Senior Analytics Consultant
Wells Fargo · Hyderabad · onsite · Posted 47d ago
Undisclosed4–9 yrsfulltimeSourced from
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About this role
Job Summary
Wells Fargo is seeking a Senior Analytics Consultant.
Responsibilities - Consult, review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors
- Perform moderately complex data analysis to support and drive strategic initiatives and business needs
- Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements
- Lead or participate on large cross group projects
- Mentor less experienced staff
- Collaborate and consult with peers, colleagues, external contractors, and mid-level managers to resolve issues and achieve goals
- Leverage a solid understanding of compliance and risk management requirements for supported area
- 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 4+ years of experience in Analytics, Data Engineering, AI/ML, or Risk Analytics with hands-on solution development and technical leadership.
- Expert-level Python proficiency (basic to advanced) for analytics, automation, anomaly detection, machine learning, agent development, and scalable monitoring platforms.
- Strong hands-on experience with LLMs, LLM APIs, Prompt Engineering, RAG architectures, and AI-powered analytics solutions.
- Experience designing and developing Agentic AI solutions, including multi-step reasoning, tool orchestration, workflow automation, and context management.
- Hands-on experience with Model Context Protocol (MCP) and integrating AI solutions across enterprise systems, applications, and data sources.
- Strong expertise in unstructured data analytics, NLP, anomaly detection, feature engineering, and risk signal extraction.
- Advanced SQL skills and experience working with large-scale structured and unstructured datasets.
- Experience building solutions on GCP and cloud-native analytics platforms.
- Proven experience leading SAS-to-Python modernization, analytics automation, and platform transformation initiatives.
- Strong understanding of analytics architecture, AI engineering, model governance, explainability, and production deployment standards.
- Experience developing custom agents, copilots, chat-based applications, or AI-enabled developer tools.
- Working knowledge of Node.js/TypeScript, Java-based services, and modern software engineering practices supporting AI platforms.
- Experience designing and reviewing visualizations using Power BI, Tableau, and Python.
- Demonstrated ability to lead complex technical initiatives, establish development standards, conduct code reviews, and mentor analytics and engineering teams.
- Proven ability to influence enterprise AI adoption and partner with senior leaders on technology roadmaps and scalable AI solutions.
- Demonstrate ability to execute effectively in a matrixed organization, develop partnerships with many business and functional areas.
- Demonstrate ability to build and maintain strong credible relationships with key stakeholder groups including executive management, regulatory examiners and internal auditors.
- Candidate must be willing to work at Bangalore or Hyderabad
- Candidate must be willing to work on mid-shift (1:30 PM - 10:30 PM), Mon - Fri, weekend off.
- Candidate must be willing to work onsite
Sourced from naukri
Skills
Automationapisadvanced sqlanalytics platformsAnalyticsAnomaly DetectionDeveloper ToolsData AnalyticsdeploymentData EngineeringcloudArchitecturedata analysiscomplianceCustomer RelationshipsAi SolutionsArtificial Intelligence
About Wells Fargo
Wells Fargo
Financial Services
20k+
employees
1852
174 years old
Bengaluru/Bangalore, Karnataka
India
About
Wells Fargo works to create positive social impact in the communities it serves by supporting housing affordability, small business growth, financial health, and a low-carbon economy.
Industries
Financial Services
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