Data Analyst

Job Description 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) 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. Experience Requirements Requirement Details: Total Experience 5+ years in Data Analysis 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 Non-Technical / Soft Skills 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 Qualifications Bachelor of Computer Science #J-18808-Ljbffr