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Associate Educational Data Analyst Jobs in Virginia

Experience and Education Bachelor's degree in a quantitative field such as Computer Science ... Power BI Data Analyst Associate • Google Data Analytics Professional Certificate • Certified ...

Experience and Education Bachelor's degree in a quantitative field such as Computer Science ... Power BI Data Analyst Associate Google Data Analytics Professional Certificate Certified Analytics ...

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Senior Data Analyst ID: 1592 Location: Quantico, VA More about this job > Description Data ... EMC Data Science Associate (EMCDSA) * Cloudera Certified Data Scientist (CCDH) / Certified Cloud ...

As the Data Analyst, you'll dig into complex geospatial datasets, surface patterns and compliance ... Education: Associate's = 2 pts • Bachelor's = 3 pts • Master's = +2 pts • PhD = +3 pts

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

This role focuses on advanced data analytics, statistical modeling, and integration of data-driven ... EMC Data Science Associate (EMCDSA) * Cloudera Certified Data Scientist (CCDH) / Certified Cloud ...

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... Education and Credentials include: * Associate degree in a highly quantitative field (Computer ...

Data Analyst

Alexandria, VA · On-site

$99K - $144K/yr

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... education and experience. ANSER provides employees benefits to support all aspects of their life ...

Associate Data Analyst

Falls Church, VA · On-site

$76K - $142K/yr

Educational Background: * Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field. * Achievements & Accomplishments: * o Demonstrated track record of ...

Educational Background: * Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field. * Achievements & Accomplishments: * o Demonstrated track record of ...

... education to the citizens of Central Louisiana. The university is a unit of the LSU System and ... Data Analyst SUPERVISOR: Director, Office of Institutional Research & Effectiveness PURPOSE:

The Data Analyst specializes in collecting, organizing, and analyzing data from various systems ... Ability to analyze processes and recommend improvements as needed Education and Certification

Education: Bachelor's degree in a Science, Technology, Engineering, Math (STEM), Business, or a related field. * Experience: A minimum of six (6) years of professional experience in data analytics ...

The Data Analyst specializes in collecting, organizing, and analyzing data from various systems ... Ability to analyze processes and recommend improvements as needed Education and Certification

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Associate Educational Data Analyst information

What is the difference between Associate Educational Data Analyst vs Educational Data Analyst?

AspectAssociate Educational Data AnalystEducational Data Analyst
Required CredentialsBachelor's degree in education, data analysis, or related fieldBachelor's or master's degree in education, statistics, or data science
Work EnvironmentEntry-level, supporting data collection and basic analysis in educational settingsMore advanced analysis, reporting, and interpretation in educational institutions or agencies
Employer & Industry UsageSchools, districts, educational nonprofitsSchool districts, education departments, research organizations
Common Search & ComparisonYesYes

The Associate Educational Data Analyst typically performs entry-level data collection and basic analysis tasks, supporting educational data projects. In contrast, the Educational Data Analyst handles more complex analysis, reporting, and data interpretation. The roles often overlap in credentials and work environment, but the Educational Data Analyst usually requires more experience and advanced skills.

What are some typical challenges an Associate Educational Data Analyst might face when working with school data systems?

Associate Educational Data Analysts often encounter challenges such as data inconsistency across different school systems, missing or incomplete records, and varying data formats. Navigating these issues requires strong attention to detail and effective communication with educators and IT staff to clarify data requirements. Additionally, analysts must ensure that student privacy is maintained while extracting meaningful insights, which can add complexity to data processing and reporting tasks.

What is an Associate Educational Data Analyst?

An Associate Educational Data Analyst is a professional who collects, processes, and analyzes data related to educational institutions, student performance, and academic programs. They work with datasets to identify trends, generate reports, and provide insights that help improve educational outcomes. Their role often involves supporting senior analysts, managing databases, and ensuring the accuracy of data collection and reporting. Associate Educational Data Analysts typically use statistical software and data visualization tools to assist educators and administrators in making data-driven decisions.

