RingCentral

Senior BI Analyst

RingCentral

full-time

Posted on:

Location Type: Remote

Location: India

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About the role

  • Define the AI-driven financial analytics roadmap integrating BI, data science, and conversational AI
  • Lead a team of BI developers, data engineers, and ML engineers to deliver enterprise-grade financial AI systems
  • Partner with Finance, IT, and Cloud Engineering teams to scale the Fin Chatbot platform
  • Architect and deploy chatbots using Vertex AI (Search, Chat, Agent Builder) or AWS Bedrock + Lex + Kendra
  • Build front-end conversational interfaces using Streamlit (mandatory) and/or React/Next.js, hosted via Cloud Run / AWS ECS / Fargate
  • Integrate LLMs (Gemini, GPT, Claude, or Titan) for natural language financial analysis, summarization, and forecasting
  • Connect data sources from BigQuery / Snowflake / Redshift and cloud storage for contextual Q&A and retrieval
  • Design and manage ETL/ELT pipelines using Dataflow / Glue / Airflow / dbt
  • Ensure robust data governance, lineage, and access control across ERP and analytics systems
  • Integrate with Netsuite, SAP, or Workday Adaptive for real-time financial data ingestion
  • Develop AI-powered forecasting and anomaly detection models using Python (mandatory), PySpark, and Vertex AI / SageMaker
  • Implement RAG pipelines using LangChain, FAISS, or Elasticsearch
  • Deploy microservices using FastAPI / Flask, containerized with Docker / Kubernetes (GKE/EKS)
  • Manage CI/CD pipelines with Cloud Build / AWS CodePipeline
  • Implement FinOps cost monitoring and AI performance governance
  • Ensure compliance with financial data privacy and security policies

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Analytics, or related field
  • 12+ years of experience in financial analytics, BI, or data strategy, with at least 5+ years in a managerial/leadership role
  • Mandatory: Proficiency in Python and Streamlit for application and chatbot development
  • Strong experience with GCP (Vertex AI, BigQuery, Cloud Run) and/or AWS (Bedrock, SageMaker, Redshift, Lambda)
  • Expertise in SQL, PySpark, APIs, and data modeling
  • Proven success in building conversational AI or analytical automation platforms
  • Exceptional communication and stakeholder management skills, with the ability to influence at the executive level
Benefits
  • Comprehensive medical, dental, vision, disability, life and pet insurance
  • Flexible PTO
  • 401K match and ESPP
  • Wellness programs including virtual yoga, bootcamp, meditation classes and more
  • Paid parental leave
  • Milk Stork parental account
  • New parent gift box
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonStreamlitSQLPySparkETLELTdata modelingconversational AIanomaly detectionfinancial analytics
Soft Skills
communicationstakeholder managementleadershipinfluence
Certifications
Bachelor’s degreeMaster’s degree