Tiger Analytics

QA Engineer

• Own and drive end-to-end sales cycles for large QE opportunities (USD 5M+)
• Consistently achieve and exceed annual QE revenue targets
• Build and maintain a strong pipeline of exclusive and sole-sourced QE deals
• Drive long-term managed services, annuity-based, and transformation-led QE engagements
• Collaborate with the account Client Partners and enabled channels for QE
• Create RFP, RFI, and RFQ responses for QE opportunities
• Shape differentiated QE solution strategies covering automation, AI-driven QE, QE for AI, performance engineering testing, data testing, and continuous testing
• Drive pricing, commercials, value engineering, and deal structuring
• Collaborate closely with capability/practice and delivery teams to create winning proposals
• Build trusted advisor relationships with CXOs, CIOs, CTOs, Heads of Engineering, and Quality Engineering Leaders
• Act as executive sponsor for strategic QE accounts
• Lead executive presentations and contract negotiations
• Position QE as a business enabler and AI-led transformation driver
• Represent the organization in industry QE forums, conferences, roundtables, and client events
• Publish thought leadership content, including blogs, whitepapers, and articles on Quality Engineering, AI in testing, and digital quality trends
• Partner with the India practice & capability team and marketing teams on QE branding, campaigns, analyst interactions, and GTM initiatives
• Contribute to QE marketing strategies and market messaging
• Identify emerging QE trends and influence service offerings and roadmap with the capability development team

Client Partner – Quality Engineering

Business Analyst

• Engage proactively with client stakeholders to gather, analyze, and document **technical and business requirements**
• Facilitate workshops, meetings, and discussions to understand **data flows, system integrations, and process dependencies**
• Translate business needs into **clear functional and technical specifications**
• Collaborate closely with engineering, architecture, and program management teams to drive delivery
• Support **program and project management** activities including planning, tracking, and risk management
• Create and maintain **process flows, system diagrams, and architecture visuals** using **Microsoft Visio**
• Provide insights and recommendations aligned with **AWS-based solutions and cloud best practices**
• Ensure requirements traceability throughout the project lifecycle
• Communicate effectively across technical and non-technical audiences

Technical Business Analyst

Data Scientist

• Design, develop, and deploy advanced forecasting models (ARIMA, SARIMA, Prophet, and other time series techniques) for healthcare-related use cases including PMPM forecasting.
• Analyze structured and large-scale healthcare datasets (claims, membership, utilization, cost data) to generate actionable insights.
• Build scalable, production-ready ML pipelines and automate forecasting workflows.
• Perform model validation, back-testing, hyperparameter tuning, and performance monitoring to ensure accuracy and stability.
• Translate business problems into data science solutions and clearly communicate findings to clients and stakeholders.
• Lead end-to-end project execution, mentor junior data scientists, and ensure best practices in modeling and MLOps.
• Collaborate cross-functionally with engineering, product, and business teams to drive data-driven decision-making.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Lead Data Scientist

AI Engineer

• Building high-performance API services
• Implementing complex RAG and Agentic AI architectures

Full Stack Gen AI Engineer

Consultant

• Work in a consulting engagements focused on leveraging Data Science/Advanced Analytics to solve complex business problems in banking risk and compliance.
• Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.
• Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.
• Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.

Senior Consultant/Manager - Analytics Consulting - Banking

• Work in consulting engagements focused on leveraging Data Science/Advanced Analytics to solve complex business problems in banking risk and compliance.
• Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.
• Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.
• Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.

Client Partner – Quality Engineering

Technical Business Analyst

Lead Data Scientist

Full Stack Gen AI Engineer

Senior Consultant/Manager - Analytics Consulting - Banking

Senior Consultant/Manager – Analytics Consulting, Banking