
Senior BI Analyst
RingCentral
full-time
Posted on:
Location Type: Remote
Location: India
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Job Level
Tech Stack
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