Consultant

• Strong hands-on experience with Microsoft Power BI (Desktop & Service) for reporting, data analysis, and visualization
• Design, develop, and deploy interactive, user-friendly, and visually compelling Power BI dashboards and reports
• Connect to multiple data sources and perform efficient data modeling using best practices
• Write complex SQL queries to extract, transform, and validate data from relational databases
• Develop and optimize data models using DAX (calculated columns, measures, KPIs, performance metrics)
• Perform data cleansing, transformation, and integration using Power Query (M Language)
• Manage scheduled data refreshes, monitor refresh failures, and resolve related issues
• Implement Row-Level Security (RLS) to manage user access and ensure data security
• Collaborate with business stakeholders to gather requirements and translate them into functional and technical specifications
• Ensure data accuracy, consistency, governance, security, and performance optimization of reports
• Maintain proper documentation for dashboards, reports, data models, and development workflows
• Troubleshoot and resolve data discrepancies, performance bottlenecks, and report-related issues
• Demonstrate excellent analytical thinking, organizational skills, prioritization ability, and strong verbal/written communication skills

Consultant II

Manager

• Own end‑to‑end delivery of daily, weekly, and monthly MIS reports for operations and leadership
• Design and maintain dashboards, scorecards, and KPI trackers
• Ensure 100% accuracy, timeliness, and consistency of reporting
• Analyze trends, productivity, SLA, efficiency, and performance metrics
• Highlight risks, opportunities, and actionable insights for business leaders
• Support client and internal reviews with meaningful data narratives
• Drive automation of recurring MIS using Excel VBA, Power BI, SQL, or Power Automate
• Reduce manual effort and TAT through process improvements
• Support migration from spreadsheet‑based reporting to BI platforms
• Work closely with Operations, Analytics, Finance, HR, and IT teams
• Translate business requirements into reporting solutions
• Act as single point of contact for MIS for assigned accounts/programs
• Manage and review work of MIS analysts/executives
• Ensure adherence to SLAs, quality benchmarks, and best practices
• Coach team members on reporting standards and analytics skills
• Maintain data definitions, SOPs, and documentation
• Ensure compliance with EXL data security, audit, and client requirements

Manager, MIS

Data Scientist

• Develop and deploy fraud detection models for insurance claims using statistical and machine learning techniques
• Perform exploratory data analysis (EDA), feature engineering, and hypothesis testing to identify fraud patterns and anomalies
• Build, evaluate, and optimize traditional statistical models as well as tree‑based models such as Random Forest, XGBoost, CatBoost, LightGBM etc.
• Independently conduct data analysis, research, and model experimentation, and translate findings into actionable insights
• Write clean, efficient, and production‑ready code using Python and SQL
• Work extensively with large datasets using cloud platforms, primarily Google Cloud Platform (GCP)
• Query and manage data using BigQuery, and handle datasets stored in Cloud Storage (Buckets)
• Use Git for version control, collaboration, and code review
• Prepare clear, concise, and impactful presentations for clients, explaining analytical findings to both technical and non‑technical stakeholders
• Collaborate with business, data engineering, and client teams to ensure models align with fraud investigation and business objectives

Data Engineer

• Understand and translate business needs into data models supporting long-term solutions.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Analyse data-related system integration challenges and propose appropriate solutions.
• Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other data related considerations to ensure business value).

AWS Data Engineer

• Understand and translate business needs into data models supporting long-term **
• solutions. **
• Perform reverse engineering of physical data models from databases and SQL **
• scripts. **
• Analyse data-related system integration challenges and propose appropriate **
• solutions. **
• Assist with and support setting the data architecture direction (including data **
• movement approach, architecture/technology strategy, and any other data**
• related considerations to ensure business value). **

Frontend Engineer

• Design UX/UI for a web application in Power Apps: create user flows, wireframes, and screen layouts that prioritize clarity and usability.
• Build and configure Power Apps (Canvas app preferred) for responsive, modern web experiences (navigation patterns, forms, components, theming).
• Implement search and browse user experiences: filters, sorting, keyword search patterns, empty/error states, and clear results presentation.
• Create reusable UI components (component libraries, templates, consistent styling) to ensure scalability and speed of iteration.
• Integrate with data sources (e.g., Dataverse, SharePoint, SQL, APIs via connectors) and coordinate data contracts with backend/data owners.
• Optimize performance and usability: reduce load times, streamline formulas, manage delegation, and ensure responsiveness across devices/browsers where applicable.
• Ensure accessibility and design quality: implement accessible controls, keyboard navigation considerations, readable layouts, and consistent visual hierarchy.
• Collaborate and communicate effectively: run requirement discovery sessions, propose UX options, iterate quickly based on feedback, and document decisions.
• Maintain quality and reliability: testing, debugging, versioning, environment promotion support (Dev/Test/Prod), and adherence to platform governance.

Frontend Developer – Power Apps

Engineer

• Build and manage BI infrastructure using **Infrastructure as Code (Terraform)**
• Deploy and operate BI workloads on **Kubernetes, Red Hat OpenShift, and ARO**
• Implement **CI/CD pipelines** using **GitHub** for BI and platform deployments
• Manage **YAML-based configurations** for Kubernetes/OpenShift workloads
• Enable hybrid and cloud analytics architectures (On-prem ↔ Cloud)
• Ensure platform security, RBAC, monitoring, and operational stability

Platforms Engineer

• Assist in preparation of critical documentation like Operations Standard Document (OSD), BISRA (Business Information Security Risk Assessment) etc. for assigned business/operations area.
• Implement controls in operational areas as defined by OSD, contractual requirements and other policies. Liaise with other corporate functions for implementation of EXL policies and procedures.
• Perform and design compliance/audit reviews for assigned business/operations area.
• Monitor risks & controls. Identify/report exceptions and action plans.
• Drive awareness and trainings on key risk and compliance aspects (L&D trainings, corporate trainings and other external/internal trainings).
• Overall responsibility for ‘Compliance Self-assessment’ exercise.
• Facilitate timely closure of issues identified in internal/external audits/reviews.

