Job in Brief: Your core responsibility is to guide the learners through the assigned course, ensuring their comprehension and completion of the learning content within the scheduled time. You will need to clear all doubts and queries, help out with hands-on activities, and trigger discussions. Job Description Have thorough understanding of Course Outcomes and Learning Objectives. Have custody of all relevant documents including, Curriculum, Course content etc. Go through the complete course content, lectures, industry assignments and formative assessment to have complete knowledge of course. Provide prompt and accurate answers to student queries related to online learning content. Help students solve problems and complete assignments whenever they are stuck. Communicate clearly, professionally, and courteously with the learners in the same manner an industry professional would. Utilize various resources, such as course materials, FAQs, and knowledge base articles, to effectively address student queries. Organize and share additional reading material like white papers, research papers, blog posts, and YouTube links to the learners can also share small assignments/ quizzes/ Code nuggets related posts to boost awareness related to the topic/course. Stay up-to-date with trends and technology related to that course. Monitor, track, and prepare reports as required by iON. Know when, how, and who to escalate to, in case of complex issues or concerns. Be familiar with the appropriate personnel (SME/ Delivery team). Experience Level In case of candidates from Academia : 3+ years experience in Learning or Education. Could have worked as Assistant Professors, Lecturers, Research Scholars. In case of general candidates: 4+ years of work experience. Need Proof of work at established orgs. Bachelors or more in related discipline or domain Min. Qualification B. Tech. (Technical) Post graduation pursuing
About the Role: We are looking for a highly experienced and hands-on Senior Data Analyst (AdTech) to lead our analytics team. This role is ideal for someone with a strong background in log-level data handling , cross-platform data engineering , and a solid command of modern BI tools . You'll play a key role in building scalable data pipelines, leading analytics strategy, and mentoring a team of analysts. Note: Shift Timings: 5PM - 2AM IST Key Responsibilities: Lead and mentor a team of data analysts, ensuring quality delivery and technical upskilling. Design, develop, and maintain scalable ETL/ELT pipelines using GCP tools (BigQuery, Dataflow, Cloud Composer, Cloud Functions, Pub/Sub). Ingest and process log-level data from platforms like Google Ad Manager, Google Analytics (GA4/UA), DV360, and other advertising and marketing tech sources. Build and optimize data pipelines from diverse sources via APIs, cloud connectors, and third-party tools (e.g., Supermetrics, Fivetran, Stitch). Integrate and manage data across multiple cloud platforms and data warehouses such as BigQuery, Snowflake, DOMO, and AWS (Redshift, S3). Own the creation of data models, data marts, and analytical layers to support dashboards and deep-dive analyses. Build and maintain scalable, intuitive dashboards using Looker Studio, Tableau, Power BI, or Looker. Partner with engineering, product, revenue ops, and client teams to gather requirements and drive strategic insights from data. Ensure data governance, security, and quality standards are followed across the analytics ecosystem. Required Qualifications: 4 - 6 years of experience in data analytics or data engineering roles, with at least 1 - 2 years in a leadership capacity. Deep expertise working with log-level AdTech data Google Ad Manager, Google Analytics, GA4, programmatic delivery logs, and campaign-level data. Strong knowledge of SQL and Google BigQuery for large-scale data querying and transformation. Hands-on experience building data pipelines using GCP tools (Dataflow, Composer, Cloud Functions, Pub/Sub, Cloud Storage). Proven experience integrating data from various APIs and third-party connectors. Experience working with multiple data warehouses: Snowflake, DOMO, AWS Redshift, etc. Strong skills in data visualization tools: Looker Studio, Tableau, Power BI, or Looker. Excellent stakeholder communication and documentation skills. Preferred Qualifications: Scripting experience in Python or JavaScript for automation and custom ETL development. Familiarity with version control (e.g., Git), CI/CD pipelines, and workflow orchestration. Exposure to privacy regulations and consent-based data handling in digital advertising (GDPR, CCPA). Experience working in agile environments and managing delivery timelines across multiple stakeholders.