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Sr Associate Data analytics

30+ days ago 2026/08/08
Other Business Support Services
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Job description

Career CategoryFinanceJob Description

Senior Associate Data Analytics

We are seekingsomeone from finance background withtechnically strong, automation-focused professional (4+years’ experience) to help modernize and scale ourfinanceanalytics capabilitiesusingAI, intelligent automation, and advanced analytics engineering.



This role will focus on:



  • Building automation pipelines using Python and workflow tools (e.g., n8n)



  • Designing and deploying AI agents usingLang Chainand GenAI technologies



  • Developing structured prompt frameworks to support financial and transformation analytics use cases



  • Creating scalable insight-generation systems to accelerate scenario modeling and value tracking



  • Integrating AI-powered workflows into transformation decision processes



The ideal candidate combines strong Python and data skills with hands-on experience in AI agent development, prompt engineering, and workflow automation, along with the ability to translate business problems into scalable technical solutions.



Key Responsibilities



1. Automation & Workflow Engineering



  • Design and implement automated analytics pipelines using Python



  • Build workflow orchestration using tools such as n8n



  • Automateworkflows, validation checks, and reporting processes



  • Develop alerting and monitoring systems for data quality and anomalies



2. AI Agent Development



  • Build and deploy AI agents usingLang Chain(or similar frameworks)



  • Design tool-enabled agents capable of:



  • Querying structured financial/operational datasets




  • Generating scenario commentary



  • Producing executive-ready insights



  • Implement retrieval-augmented generation (RAG) architectures



  • Integrate(speech to speech, text to speech, speech to text)AI agents into reporting workflows and business processes



3. Prompt Engineering & LLM Optimization



  • Develop structured prompt frameworks fortransformation ofanalytics use cases



  • Create reusable prompt templates for financial analysis and scenario modeling



  • Control hallucination risks using validation layers and tool-based calculations



  • Optimizemodel usage for cost, latency, and reliability



4. Analytics & Modeling Support



  • Collaborate with stakeholders to convert business problems into analytical solutions



  • Applying data science, machine learning, and statistical techniques to enhance modeling, scenario simulations, and value forecasting



  • Ensuringoutputs are transformation-ready and decision-relevant



5. Cross-Functional Collaboration



  • Partner with finance, transformation, and analytics stakeholders



  • Support adoption and training for automation and AI solutions



Required Qualifications



  • 4- 8 years of experience infinance,analytics, automation, or applied AI




  • Strong Python programming skills (pandas, APIs, data processing)



  • Hands-on experience withLang Chainor similar agent frameworks



  • Experience building AI agents or LLM-powered applications



  • Experience with workflow automation tools such as n8n



  • Working knowledge of GenAI tools (e.g., OpenAI / ChatGPT APIs)



  • Strong prompt engineering capabilities



  • Experience handling structured financial or operational datasets



  • Solid understanding of transformation analytics or performance measurement frameworks



  • Strong communicationand stakeholder collaboration skills



Technical Skill Requirements



Core:



  • Python



  • SQL



  • Lang Chain(or equivalent agent frameworks)



  • n8n (or similar orchestration tools)



  • OpenAI / GenAI API integrations



  • Prompt engineering




Preferred:



  • Vector databases (FAISS, Pinecone, etc.)



  • Power BI or Tableau



  • Databricks or cloud-based data platforms



  • Experience with scenario modeling frameworks



  • Experience working in finance or transformation environments



Education/ Prior Employment Qualifications:



  • Master’s degree in data scienceorAI or Machine learningorfinance orrelated fields& 3yearsof Automation & AIdevelopment experience 



  • Bachelor’s degree infinance,computer science or information technology or information systemsor related fields& 4 + yearsof Automation & AIdevelopment experience 



  • Diplomainfinance, technologyor related fieldsand4to5yearsof Automation & AIdevelopment experience






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