Collect, analyze, and interpret data from various sources to create regular and ad-hoc reports. Design and develop PowerPoint presentations that clearly communicate key insights and business updates. Collaborate with cross-functional teams to gather content and ensure accuracy of information. Maintain consistency in formatting, branding, and visual storytelling across all presentations. Automate reporting processes where possible using Excel, Power BI, or other tools. Present findings to management and support decision-making with data-driven insights.

Processing orders and dealing with general enquiries including those relating to orders not received and returns not credited Dealing with queries from Next stores relating to their deliveries of customer parcels and store stock checks Enquiries from international customers relating to orders not received and order tracking and returns Admin ranging from adjusting customer accounts through to sending mass customer communications

Prior experience in all Accounts Payable functions, including Vendor Maintenance, Invoice Processing, Exception handling, Payments & reporting activities of the Accounts Payable Processing NON PO/PO Invoices. Enter time-sensitive Utility invoices and research any past due amounts to ensure for current accounts Payment processing Vendor Master Maintenance Vendor Reconciliations To ensure SLA targets are achieved Month-end responsibilities include ensuring that all invoices are processed by month-end Ability to comprehend complex information quickly & respond with clear solutions Minimum 2-3 years of AP experience Understands the need for confidentiality Ability to give attention to detail and accuracy Excellent communication skills, both verbal and written Excellent working knowledge of MS Office - MS Excel, Word Doc, Outlook Demonstrates good time management and organizational skills

Key Responsibility Areas including preferred Skills and Experience AR accountabilities - credit management, cash allocation, debt management and collections, bank reconciliations Responsible for Client and Broker Relationship Management Dealing with underwriters, brokers, customers and answering any query they might have related to payments, commission or debt related. Should be able to work on strict deadlines to manage client expectation Review first pass accuracy of process worked for quality assurance Prepare and share weekly reports/ update on the health of the process to client Work with team lead and manager to manage escalation, prepare RCA and its documentation Complete regular updates and changes on training material/SOP Competencies: Working knowledge of credit control, cash allocation Good level of knowledge of Insurance Finance and Accounts. London market knowledge is preferred Good Communication Skills (Verbal and Written) Good knowledge of complete MS Office suite (MS Word, MS Excel, Outlook) Good decision making/analytical skill Ability to prioritize & multi-task and exhibits meticulous attention to detail Eligibility Criteria: B.Com pass or B.Com Hons graduate/Any Finance Graduate Minimum 2-5 years of experience in Accounts Receivable /Finance and Accounting (preferably in cash and collection)

EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit for more information about EXL Analytics. Role & Responsibilities Overview: Emphasis is on providing business insights and managing end to end project delivery Structure analytical solution to address business objectives and problem solving Expected to work in close collaboration with the Client team and EXL team on establishing relationship with stakeholders, identify new opportunities, areas of growth . Analyze structured and unstructured data from a number of drivers in the interest of solving specific questions/problems with processes in the various functional areas . Hands on experience in data analytics tools like, SQL, PowerBI, Power Query, SQL, Database Systems - Mongo DB, Power BI DAX, Optional skills - Python, Pandas . Should have experience of using visualization tools like PowerBI Develop long-lasting, trusted advisor relationships with clients Provide Project, Client & Team Management and Monitor progress of deliverables on daily basis and ensures timely resolution of any issues Ensure Industry best practices are followed, Communicate and follow up with delivery team Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process and figuring out ways to resolve it Independently work across data manipulation, visualization, dashboard migration, Reporting and Automation projects Facilitate client working sessions and lead recurring project status meetings Manage day-to-day project operations, serve as the functional and domain expert on the project team to ensure that they meet client expectations Candidate Profile: Bachelor's/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply 2-8 years in Power BI, Power Query, SQL, Database Systems - Mongo DB, Power BI DAX, Optional skills - Python, Pandas exposure to insurance analytics Good critical thinking and problem solving skills Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work Outstanding written and verbal communication skills, and presentation skills Should be proactive, and be able to work in fast pace and continuously evolving environment and ready to take up uphill challenges Is able to understand cross cultural differences and can work with clients across the globe What we offer: EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants. You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.

