Data Reporting Analyst

Company Overview FasTutorAI is an advanced AI-powered learning platform transforming how students, educators, and institutions engage with education. By combining artificial intelligence, data analytics, and personalized tutoring systems, we help learners build skills faster and empower educators with actionable insights. Our mission is to make education accessible, intelligent, and data-driven, supporting better outcomes across classrooms, training environments, and professional development pathways. Role Summary We are seeking a highly analytical and detail-oriented Data Analyst (Reporting) to support our data-driven operations across the FasTutorAI ecosystem. This role focuses on building and managing reporting systems that provide visibility into platform performance, user engagement, learning analytics, and operational efficiency. You will work with large datasets generated from, course modules, CareerLab progress, student behavior, and institutional usage. You will be responsible for delivering clean, accurate, and actionable reports that help leadership, educators, and technical teams make informed decisions. Key Responsibilities Reporting & Dashboard Development • Design, develop, and maintain interactive dashboards and performance reports for internal teams and partner institutions. • Build automated reporting pipelines using tools such as Power BI, Tableau, Excel, or custom reporting modules within FasTutorAI. • Create standardized reporting frameworks to track learning progress, performance trends, and platform engagement. Data Analysis & Insights • Analyze learner behavior, tutoring interactions, course completion patterns, and AI assistant usage to extract meaningful insights. • Conduct trend analyses, cohort analyses, retention reporting, and data-driven evaluations of feature performance. • Translate complex datasets and analytical results into clear, digestible insights for product teams, educators, and leadership. Data Quality & Management • Validate, clean, and transform data from DynamoDB, event logs, quiz submissions, project progress. • Ensure data accuracy, consistency, and completeness across all reporting views. • Maintain documentation, data dictionaries, and reporting standards for internal use. Cross-Functional Collaboration • Work closely with the engineering, product, academic content, and AI research teams to understand reporting requirements. • Provide high-quality analyses that inform feature development, student success strategies, and operational improvements. • Support partners (schools, instructors, training programs) with tailored reporting when needed. Qualifications Required Skills • Strong proficiency in data analysis and reporting methodologies. • Advanced Excel skills (Power Query, pivot tables, formulas). • Experience with SQL for querying structured datasets. • Familiarity with BI tools such as Power BI, Tableau, or Looker. • Solid understanding of data cleaning, validation, and transformation practices. • Strong logical, analytical, and problem-solving abilities. • Ability to communicate insights clearly to non-technical stakeholders. Preferred Skills • Experience with Python (Pandas, NumPy) or R for deeper analysis. • Knowledge of cloud data systems (AWS DynamoDB, S3, Athena, Redshift). • Experience in EdTech analytics, student learning data, or operational reporting. • Understanding of AI/ML datasets and model performance metrics. Education Requirements Bachelor’s degree in a quantitative or technical field OR equivalent professional experience in data analysis, reporting, or analytics. • Candidates with strong portfolio, certifications, or demonstrable reporting experience will be considered regardless of degree field.