Data Analyst

Data Analyst / Modeler

Role Overview

This position targets a Data Analyst/ Modeler with a strong foundation in large-scale data processing. The role demands both depth (hands-on expertise) and breadth (end-to-end understanding) understanding of Data and Financial services product.

Note : While the profile is similar to both , for the modeler I would be focusing on data model creation while the data analyst will be less on modeling.

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Experience Requirements

Requirement Details

Total Experience 5+ years in Data Analysis

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Core Technical Skills

Programming Languages

• Python

Data Formats

• XML, JSON, Parquet, Avro, Protobuf - Familiarity with multiple serialization/storage formats

️ Data & Query

• SQL - Strong query building, analysis, troubleshooting, and optimization skills

Business Knowledge

• Financial Instruments - Understanding of financial instruments especially Derivative products
• Data modeling - Understanding of data modeling for Journals and accounting will be a good skill

AI & Productivity Tools

• Ability to leverage AI tools (e.g., GitHub Copilot, ChatGPT or equivalent) to accelerate data queries , reporting and analysis

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Non-Technical / Soft Skills

Skill Area Description

Performance Engineering Analysis, troubleshooting, and resolution of system performance issues

Multi-tasking Ability to work under pressure in a fast-paced environment

Learning Agility Proactive, enthusiastic, willing to learn and apply new concepts quickly

Problem Solving Demonstrated analytical and structured problem-solving skills

Adaptability Dynamic, flexible, high energy

Salary Range: $100,000 to $125,000 per year