. Follow all documented processes/workflow to enhance customer experience . Ensure privacy of our customers remains the utmost importance. Meet the expectations of the quality/productivity standards . Ensure that the assigned targets are in accordance with SLA and any internal standards are met . Accountable for the accurate and efficient processing of all requests pertaining to policy maintenance and associated service requests . Ensure that transactions are processed as per Desk Top procedures . Ensure adherence to established attendance schedules . Ensure adherence to company policies and procedures . Comply with all internal reporting requirements . Critical thinking and decision making . Typing speed of minimum 25 words per minute with 90% accuracy . Bachelor's degree preferred and Computer literacy. Basic knowledge of Microsoft Office, Outlook and Excel . Ability to comprehend & write in English Language, no voice skillset required . Ability to pay great attention to detail - especially during processing of transactions . Ability to produce high quality outcomes in highly productive environment

VP - Data & Analytics Role Summary This leadership role is at the forefront of driving enterprise-wide data-driven decision-making, strategic analytics, and innovation. The position blends technical depth, business acumen, stakeholder influence, and people leadership to transform analytics into a powerful catalyst for growth, operational excellence, and customer-centric outcomes. Key Responsibilities Strategic Analytics & Decision Support Develop and execute an enterprise analytics strategy aligned with business goals. Create and maintain a long-term analytics roadmap to support strategic priorities. Translate complex business problems into data-driven solutions and actionable insights. Contribute to large-scale digital transformation and finance modernization initiatives. Data Analysis, Modeling & Quality Assurance Build, deploy, and monitor advanced statistical models and machine learning algorithms. Ensure data quality and governance by defining standards, controls, and escalation paths. Develop key performance indicators (KPIs) and track the impact of analytics initiatives. Leadership & Team Development Lead high-performing analytics teams Build and mentor talent, driving team development, empowerment, and succession planning. Foster a culture of accountability, collaboration, and continuous improvement. Stakeholder Engagement & Influence Manage client interactions and ensure the delivery of high-quality analytics solutions. Serve as a strategic partner and Lead cross-functional collaboration efforts and analytics governance forums. Engage executive stakeholders, articulating analytics value clearly to both technical and non-technical audiences. Business & Domain Expertise Apply strong domain expertise in areas like financial services, banking, or marketing analytics. Understand customer behavior, market dynamics, and product performance to drive insights. Stay informed on compliance, privacy, and regulatory trends impacting analytics. Data Infrastructure & Tools Enablement Partner with Data Engineering to ensure scalable, efficient analytics infrastructure. Utilize modern tools and platforms such as SQL, Python, Tableau, Power BI, Snowflake, Hadoop, and Hive. Promote data platform automation and drive adoption of advanced analytics tools. Project & Change Leadership Lead strategic change management initiatives including Agile transformations and M&A integrations. Prioritize and manage complex, high-impact projects across global, matrixed organizations. Design and implement analytics programs that align with evolving business needs. Communication & Storytelling Simplify complex data into business-relevant insights using compelling storytelling and visualizations. Deliver executive-level presentations that drive decisions and inspire action. Champion a culture of insight-led decision-making and knowledge sharing. Compliance & Governance Uphold strong data ethics, privacy, and governance standards across all analytics activities. Ensure alignment with internal controls and evolving regulatory requirements. Promote a compliance-first mindset and mitigate risks through effective oversight. Go-to-Market Offerings Define and lead the creation of data and analytics-driven go-to-market offerings and accelerators. Collaborate with business development, product, and strategy teams to shape client-facing solutions. Develop thought leadership, sales enablement materials, and proposals for new analytics-driven services. Establish strategic partnerships with technology vendors, startups, and academic institutions to enhance offerings and innovation. Preferred Qualifications & Certifications Bachelor's or Master's degree in Engineering, Mathematics, Statistics, Finance, Economics, or a related quantitative discipline. Key Competencies & Attributes Strategic and innovative thinking with strong commercial acumen. Resilience and adaptability in dynamic business environments. High emotional intelligence, integrity, and commitment to building inclusive teams. Strong project management and organizational skills with attention to execution.

This is a role for a candidate in Market analytics team who can support in the automation process through advance linux skills. The candidate need to automate and transform some of the existing python code in batch environment and make them production available through Autosys. Keys skills required are Linux, Python preferred, Autosys preferred.

