Portfolio Analyst

Atyeti Inc.; Mumbai; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Atyeti Inc. in Mumbai, India is seeking an analytics professional with 5-8 years of experience in financial services to drive data insights and reporting. The role requires strong SQL, Python/PySpark, and expertise in BI tools such as Power BI, Tableau, or Looker.

Experience with data governance and metadata management is desirable, along with familiarity with cloud platforms like Databricks or Snowflake. You will work in a fast-paced environment supporting multiple priorities and collaborating

Qualifications

• 5-8 years of analytics, data, or quantitative experience in financial services.
• Exposure to asset management, private markets, or capital markets preferred.
• Strong SQL skills with experience on large and complex datasets.
• Proficiency in Python/PySpark or willingness to build expertise.
• 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 fast-paced environment and manage multiple priorities.
• Knowledge of data governance, controls, and metadata management.

Skills

SQL

Python/PySpark

Data modelling

BI tools

Power BI

Tableau

Looker

Data governance

Metadata management

Tools

Databricks

Snowflake

Streamlit

Job description

Knowledge and Experience Required

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 fast-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