIOR DATA VISUALIZATION ANALYST Job Code: SRDVA Reports To: Manager, Data Business Intelligence ... Virtual Office Minimum Starting Monthly Range: $6,252 Hiring Range (Monthly Pay): $6,252 - $7,250 ...

Senior Data Visualizations Analyst

Phoenix, AZ · On-site +1

$6.25K - $7.25K/mo

SENIOR DATA VISUALIZATION ANALYST Job Code: SRDVA Reports To: Manager, Data Business Intelligence ... Virtual Office Minimum Starting Monthly Range: $6,252 Hiring Range (Monthly Pay): $6,252 - $7,250 ...

Data Risk, Vice President

Tempe, AZ · Hybrid

$121K - $170K/yr

It does not involve software development, coding, or analytics development. Key Responsibilities ... Fair Chance Ordinance, (ii) the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance ...

WORK EXPERIENCE Some data quality or similar level data analysis experience required Experience in ... Fair Chance Ordinance, (ii) the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance ...

Clear career paths into data governance, business analysis, risk, operations, or program management ... Fair Chance Ordinance, (ii) the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance ...

Clear career paths into data governance, business analysis, risk, operations, or program management ... Fair Chance Ordinance, (ii) the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance ...

Business Analyst

Tempe, AZ · On-site

$70K/yr

Job Profile: Business and Data Analyst 2 Job Family: Business and Data Analytics Time Type ... Facilitates virtual sessions with 20 or more participants, manages discussion, captures input in ...

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Virtual Job Fair Data Analyst information

See Mesa, AZ salary details

$33.7K

$82K

$134.9K

How much do virtual job fair data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for virtual job fair data analyst in Mesa, AZ is $81,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

What are popular job titles related to Virtual Job Fair Data Analyst jobs in Mesa, AZ? For Virtual Job Fair Data Analyst jobs in Mesa, AZ, the most frequently searched job titles are:
What cities near Mesa, AZ are hiring for Virtual Job Fair Data Analyst jobs? Cities near Mesa, AZ with the most Virtual Job Fair Data Analyst job openings:
Infographic showing various Virtual Job Fair Data Analyst job openings in Mesa, AZ as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,987 per year, or $39.4 per hour.
Staff Data Analyst

Staff Data Analyst

SynaptiCure Inc.

Phoenix, AZ • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

About Synapticure
As a patient and caregiver-founded company, Synapticure provides instant access to expert neurologists, cutting-edge treatments and trials, and wraparound care coordination and behavioral health support in all 50 states through a virtual care platform. Partnering with providers and health plans, including CMS' new GUIDE dementia care model, Synapticure is dedicated to transforming the lives of millions of individuals and their families living with neurodegenerative diseases such as Alzheimer's, Parkinson's, and ALS.
 
Our data team powers the insights behind patient care, operational efficiency, and innovation in clinical outcomes-turning data into actionable intelligence that improves the lives of patients and families nationwide.
 
The Role
Synapticure is seeking an experienced and visionary Data Analyst to join our growing Data team. Reporting to the Head of Data, you will serve as a key analytical thought leader-defining how Synapticure measures success, tells stories through data, and drives organizational decision-making at the highest levels.
 
This is not a dashboarding or reporting role. You will own the analytical vision for major functional areas, architect scalable data models, and lead cross-functional initiatives that influence clinical, operational, and financial strategy. You'll transform complex, ambiguous business problems into clear, rigorous analytical frameworks that drive real-world impact for patients, caregivers, and providers.
 
The ideal candidate is a seasoned data professional who brings deep technical expertise, exceptional business acumen, and a passion for improving healthcare through data. You will act as both a strategist and a hands-on technical leader-mentoring other analysts, setting standards for data excellence, and ensuring our infrastructure and insights scale with our mission.
Job Duties - What you'll be doing
  • Define and Govern Analytical Strategy: Establish the multi-quarter analytical roadmap for a major business area (e.g., Clinical, Growth, or Operations), translating strategic objectives into measurable, actionable data initiatives.
  • Architect Data Models: Serve as the principal steward of Synapticure's data models and semantic layers (dbt/Snowflake), ensuring scalability, performance, and data integrity across the enterprise.
  • Lead Cross-Functional Initiatives: Manage complex, high-impact projects that require integration of diverse data sources and alignment across Product, Clinical, Finance, and Operations teams.
  • Strategic Partnership: Act as a trusted advisor to senior and executive leadership-framing key questions, guiding methodology, and delivering data-driven insights that shape company direction.
  • Mentorship & Team Development: Provide technical mentorship to other analysts, establish standards for analytical rigor and reproducibility, and elevate the analytical maturity of the entire organization.
  • Define and Govern Key Metrics: Create and maintain consistent definitions for enterprise-level KPIs to ensure alignment and accuracy across teams.
  • Storytelling with Data: Communicate analytical findings through compelling narratives that connect technical results to business and clinical impact.
  • Champion Data Integrity: Lead by example in maintaining high standards of quality, governance, and documentation across all analytical outputs and infrastructure.
Requirements - What we look for in you
  • 8+ years of experience in advanced data roles (Data Analyst, Analytics Engineer, BI Architect, or equivalent) with proven impact in complex, high-growth organizations
  • Deep understanding of healthcare data ecosystems, including CMS data, clinical workflows, value-based care models, and regulatory compliance
  • Expert-level SQL proficiency and experience building transformation pipelines using dbt or equivalent modern data stack tools
  • Hands-on experience designing and maintaining production-grade data models within Snowflake, BigQuery, or Redshift environments
  • Strong knowledge of BI tools such as Tableau, Looker, Power BI, or Knowi, including building scalable analytics environments
  • Proven ability to translate ambiguous business questions into structured analytical plans and actionable insights
  • Exceptional communication and presentation skills-capable of influencing C-level stakeholders and cross-functional teams
  • Demonstrated experience mentoring data professionals and implementing analytical best practices at scale
  • Proven track record of delivering measurable business and clinical impact through data-driven decision-making
Preferred Qualifications
  • Experience using Python or R for advanced statistical modeling or machine learning
  • Deep understanding of patient journey analytics, cohort building, and healthcare funnel analysis
  • Familiarity with value-based care metrics, risk adjustment, and clinical quality measurement
  • Background in statistical methods, causal inference, and experimental design
  • Prior startup or high-growth experience, ideally in health-tech or healthcare analytics
  • History of contributing to the data community through open-source projects, blog posts, or speaking engagements
We're founded by a patient and caregiver, and we're a remote-first company. This means our values are at the heart of everything we do, and while we're located all across the country, these principles are what tie us together around a common identity:
  • Relentless focus on patients and caregivers. We are determined to provide an exceptional experience for every patient we have the privilege to serve, and we put our patients first in everything we do.
  • Embody the spirit and humanity of those living with neurodegenerative disease. Inspired by our founders, families, and personal experiences, we meet every challenge with empathy, compassion, kindness, joy, and hope.
  • Seek to understand, and stay curious. We start by listening to one another, our partners, our patients, and their caregivers. We communicate with authenticity and humility, prioritizing honesty and directness while recognizing we always have something to learn.
  • Embrace the opportunity. We are energized by the importance of our mission and bias toward action.
Travel Expectations
This is a fully remote position. Occasional travel to Synapticure's headquarters in Chicago, IL or other team gatherings may be required.
 
Salary & Benefits
Competitive compensation based on experience
Comprehensive health, dental, and vision insurance
401(k) plan with employer matching
Flexible, remote-first work environment
Home office stipend and technology support
Generous paid time off and sick leave
Opportunities for professional growth and advancement
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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