Data Analytics Trainee - Fresher
About the job: As a Data Analytics Trainee at InstaRecruit, you will have the opportunity to work with cutting-edge technologies and develop your skills in Python, SQL, Data Analytics, MS-Excel, Data Science, and Power BI. Join our dynamic team and be a part of our exciting journey towards revolutionizing the recruitment industry. 1. Assist in collecting, analyzing, and interpreting large datasets to provide valuable insights for decision-making processes. 2. Develop and maintain data visualization dashboards using Power BI to effectively communicate key findings to stakeholders. 3. Collaborate with the Data Analytics team to identify trends, patterns, and opportunities for improvement within our recruitment processes. 4. Support in designing and implementing data-driven strategies to optimize recruitment efforts and enhance candidate experience. 5. Conduct in-depth data analysis to identify areas of improvement and provide recommendations for operational efficiency. 6. Assist in building predictive models and algorithms to forecast future recruitment trends and outcomes. 7. Stay updated on the latest trends and technologies in data analytics to continuously enhance your skills and contribute to the growth of the company. If you are a passionate and driven individual with a strong foundation in data analytics and a desire to learn and grow in a fast-paced environment, we want you to join our team at InstaRecruit. Apply now and take the first step towards an exciting career in data analytics! Who can apply: Only those candidates can apply who: Salary: ₹ 2,00,000 - 3,00,000 /year Experience: 0 year(s) Deadline: 2025-08-25 23:59:59 Skills required: Python, SQL, Data Analytics, MS-Excel, Data Science and Power BI About Company: We are specialized in providing end-to-end recruitment solutions for IT, non-IT & all the sectors like media, advertising, digital studios, health, and fitness studio, real estate, BFSI, education, transportation, logistics, and hospitality four-star, five-star hotels, standalone' s and many other sectors (PAN India).
