Medanta Hospital - Microsoft Business Intelligence Engineer - Data Analytics (4-8 yrs)

Role : MSBI Sr.Developer / Lead Developer

Education : MCA, B.Tech preferred

Work Days : 6 days a week

Job Summary :

We are looking for a highly skilled Data Analyst with 3-5 years of experience in data analysis, statistical modeling, and AI-driven insights.

The ideal candidate will have expertise in handling large datasets, building analytical models, and leveraging AI/ML techniques to drive business decisions.

Key Responsibilities :

- Collect, clean, and analyze large datasets to generate actionable insights.

- Develop and maintain dashboards, reports, and data visualizations.

- Utilize AI and machine learning algorithms to enhance data analysis and predictive modeling.

- Collaborate with cross-functional teams to understand business requirements and implement data-driven solutions.

- Perform statistical analysis and hypothesis testing to support strategic decisions.

- Automate data collection, preprocessing, and reporting processes.

- Ensure data accuracy, integrity, and security in all analytics processes.

- Stay up to date with the latest trends and advancements in AI and data analytics.

Required Skills & Qualifications :

- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.

- 3-5 years of experience in data analysis, business intelligence, or related roles.

- Proficiency in SQL, Python, or R for data manipulation and analysis.

- Experience with AI/ML models, deep learning frameworks (TensorFlow, PyTorch), and predictive analytics.

- Strong experience in visualization tools such as Tableau, Power BI, or similar.

- Knowledge of cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop) is a plus.

- Strong problem-solving and analytical thinking abilities.

- Excellent communication and stakeholder management skills.

Preferred Qualifications :

- Experience in NLP, Computer Vision, or other AI subfields.

- Exposure to A/B testing, time series forecasting, and optimization techniques.

- Familiarity with data engineering pipelines and ETL processes