What are the key skills and qualifications needed to thrive as an Associate Educational Data Analyst, and why are they important?

To thrive as an Associate Educational Data Analyst, you need a solid background in statistics, data analysis, and educational measurement, typically supported by a relevant bachelor’s degree. Familiarity with data analysis tools such as Excel, SQL, SPSS, R, or Python and experience with student information systems are commonly required. Attention to detail, problem-solving abilities, and effective communication are key soft skills for interpreting data and presenting findings to stakeholders. These skills are crucial for ensuring accurate data-driven decisions that support educational outcomes and institutional improvement.
What are the most commonly searched types of Educational Data Analyst jobs in Virginia? The most popular types of Educational Data Analyst jobs in Virginia are:

Data Analyst

TLA-LLC

Mclean, VA • On-site

Full-time

Posted 7 days ago


Job description

TLA is seeking a detail-oriented and analytical Data Analyst to transform complex data sets into actionable business insights. The ideal candidate will be responsible for the full lifecycle of data analysis, including data collection, cleaning, interpretation, and presentation of findings to stakeholders to drive strategic decision-making across the organization.
Key Responsibilities:
  • Data Collection & Management: Collect data from primary and secondary sources, and maintain databases and data systems to ensure accuracy and integrity.
  • Data Cleaning & Preparation: Clean, filter, and transform raw data to remove inconsistencies and prepare it for analysis, ensuring high data quality.
  • Statistical Analysis: Apply appropriate statistical methods and techniques to interpret data, analyze trends, and identify patterns and correlations that provide valuable business insights.
  • Reporting & Visualization: Develop and maintain reports, interactive dashboards, and Key Performance Indicators (KPIs) using data visualization tools to communicate findings in an understandable format for non-technical stakeholders.
  • Problem Solving: Collaborate with cross-functional teams (e.g., Marketing, Finance, Operations) to understand business requirements, define analytical needs, and provide data-driven recommendations to solve complex problems and improve processes.
  • Documentation: Create clear and concise documentation of data sources, analysis processes, and results to ensure reproducibility and transparency.
  • Process Improvement: Identify and implement opportunities to automate and streamline data collection and reporting processes for improved efficiency.

Required Skills and Experience:
Proficiency in SQL: Essential for querying and managing data in relational databases, including advanced functions like joins and aggregations.
Strong Excel Skills: Advanced proficiency with spreadsheet software, including pivot tables, VLOOKUP/INDEX-MATCH, and complex formulas for data manipulation and quick analysis.
Programming Languages: Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation.
Data Visualization Tools: Hands-on experience with Business Intelligence (BI) and data visualization platforms (Tableau or Microsoft Power BI preferred).
Statistical Knowledge: Solid understanding of statistical concepts, including hypothesis testing, regression analysis, and A/B testing.
Soft Skills
Analytical and Critical Thinking: The ability to logically approach complex problems, ask the right questions, and evaluate data objectively.
Communication Skills: Excellent written and verbal communication skills, with the ability to translate technical findings into clear, compelling narratives for diverse audiences.
Attention to Detail: Meticulous attention to detail to ensure the accuracy and reliability of data and analysis.
Problem-Solving Abilities: A proactive mindset to troubleshoot data issues and find innovative solutions.
Collaboration: Strong interpersonal skills and the ability to work effectively within a team environment and with various stakeholders.
Experience and Education
Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
Preferred Certifications and Qualifications:
While not required, the following certifications are a plus:
Microsoft Certified: Power BI Data Analyst Associate
Google Data Analytics Professional Certificate
Certified Analytics Professional (CAP)
AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)
Requirements
Preferred Certifications and Qualifications:
While not required, the following certifications are a plus:
Microsoft Certified: Power BI Data Analyst Associate
Google Data Analytics Professional Certificate
Certified Analytics Professional (CAP)
AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)