Analyst

Atyeti Inc.; Mumbai; Hybrid; INR 1,500,000 - 1,900,000; Full time

Job summary

Atyeti Inc. in Mumbai is seeking a senior data analytics professional to join our finance analytics team. You will work with large datasets, craft data models, and deliver actionable insights using SQL, Python, and BI tools.

The role requires 5-8 years in analytics within financial services, exposure to asset or capital markets is preferred, and the ability to manage multiple priorities in a fast-paced environment.

Qualifications

• 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.

Skills

SQL

Python

PySpark

Data modelling

Analytical thinking

Attention to detail

Time management

Tools

Power BI

Tableau

Looker

Databricks

Snowflake

Job description

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.