Manager Data Analytics

• Python:
• Hands-on experience with core data analytics libraries such as NumPy, Pandas, Streamlit, PyODBC, Matplotlib, Seaborn and PyWin32 etc.
• Competence in developing basic applications or APIs using frameworks like Flask or Django, with a focus on working with data frames.
• Strong skills in data manipulation, including parsing JSON data.

• SQL:
• Proficiency in creating complex queries, stored procedures, materialized views, and scheduling tasks etc.

Qualifications and Experience: BCA/B Tech with 5-6 years of relevant industry experience