Location : Noida SEZ Job Title & Level: Sr. Executive, A2 Job Description: Processing of Accounts Payable transactions (Invoices, Vendor set-up/updation, Query management, T&E audit etc.) within the agreed TAT and accuracy levels Ensure compliance to client and organizational policies and procedures / SOPs Achieving high levels of customer satisfaction Updating Different metrics, as per process/role requirement Eligibility Criteria: A Commerce Graduate/Post Graduate 2+ years of experience in Finance & Accounts Should be open to work in night shift (USA) Competencies Required: Good Accounting skills and an eye for detail Good Computer navigation skills and MS Office knowledge (MS-Excel, MS-Word etc.) Good communication skills both verbal and written Ability to work independently with strict deadlines Should exhibit high energy levels and willingness to learn Self-initiated and zeal for continuous improvement

Good Knowledge on Life Claims terminologies Review policy information to determine coverage eligibility and beneficiary designation Request appropriate proof of loss documentation, including medical records, criminal records, prescription history and motor vehicle records Make claim recommendations based on claim investigation documentation Review any statutory requirements regarding minor beneficiary, divorce revocation, small estates and post-mortem interest Make outgoing/receive incoming phone calls Participate in the Claim and Underwriting Collaboration Calls Acknowledge and respond to written and verbal communication in a timely manner Ability to write ad hoc letters using correct grammar and punctuation Review and handle a high-volume caseload of incontestable and contestable claims Critical thinking skills Excellent Research and organizational skill Interpersonal and team building skills Excellent verbal and written communication skills Ability to handle high volume, competing priorities Ability to work independently and with others on the team and across departments Excellent PC skills and knowledge and usage of Microsoft Office

Job Title: Data Engineer Job Summary Data Engineers will be responsible for the design, development, testing, maintenance, and support data assets including Azure Data Lake and data warehouse development, modeling, package creation, SQL script creation, stored procedure development, integration services support among other responsibilities. Candidate have at least 3-5 years hands-on Azure experience as a Data Engineer, must be an expert in SQL and have extensive expertise building data pipelines. Candidate will be accountable for meeting deliverable commitments including schedule and quality compliance. This Candidate must have skills to plan and schedule own work activities, coordinate activities with other cross-functional team members to meet project goals. Basic understanding of : Scheduling and workflow management & working experience in either ADF, Informatica, Airflow or Similar Enterprise Data Modelling and Semantic Modelling & working experience in ERwin, ER/Studio, PowerDesigner or Similar Logical/Physical model on Big Data sets or modern data warehouse & working experience in ERwin, ER/Studio, PowerDesigner or Similar Agile Process (Scrum cadences, Roles, deliverables) & basic understanding in either Azure DevOps, JIRA or Similar Architecture and data modelling for Data Lake on cloud & working experience in Amazon WebServices (AWS), Microsoft Azure, Google Cloud Platform (GCP) Basic understanding of Build and Release management & working experience in Azure DevOps, AWS CodeCommitt or Similar Strong In: Writing code in programming language & working experience in Python, PySpakrk, Scala or Similar Big Data Framework & working experience in Spark or Hadoop or Hive (incl. derivatives like pySpark (prefered), SparkScala or SparkSQL) or Similar Data warehouse working experience of concepts and development using SQL on single (SQL Server, Oracle or Similar) and parallel platforms (Azure SQL Data Warehouse or Snowflake) Code Management & working experience in GIT Hub, Azure DevOps or Similar End to End Architecture and ETL processes & working experience in ETL Tool or Similar Reading Data Formats & working experience in JSON, XML or Similar Data integration processes (batch & real time) using tools & working experience in either Informatica PowerCenter and/or Cloud, Microsoft SSIS, MuleSoft, DataStage, Sqoop or Similar Writing requirement, functional & technical documentation & working experience in Integration design document, architecture documentation, data testing plans or Similar SQL queries & working experience in SQL code or Stored Procedures or Functions or Views or Similar Database & working experience in any of the database like MS SQL, Oracle or Similar Analytical Problem Solving skills & working experience in resolving complex problems or Similar Communication (read & write in English), Collaboration & Presentation skills & working experience as team player or Similar Good to have: Stream Processing & working experience in either Databricks Streaming, Azure Stream Analytics or HD Insight or Kinesis Data Analytics or Similar Analytical Warehouse & working experience in either SQL Data Warehouse or Amazon Athena or AWS Redshift or Big Query or Similar Real-Time Store & working experience in either Azure Cosmos DB or Amazon Dynamo-DB or Cloud Bigdata or Similar Batch Ingestion & working experience in Data Factory or Amazon Kinesis or Lambda or Cloud Pub/Sub or Similar Storage & working experience in Azure Data Lake Storage GEN1/GEN2 or Amazon S3 or Cloud Storage or Similar Batch Data Processing & working experience in either Azure Databricks or HD Insight or Amazon EMR or AWS Glue or Similar Orchestration & working experience in either Data Factory or HDInsight or Data Pipeline or Cloud composer or Similar

