Role & responsibilities

Core Skills and Experience:

- 5-8 years of experience in analytics, data, or quantitative roles within financial services.
- Exposure to asset management, private markets, or capital markets (preferred but not mandatory).
- Strong SQL skills with experience working on large and complex datasets.
- Proficiency in Python / PySpark or willingness to build expertise in programming.
- Experience in data modelling for analytics or reporting use cases.
- Hands-on experience with BI/visualization tools (Power BI, Tableau, Looker, etc.).
- Strong analytical thinking, problem-solving ability, and attention to detail.
- Ability to work in a quick-paced environment and manage multiple priorities.
- Knowledge of data governance, controls, and metadata management.





Preferred (but not essential) experience:

- Experience working with Databricks, Snowflake, or similar cloud data platforms.
- Understanding of data pipelines, ETL processes, or lakehouse architectures.
- Knowledge in coding best practices, testing, version control, and automating recurring analytics processes
- Experience with building light tools and applications using SQL, Python (eg. Streamlit)
- Exposure to private markets datasets or fund analytics.
- Prior experience mentoring or leading small teams.

📌 Python Fullstack Developer (Mumbai)
🏢 Atyeti
📍 Mumbai