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