Senior Data Analyst

Company Description PPStack is a global EdTech brand focused on redefining how students, professionals, and organizations learn and grow in the digital era. The company combines artificial intelligence, modern technology, and innovative teaching methods to deliver future-ready skills and career transformation opportunities. PPStack offers AI-powered learning platforms, crash courses, corporate training, career coaching, digital branding, and technology consulting, creating an integrated ecosystem where education drives innovation and employability. Trusted by learners worldwide, PPStack partners with institutions and enterprises on curriculum design, e-learning platforms, and research in learning technologies. Its programs span AI, data, cloud, and digital growth, supporting both individual careers and organizational upskilling. Role Description This full-time remote Senior Data Analyst role is responsible for driving data-informed decisions across PPStack’s learning, career, and digital initiatives. The Senior Data Analyst will collect, clean, and analyze data from multiple sources, build dashboards and reports, and translate complex findings into clear insights for business, product, and academic stakeholders. Day-to-day work includes designing and maintaining data models, evaluating program effectiveness, performing statistical analyses, and identifying trends that improve learner outcomes, platform performance, and marketing efficiency. The role will collaborate closely with product managers, educators, engineering, and leadership to define key metrics, optimize experiments, and support strategic planning. The Senior Data Analyst will also contribute to data governance practices, documentation, and continuous improvement of PPStack’s analytics capabilities. Qualifications Candidates should possess strong Analytical Skills and Data Analytics experience, including the ability to interpret complex datasets and develop actionable insights. Candidates should possess solid knowledge of Statistics and experience applying statistical methods to A/B testing, forecasting, and performance evaluation. Candidates should possess proficiency in Data Modeling, including designing efficient data structures for reporting, dashboards, and self-service analytics. Candidates should possess excellent Communication skills, with the ability to present findings clearly to technical and non-technical stakeholders and influence data-driven decisions. Proficiency with SQL and at least one analytics or scripting tool (e.g., Python, R) and experience with BI tools (e.g., Power BI, Tableau, Looker) are highly beneficial. Experience working with EdTech, digital products, or learning platforms, and familiarity with product analytics and experimentation frameworks are a plus. Bachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or related discipline is preferred. Demonstrated ability to work independently in a remote environment, manage multiple priorities, and collaborate effectively in cross-functional teams is essential. Show more Show less