Senior Data Analyst

Senior Data Analyst

Gurgaon, India

Khan Academy is a fast-paced, nonprofit startup on a mission to provide a free, world-class education for anyone, anywhere. We already reach millions of students every month and are growing rapidly. We're building a library of world-class instructional and practice resources that empowers learners. Whether they're studying matrices, mitosis, or multivariable calculus, we want to offer students the resources to realize that they can learn anything.

Khan Academy India aims to deliver a world class user experience that is locally relevant to learners in India and is enabled by a strong on-the-ground team and operations. Our learning system is mastery based, which allows students to master key concepts at a pace that is right for them before moving on to more challenging content. From serving under 500,000 learners in 2016, we are now serving almost 4 million learners a month across our websites, apps and youtube channels. These learners include both independent learners accessing us at home and teacher directed learners in schools. Our focus is to reach the underserved by making our content accessible in local languages and by working with large public school systems. Khan Academy is available in Hinglish, Hindi, Gujarati, Assamese, Marathi, Punjabi and Kannada.

We are looking for a person who will help us with data management, transformation, analysis and visualization. The primary focus will be on choosing optimal tools to use for these purposes and then maintaining, implementing, and monitoring them. Optimally you have knowledge of at least one dynamic language and SQL, a good business mindset, and data analysis competencies. Please note that this is a 12-months contract role, subject to extension further.

In this role you will:

• Data Integration: Automate ingestion of data from multiple sources (e.g., Google Sheets, APIs, internal systems) into BigQuery
• Database Management: Design, build, and maintain scalable data pipelines and workflows in BigQuery; Ensure data accuracy, consistency, and reliability
• Exploratory Analysis: Perform descriptive and diagnostic analyses to uncover trends, patterns, and insights.
• Business Reporting: Build dashboards, reports, and visualizations (e.g., in Streamlit, Looker Studio, Tableau, or similar tools) to support decision-making.
• KPI Definition & Tracking: Partner with stakeholders to define key business metrics and create systems for daily, weekly and monthly tracking as needed
• Data Storytelling: Translate complex datasets into clear, actionable insights for both technical and non-technical audiences

You are someone with:

• Experience with Education or EdTech industry is strongly preferred
• A willingness to roll up your sleeves and help the team get work done as we are growing
• 4+ years of hands on experience in data analytics field, ideally in an education setting
• Knowledge of advanced statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
• Strong SQL foundations & ability to manipulate data using R or Python
• Prior experience with the end-to-end analytics chain is a nice to have (e.g. data modeling, BI tools, Bigquery)
• Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams, experience with BI tools is a plus
• Ability to work collaboratively with cross-functional teams to research and improve our content and products
• Being aware of good practices when collaborating in version control (Git)

We may be a non-profit, but we reward our talented team like a for-profit.

• Competitive salaries and Meritocracy-driven, candid culture
• A fun, high-caliber team that trusts you and gives you the freedom to be brilliant
• The ability to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
• Remote work friendly, i.e. option to work from home; flexible schedules

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.