Data Analyst

Role Overview

We are seeking a Data Analyst with strong AI/LLM expertise to unlock insights from complex datasets and build intelligent analytics solutions. The ideal candidate will primarily focus on data preparation, analysis, visualization, and providing insights, while leveraging LLMs, RAG pipelines, and automation tools to enhance analytical outcomes, streamline workflows, and support decision-making.

Experienc

• e2+ years of experience in Data Analytics / Business Intelligenc
• eDemonstrable AI/LLM experience in at least 2 projects (e.g., prompt engineering, RAG pipelines, AI-powered workflows

)
Key Responsibiliti

es
1. Data Analytics & Insig

htsAnalyze structured and unstructured datasets. Build dashboards, reports, and visualizations to communicate insights effectively to business tea

ms.Skills Requir

• ed:Strong expertise in Python (e.g., Pandas, Num
• Py)Experience with data visualization tools (Tableau, Power BI, Appsmith preferr
• ed)Proficiency in statistical and analytical meth
• odsInsight generat

ion
2. Data Preparation & RAG Pipel

inesPrepare, clean, and structure datasets for LLM applications, and implement Retrieval-Augmented Generation (RAG) pipelines with vector databases to ensure accurate, context-rich, and reliable AI outp

uts.Skills Requi

• red:Strong expertise in Python for AI-Enhanced Analytics (PyPDF2/pdfplumber, BeautifulSoup/Selen
• ium)Knowledge of Vector Databases (e.g., Pinecone, Weavi

ate)
3. Prompt, Context Engineering & Process Document

ationDevelop and document Standard Operating Procedures (SOPs) for key business processes, and leverage them as a foundation for designing, refining, and optimizing prompts for LLM-powered applications. Apply effective context management techniques to maximize the use of limited context windows, ensuring accuracy, consistency, and reliable automation outc

omes.
4. Evaluation & Moni

toringEstablish frameworks for evaluating LLMs and prompts; set up real-time monitoring of model performance, accuracy, and drift in produ

ction.Skills Req

• uired:Proficiency in LLM prompt engineering and Context Engin
• eeringGood to have
• : DspyUnderstanding of evaluation m

etrics
5. Automation Wo

rkflowsDesign, orchestrate, and manage automation pipelines in n8n, integrating AI models into business oper

ations.Skills Re

• quired:Familiarity with workflow automation tools (n8n, Airflow, Zapier as

a plus)
Good to Hav

• e SkillsHands-on experience with any workflow automation
• softwareFamiliarity with Appsmith or similar dashboa

rd tools
What Kind of Person We Are Lo

• oking ForAI-Enabled Analyst: Sees AI as an enabler for better data analysis, not as the end goal. Ensures analytics remains the foundation, and AI is applied where it adds real busin
• ess valueProblem-Solving Mindset: Strong problem-solving mindset with the ability to transform raw data into actionable
• insightsCollaboration & Communication: Works seamlessly across engineering, product, and business teams, translating technical concepts into clear, actionable insights that stakeholders can understand and
• act uponResearch & Innovation: Stays ahead of the curve with the latest advancements in Data Analytics, Generative AI, LLMs, and automation technologies to continuously bring innovation into fintech app