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Senior BI Analyst
Location
Brazil
Posted
85 days ago
Salary
0
Seniority
Senior
Job Description
Senior BI Analyst
Qintess
• Lead, together with the squad, the design and evolution of backend AI components • Define and standardize: API contracts (REST) • Response structures • Traceability and evidence • Design and implement flows: Synchronous (e.g., real-time chat) • Asynchronous (e.g., batch ingestion and reprocessing) • Develop and optimize LLM inference services • Create and maintain RAG (Retrieval-Augmented Generation) pipelines • Manage the lifecycle of data and indices • Continuously monitor systems • Ensure compliance with: LGPD • Support requirements definition and technical communication with stakeholders
Job Requirements
- Minimum of 5 years of experience in the field
- Hands-on experience with applied Machine Learning
- Generative AI (LLMs)
- Architectures with RAG
- Experience in production environments with: Monitoring
- Logs and metrics
- Incident management
- SLOs
- Advanced Python (for AI)
- Prompt Engineering
- NLP and embeddings
- API architecture & integration (REST)
- Service-based architectures
- Docker infrastructure
- Containerized environments (e.g., Nomad)
- GPU-based execution
- Data and Search
- Vector databases (e.g., Milvus)
- Hybrid search (e.g., Elasticsearch)
- Index modeling, metadata, and scalability
- Engineering and DevOps: Git / GitFlow / GitLab CI/CD
- Best practices for code, testing, and documentation
Benefits
- Flexible working hours
- Professional development
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Senior Treasury Business Intelligence Analyst
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• Drive the execution and automation of the back-office. • Own the end-to-end delivery of reconciliations, reporting, cash positioning, and administrative bank processes, while designing and implementing scalable automation solutions (RPA, AI, Python, TMS tools) to replace manual workflows, improve accuracy and timeliness, strengthen controls, and support a growing, multi-country treasury environment. • Automation of Liquidity Management: Implement advanced analytical tools and automation solutions to enhance liquidity forecasting and management. Utilize AI and machine learning models to predict cash flow trends and optimize cash holdings, improving the accuracy of standardized reporting across different regions. • Innovative Cash Forecasting Techniques: Leverage cutting-edge technology such as predictive analytics and AI to refine cash forecasting models. Develop innovative approaches for integrating real-time data into forecasting processes, enabling proactive cash management and performance measurement through dynamic KPIs. • Banking Relations: Effectively partner with external relationship banks, consultants and advisors to successfully execute treasury operations and strategy. • Process Innovation for Treasury Operations: Drive the adoption of process automation tools such as RPA (Robotic Process Automation) and AI (Artificial Intelligence) to reduce manual processes, enhance accuracy, and improve operational efficiency in global treasury operations. • Country operationalizations: lead or assist with the country operationalizations by assisting the various teams (IO, Payments, Payroll and Accounting) with the intercompany loans setup & registrations, e-banking users and 1st penny tests. • Advanced Reporting Tools: Utilize business intelligence platforms to automate cash position reporting and analysis. Employ visualization tools to present complex data in an accessible format, providing strategic insights into cash flow trends and decision-making support. • Investment & Debt Activities: Collaborate with the treasury team on short-term investments or borrowing based on cash surplus or deficit projections. • Risk Management: Monitor and manage risks related to cash positions, including fraud risks. Ensure compliance with internal controls and procedures. • Leveraging New Technologies for System Optimization: Continually evaluate and adopt new technologies such as cloud-based treasury management systems (TMS) to improve functionality, data integration, and user experience. • Project Involvement: Participate in or lead projects related to cash management, banking transitions, system implementations, etc. • Cross-Functional Collaboration: Work with various departments such as finance, accounting, operations, and procurement to gather data and understand cash flow implications. • Training and support for new team members: Train and support new team members joining the treasury function, ensuring a smooth onboarding process and fostering a collaborative and knowledgeable team environment.
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Senior Treasury Business Intelligence Analyst
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