Lead Assistant Manager – F&A

• Design, build, and maintain scalable, secure, and high-performance data pipelines on GCP.
• Develop and manage ETL/ELT workflows using Python, SQL, Cloud Composer, and DataProc.
• Create and optimize enterprise-grade data models and storage solutions using BigQuery.
• Partner with Data Science teams to support model development, experimentation, feature engineering, and ML pipeline deployment, including leveraging Vertex AI.
• Set up and maintain CI/CD pipelines using GitHub Actions, ensuring automated testing, versioning, and deployment of data workflows.
• Use GKE to orchestrate containerized data applications and services.
• Implement best practices in data quality, version control, monitoring, and performance tuning.
• Collaborate with cross-functional teams (Product, Engineering, Data Science, Business) to translate data needs into technical solutions.
• Ensure data governance, security, and compliance with enterprise and regulatory standards.

GCP Data Engineer

• Design, build, and deploy LLM-based solutions on Snowflake, leveraging Cortex AI functions (e.g., Snowflake LLM inference, fine-tuning, embeddings).
• Create custom LLM pipelines using Snowpark ML and external models integrated through Snowflake.
• Build and operationalize machine learning models, including NLP, predictive modeling, generative AI, and recommendation systems.
• Develop and apply prompt engineering, RAG pipelines, and semantic search patterns using Snowflake features and Vector Embeddings.
• Conduct exploratory data analysis (EDA), feature engineering, and statistical modeling using Snowflake & Snowpark Python.
• Deploy, monitor, and optimize model performance directly within the Snowflake environment.
• Integrate Snowflake ML solutions with cloud platforms (GCP) and downstream applications.
• Work with business stakeholders, product teams, and analytics leaders to identify opportunities for AI-driven transformation.
• Deliver high-quality, interpretable insights and communicate complex technical results to non-technical audiences.
• Partner with data engineers, architects, and analysts to build end-to-end Snowflake-native AI solutions.

Data Scientist, SnowFlake

Insurance

• Experience in claims FNOL claim set up and bill payments
• Review and identify different types of US legal documents/Claim documents
• Ensure that transactions are processed as per procedures
• Achieve individual productivity and quality goals
• Participate in training initiatives to develop knowledge
• Integrate procedural changes into daily routine

Insurance Claims

Solutions Engineer

• Designing, developing and delivering analytics, forecasting, reporting and data management solutions for Banking & Financial Services use cases.
• Building and maintaining solutions across SAS Grid / SAS Platform 9 environments, including Hadoop-based ecosystems.
• Developing, maintaining and optimising end-to-end ETL processes, data pipelines, models and analytical frameworks.
• Producing high-quality reports and reusable reporting solutions aligned to business requirements.
• Supporting strategic analysis and insight generation to enable informed decision-making.
• Acting as a solutions developer, shaping and delivering pragmatic solutions where requirements fall outside standard platform scope.
• Working with SQL-based data sources and collaborating with data engineering teams, including exposure to Databricks and Python where required.
• Providing project delivery support, including planning, documentation, stakeholder engagement and delivery tracking.
• Contributing to the ongoing optimisation and enhancement of analytics and BI environments.

Solutions Developer – Independent SAS Consultant

Backend Engineer

• Design logical and physical data models, schema migrations, indexing strategies, and performance tuning for SQL workloads.
• Partner with stakeholders to translate requirements into maintainable database structures and data contracts.
• Build clean, well-documented RESTful APIs (and/or GraphQL where appropriate) with consistent patterns, versioning, and error handling.
• Develop and operate Azure Functions (HTTP-triggered and event-based) for core backend workloads and integrations.
• Integrate backend services with Microsoft SQL Server deployed on Microsoft Fabric, ensuring reliable connectivity, security, and performance.
• Implement authentication & authorization using industry best practices (e.g., OAuth2/OIDC, JWT, RBAC/ABAC concepts), aligned with Microsoft identity patterns.
• Implement API metering, quota/rate-limiting patterns, usage aggregation, and reporting.
• Write automated tests (unit/integration), establish CI/CD pipelines, and support releases across environments.

Backend Developer

DevOps Engineer

• Experienced in concepts such as Continuous Integration and Continuous Deployment, including hands on implementation experience in one or more tool e.g., GitHub, Azure Devops, GitLab Runner, Jenkins and AWS- CI/CD.
• Good Experience in Azure and Terraform.
• Strong programming experience in Shell scripting / Python.
• Implementing applications in private/public cloud infrastructure and container technologies like Kubernetes and Docker/Docker Swarm.
• Experience with Database server like MS-SQL, MySQL, PostgreSQL etc.
• Good command on usage of GIT.
• Experience working with Windows and Linux Based Infrastructure.
• Experience working with IAC tools like Terraform and AWS Cloud Formation. IAC with mix of Helm Charts, Docker files, Terraform, Ansible, bash & YAML.
• Excellent troubleshooting skills.
• Must Have: Azure, Terraform, GitHub, Azure Devops
• Good understanding of bash, yaml scripting.

EXL

Consultant II

Manager, MIS

Data Scientist

AWS Data Engineer

AWS Data Engineer

Frontend Developer – Power Apps

Platforms Engineer

Lead Assistant Manager – F&A

GCP Data Engineer

Data Scientist, SnowFlake

Insurance Claims

Solutions Developer – Independent SAS Consultant

Backend Developer

Senior DevOps Engineer

Data Engineer – AWS