Digital Education Strategist for Data-Driven Insights
2 days ago
Job Summary:
IDLA is seeking a Digital Education Strategist to join its team. As a Digital Education Strategist, you will play a critical role in driving student success within our online learning platform by leveraging data science and analytics. This role requires a strong background in data science and analytics, with a keen interest in applying these skills to improve educational outcomes and user engagement.
Main Responsibilities:
- Collect, clean, and analyze large datasets related to student interactions, performance, and engagement within our online learning platform.
- Develop and implement predictive models and algorithms to identify trends, patterns, and opportunities for improving the student user experience.
- Create and maintain dashboards and reports to monitor key performance indicators (KPIs) and inform decision-making.
- Utilize advanced statistical techniques and machine learning to gain insights into student behavior and outcomes.
- Apply data-driven insights to recommend and implement changes to the online learning platform that enhance the student user experience.
- Collaborate with UX designers, instructional designers, and developers to integrate data analytics into the design and development process.
- Conduct A/B testing and other experiments to evaluate the impact of UX changes on student engagement and performance.
- Monitor and analyze user feedback and behavior to continuously refine and improve the user experience.
- Work closely with cross-functional teams, including instructional design, IT, and administration, to ensure that data analytics initiatives align with organizational goals.
- Present data findings and recommendations to stakeholders in a clear and actionable manner.
- Advocate for data-driven decision-making and evidence-based improvements to the student user experience.
Requirements:
To be successful in this role, you should possess a strong background in data science and analytics, with a proven track record of delivering data-driven insights. Key qualifications include:
- Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Master's degree preferred.
- Proven experience in data science and analytics, with a strong portfolio demonstrating relevant projects.
- Proficiency in data analysis tools and programming languages such as Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of statistical analysis, machine learning, and predictive modeling.
- Experience in user experience (UX) research and design is a plus.
- Excellent communication and collaboration skills.
Salary and Benefits:
- Competitive salary range of $78,000 - $85,000.
- Comprehensive benefits package, including health insurance, PERSI benefits, and paid leave.
- Necessary computer equipment, software, and applications.
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