Data Science - Technical Analyst

About Hero Vired:Would you like to be part of an exciting, innovative, and high-growth startup from one of the largest and most well-respected business houses in the country - the Hero GroupHero Vired is a premium learning experience offering industry-relevant programs and world-class partnerships, to create the change-makers of tomorrow.At Hero Vired, we believe everyone is made of big things. With the experience, knowledge, and expertise of the Hero Group, Hero Vired is on a mission to change the way we learn. Hero Vired aims to give learners the knowledge, skills, and expertise through deeply engaged and holistic experiences, closely mapped with industry to empower them to transform their aspirations into reality. The focus will be on disrupting and reimagining university education & skilling for working professionals by offering high-impact online certification and degree programs.The illustrious and renowned US5 billion diversified Hero Group is a conglomerate of Indian companies with primary interests and operations in automotive manufacturing, financing, renewable energy, electronics manufacturing, and education. The Hero Group (BML Munjal family) companies include Hero MotoCorp, Hero FinCorp, Hero Future Energies, Rockman Industries, Hero Electronix, Hero Mindmine, and the BML Munjal University.For detailed information, visit Hero ViredRole : Technical Analyst Data ScienceJob Type: Full Time (Work From Office)Location: Delhi/NCRExperience: 1 - 2 yearsRole Overview As a Technical Analyst (TA) for the Data Science Programs, you will play an essential role in enhancing the academic experience of our learners. You will support faculty during live classes, resolve learner doubts, evaluate assignments, and ensure high learner engagement and success across data science andresolving technical issues, and highlighting common doubts.Doubt Resolution: Provide timely academic support on forums, emails, and during scheduled doubt-clearing sessions for topics such as Python, SQL, Power BI, Excel, Statistics, and ML.Assignment & Project Evaluation: Grade submissions with attention to detail and offer constructive feedback based on rubrics.Learner Tracking: Monitor learner performance, identify those at risk, and share timely reports with the academic team.Capstone Guidance: Assist in guiding learners through capstone projects and case-based assignments aligned with industry use cases.Content and Platform Support: Help update course material, quizzes, solutions, and ensure LMS hygiene.Engagement and Feedback: Foster community interaction on discussion forums and collect feedback to improve learning outcomes.Required Skills & Qualifications:Bachelors or Masters degree in Data Science, Business Analytics, Computer Science, Statistics, or a related field.Mandatory Skills:Tools: Python, SQL, Excel, Power BI/TableauConcepts: Descriptive & inferential statistics, data visualization, supervised and unsupervised ML, business problem-solving with dataPreferred Skills:Data Engineering, Deep Learning, TensorFlow, Keras, Airflow, Azure, DataBricks, Hadoop, Mongo DB, Cassandra, Flink etc.Prior teaching, mentoring, or peer instruction experience is highly desirable.Excellent verbal and written communication skills.Ability to explain complex topics clearly to early-career professionals.Preferred Experience:12 years of industry experience in analytics or data science roles.Familiarity with learning platforms (e.g., Moodle, Zoom).