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Data Analyst In Education Jobs in Nevada (NOW HIRING)

Marencor

Data Modeler

Las Vegas, NV · On-site

$52.25 - $67.75/hr

Las Vegas, 12 months Contract * 5+ years of experience in Data Modeling & Data Analyst and should have excellent communication and leadership skills. * Financial Domain knowledge is plus. * Should ...

Pwc

Data Strategy-Manager

Las Vegas, NV

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Pwc

Data Governance- Manager

Las Vegas, NV

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Infojini Inc

Sr. System Analyst

Las Vegas, NV

System Analyst Duration: 5+ months Location: Las Vegas, NV KNOWLEDGE AND EXPERIENCE 3+ years work ... EDUCATION Bachelor's degree or equivalent education in Computer Sciences, Management Sciences ...

Pearson

Specialist, Data Scientist

Carson City, NV · On-site

$125 - $150/hr

Required education and experience * Bachelor's degree in data science, Statistics, Mathematics, Computer Science, Engineering, Analytics, or related field, or equivalent practical experience. * 3+ ...

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Data Analyst In Education information

What does a data analyst in education do?

A Data Analyst in Education collects, processes, and interprets educational data to help schools, districts, or educational organizations make informed decisions. They analyze student performance, attendance, and other metrics to identify trends, measure program effectiveness, and support policy development. Their work helps improve teaching methods, resource allocation, and student outcomes by turning complex data into actionable insights.

What are the key skills and qualifications needed to thrive as a data analyst in education?

To thrive as a Data Analyst in Education, you need strong analytical skills, proficiency in statistics, and a degree in a relevant field such as mathematics, education, or data science. Familiarity with tools like Excel, SQL, education-specific data platforms, and data visualization software (e.g., Tableau or Power BI) is typically required. Attention to detail, problem-solving abilities, and effective communication skills help you translate complex data into actionable insights for educators and administrators. These skills are crucial because they enable data-driven decision-making that can improve student outcomes and institutional effectiveness.

How does a data analyst in education typically collaborate with teachers and administrators to improve student outcomes?

Data Analysts in Education often work closely with teachers and administrators to interpret student performance data and identify areas for instructional improvement. By presenting clear, actionable insights from assessment results and attendance trends, analysts help educators tailor interventions and support programs. Regular meetings, workshops, and data-driven presentations are common ways analysts facilitate collaboration, ensuring that data is translated into effective strategies that enhance learning outcomes.

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Data Analyst In Education jobs near you

Business Systems Analyst in NV

Vertex Elite LLC

Las Vegas, NV • On-site

Contractor

Re-posted 13 hours ago

Job description

Only Visa Independent Consultants

Skills And Responsibilities: 

  • Bachelor's degree in Business Administration, Information Technology, or a related field (Master's degree preferred).
  • Proven experience as a Business Systems Analyst with a minimum of 8+ years of experience in business analysis and system design.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Proficiency in business analysis tools and techniques.
  • Familiarity with software development methodologies (e.g., Agile, Waterfall).
  • Knowledge of data analysis tools and techniques (e.g., SQL, data modeling).
  • Experience with requirements management and documentation tools (e.g., JIRA, Confluence).
  • Strong attention to detail and the ability to work independently and as part of a team.