Data Analyst

• Prepare and present reports with clear insights and recommendations to internal teams and external stakeholders.
• Collaborate directly with clients to resolve fraud issues, ensure compliance, and support decision-making.
• Work effectively under pressure, managing multiple priorities while maintaining high accuracy and attention to detail.

Cloud Engineer

• Knowledge of Salesforce Data Cloud: Data Management & Modeling-Data Stream, Data Lake Object, Data Model, Identity & Segmentation, Calculated Insights
• Basic Understanding of Administration of Salesforce Data Cloud: Managing user roles, permissions, External System Integration
• Proficiency in SQL and RDBMS concepts: Real project experience of writing SQL queries from scratch with good understanding of RDMS concepts to optimize queries as per requirements
• Strong in Data concepts for profiling and data object schema design (data modeling)
• Cross-Functional Collaboration: Partner with CRM, External Teams to design solutions and integrate Data Cloud with enterprise systems.
• Knowledge of Einstein and Agentforce related to Data Cloud
• Strong troubleshooting skills - ability to trace data issues end-to-end.

Salesforce Marketing Cloud Engineer

AI Engineer

• Design, develop, and deploy machine learning models tailored for healthcare use cases
• Leverage GCP services to build and maintain end-to-end AI pipelines
• Work with sensitive healthcare data ensuring compliance with HIPAA
• Collaborate with cross-functional teams to translate clinical requirements
• Act as a technical bridge for explaining AI concepts to non-technical stakeholders

Gen AI Developer

Manager

• Plan and execute risk-based internal audits across Finance, HR, and Facilities
• Evaluate design and operating effectiveness of controls
• Support development of the annual audit plan based on enterprise risk assessment
• Prepare audit committee presentations with clear insights and key risks
• Lead enterprise risk management projects and prepare board-level presentations

Senior Manager – Corporate Audit

Data Engineer

• Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.
• Build and maintain data integration workflows from various data sources to Snowflake.
• Write efficient and optimized SQL queries for data extraction and transformation.
• Work with stakeholders to understand business requirements and translate them into technical solutions.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Maintain and enforce data quality, governance, and documentation standards.
• Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.

Azure Data Engineer

Risk

• Accountable for monitoring and developing compliance risk management strategies for EXL operations.
• Take the lead in the development of compliance assessment and monitoring processes and controls to mitigate compliance risk.
• Conduct Compliance reviews and testing to identify areas of potential process improvement, gaps or trends and in coordination with other stakeholders, implement enhancements.
• Proactively recommend and implement updates to existing compliance policies and procedures and draft new policies and procedures as necessary, in consultation with leaders.
• Responsibility for monitoring and developing fraud risk strategies for EXL operations in accordance with COSO framework.
• Take the lead in the development of fraud processes, strategies and controls to mitigate fraud risk.
• Perform regular assessments to identify areas of potential process improvement, gaps or trends and in coordination with other stakeholders, implement enhancements.
• Evaluate/test EXL’s anti-fraud controls and make appropriate suggestions for enhancements to controls.
• Conduct targeted anti-fraud training as needed.

Manager – Fraud Risk

Recruitment

• Understand hiring needs; create/update job descriptions.
• Source candidates via job portals, LinkedIn, referrals, and networks.
• Screen resumes, conduct HR interviews, coordinate technical rounds.
• Manage interview scheduling and feedback.
• Handle offer negotiation, release offers, and complete pre‑onboarding checks.
• Ensure smooth onboarding and candidate experience.
• Maintain ATS data and provide recruitment reports.

Executive – Recruitment

Business Analyst

• Collaborate with business stakeholders to understand objectives, challenges, and requirements
• Document business requirements, functional specifications, and user stories
• Conduct workshops, interviews, and stakeholder meetings to gather and validate needs
• Translate business requirements into technical specifications for development teams
• Analyze data to identify trends, patterns, and business opportunities
• Develop dashboards, reports, and KPIs to track performance metrics
• Support data-driven decision-making using tools like Excel, SQL, Power BI, or Tableau
• Evaluate current business processes and identify inefficiencies
• Recommend and implement process optimization and automation solutions
• Act as a liaison between business users, IT teams, and vendors
• Ensure requirements are clearly understood and delivered accurately
• Participate in Agile/Scrum ceremonies (Sprint planning, stand-ups, retrospectives)

Consultant

• Support the different testing platform such as Graphical User Interface, Browser**2. Understanding the risk policy requirements and test the programs/codes the have been created to implement the strategy**3. Create and optimize the test script to ensure risk policy is thoroughly tested before it goes to production and document end to end testing support**4. The individual is expected to execute a sound testing methodology and support proficiency in defect management, work on post implementation validation, adapt to the emerging testing procedures**5. The individual would have to adhere to fast moving implementation schedule for multiple releases across the year

Consultant I – Fico Blaze Coding

Analyst

• Analyze data and generate reports to support decision-making
• Collaborate with cross-functional teams to gather data requirements
• Develop and implement data models and analytics solutions

Reserving, SAS/SQL Analyst

Product Manager

• Define product vision and align with strategy
• Own and prioritize the product backlog
• Drive quarterly planning and delivery expectations
• Collaborate with stakeholders, squads, and leadership
• Monitor product health and performance (KPIs)
• Remove blockers and ensure alignment across teams

Associate Product Owner

• Act as liaison between the technical and business teams.
• Should be able to connect with Client SME & understand Functionality, Data
• Should be able to do Data Profiling - Understand the quality of Data and critical Data elements- How to standardize Reference, and master data across systems
• Work Data mapping, Data lineage docs, data models, and design docs that allow stakeholders to understand data mappings & transformations

Business Data Analyst

QA Engineer

• Knowledge of Power Automate app performance monitoring and Azure performance monitoring tools/features, including performance optimization, diagnostics, and observability capabilities.
• Manage individual project priorities, deadlines, and deliverables.
• Design, develop, and execute performance test scripts/scenarios using Apache JMeter.
• Create workload models and execute load, stress, spike, endurance, Volume and scalability testing.
• Analyze latency and timeout root causes and provide recommendations for fixes.
• Analyze application performance bottlenecks and provide recommendations for optimization.
• Perform API performance testing to validate reliability, response times, and throughput of web services.
• Validate performance of ETL workflows using Informatica, including large-volume data processing and batch execution behavior.
• Design and execute performance test plans for applications hosted on Azure, Microsoft power Apps and other RPA tools.
• Monitor system/application performance using logs, dashboards, and available monitoring tools during execution.
• Communicate effectively with clients to gather non-functional requirements, provide updates, and address concerns.

Senior QA Engineer – Manual and Performance Testing

Client Partner

• Cultivate relationships with senior stakeholders, influencing decision-making, and ensuring alignment between client objectives and EXL service offerings
• Oversee deal structuring, negotiation, and execution to support business expansion
• Collaborate with delivery, solutioning, and domain teams to ensure seamless execution and client satisfaction
• Manage existing client relationships, elevate the client experience, and drive significant portfolio growth through strategic account planning and solution delivery

Data Analyst

Salesforce Marketing Cloud Engineer

Gen AI Developer

Senior Manager – Corporate Audit

Azure Data Engineer

Manager – Fraud Risk

Executive – Recruitment

Business Analyst

Consultant I – Fico Blaze Coding

Reserving, SAS/SQL Analyst

Associate Product Owner

Business Analyst

Business Data Analyst

Senior QA Engineer – Manual and Performance Testing

Senior Associate Vice President – Client Partner, Banking & Capital Markets