edmentum

Senior Analyst, Teacher Effectiveness

United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Education TechnologyIndustries

Requirements

Candidates should have over 4 years of experience in data analysis, business intelligence, or education analytics, with proficiency in Excel, SQL, and at least one programming language like Python or R, as well as data visualization tools such as Power BI or Tableau. Deep expertise in educator effectiveness frameworks, instructional improvement cycles, and student learning impact metrics is required, along with experience in developing predictive models and machine learning techniques. Proven ability to lead cross-functional data strategy initiatives, design enterprise-wide analytics frameworks, contribute to data governance, and manage systems integration strategy, including vendor evaluation and API architecture, is essential. A degree in Education, Statistics, Data Science, or a related quantitative field is necessary, with a Master's degree being preferred.

Responsibilities

The Senior Analyst will lead strategic data initiatives for educator effectiveness, designing scalable analytics frameworks and driving innovation in instructional data modeling. They will influence organizational decision-making through executive-level reporting and data storytelling, and own the integration strategy for educator effectiveness systems. Responsibilities include developing predictive models and machine learning techniques to personalize instructional support, launching innovation pilots to test new educator enablement metrics, and building dashboards for instructional leaders. The role also involves collaborating cross-functionally to align systems and processes, contributing to enterprise-wide data governance, and adapting to evolving responsibilities based on business needs.

Skills

Data Analysis
Business Intelligence
Data Strategy
Analytics Frameworks
Instructional Data Modeling
Executive Reporting
Systems Integration
API Architecture
Predictive Modeling
Machine Learning
Data Governance
Dashboard Development
Self-Serve Reporting

edmentum

Educational technology solutions for K-12 schools

About edmentum

Edmentum creates educational technology solutions designed to improve student outcomes in K-12 education. Their products help educators address learning challenges such as knowledge gaps, concept mastery, and credit recovery by providing data-driven tools that tailor educational experiences to individual student needs. Edmentum serves a wide range of clients, impacting over 43,000 schools and 5.2 million students across the U.S. and more than 100 countries. Unlike many competitors, Edmentum focuses on integrating its solutions into existing school curriculums, allowing teachers to offer personalized learning experiences. The company's goal is to enhance the educational journey of students by equipping educators with effective tools and fostering strong relationships with them.

Bloomington, IndianaHeadquarters
1960Year Founded
$42MTotal Funding
DEBTCompany Stage
EducationIndustries
1,001-5,000Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
401(k) Company Match
Unlimited Paid Time Off
Paid Vacation
Wellness Program

Risks

Emerging EdTech startups offer innovative solutions at lower costs, threatening market share.
Rapid technological advancements may outpace Edmentum's platform updates, risking obsolescence.
Data privacy regulations could increase operational costs and complexity for Edmentum.

Differentiation

Edmentum offers data-driven solutions tailored to individual student needs.
The company integrates durable skills into middle school career exploration courses.
Edmentum supports K-12 educators with tools for knowledge gaps and credit recovery.

Upsides

Growing demand for personalized learning solutions post-COVID-19 benefits Edmentum.
Partnership with America Succeeds enhances Edmentum's career exploration offerings.
AI-driven educational tools trend aligns with Edmentum's data-driven approach.

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