Soft Skills Good spoken English and good verbal communication skills. Ability to communicate correctly and clearly. CEF Level B1- 6 and above Good problem-solving skills, strong troubleshooting skills Ability to approach problems logically. Ability to communicate correctly (grammatically and contextually correct) and clearly Commitment and drive for targets, decision making ability, adaptable & flexible Customer service focus - Ability to empathize with the customer/third parties and prioritize requests Desirable Skills Customer service Focus - Ability to empathize with the customers and third parties and prioritize requests Commitment and drive for targets Decision making ability, Adaptable & Flexible

. Able to handle multiple tasks in fast paced environment. . Able to handle calls tickets and emails. .Understands the long and short term strategy of the organization . Identifies the critical success factors from an HR perspective and formulates the strategy . Monitor transactions on an ongoing basis and take corrective steps where necessary or make incremental improvements and provide insights . Sets standards through benchmarking/best practices . Partners with Business HR to facilitate high productivity achievement. . Ensures systems and processes support the Company strategy . Formulate/provide inputs for policies related to people management, attrition, deployment and development to build a positive and performance-oriented culture within the team . Able to handle escalations and take it to end-to-end closures . Provide inputs on process and system to the team members . Ensure compliance in line with company's policies and procedures . Will be responsible for managing fundamental HR processes in ERP . Adapts, modifies and updates administrative methodologies, practices and procedures

Post job openings on various platforms (job boards, social media, etc.). Source candidates through databases, networking, and referrals. Screen resumes and conduct initial interviews. Coordinate interviews with hiring managers. Assess candidates skills, experience, and cultural fit. Extend job offers and negotiate terms. Maintain a talent pipeline for future hiring needs. Ensure compliance with employment laws and company policies.

Job Title: Consultant / Senior Consultant - Azure Data Engineering Location: India - Gurgaon preferred Industry: Insurance Analytics & AI Vertical Role Overview: We are seeking a hands-on Consultant / Senior Consultant with strong expertise in Azure-based data engineering to support end-to-end development and delivery of data pipelines for our insurance clients. The ideal candidate will have a deep understanding of Azure Data Factory, ADLS, Databricks (preferably with DLT and Unity Catalog), SQL, and Python and be comfortable working in a dynamic, client-facing environment. This is a key offshore role requiring both technical execution and solution-oriented thinking to support modern data platform initiatives. Collaborate with data scientists, analysts, and stakeholders to gather requirements and define data models that effectively support business requirements Demonstrate decision-making, analytical and problem-solving abilities Strong verbal and written communication skills to manage client discussions Familiar with working on Agile methodologies - daily scrum, sprint planning, backlog refinement Key Responsibilities & Skillsets: o Design and develop scalable and efficient data pipelines using Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS). o Build and maintain Databricks notebooks for data ingestion, transformation, and quality checks, using Python and SQL. o Work with Delta Live Tables (DLT) and Unity Catalog (preferred) to improve pipeline automation, governance, and performance. o Collaborate with data architects, analysts, and onshore teams to translate business requirements into technical specifications. o Troubleshoot data issues, ensure data accuracy, and apply best practices in data engineering and DevOps. o Support the migration of legacy SQL pipelines to modern Python-based frameworks. o Ensure adherence to data security, compliance, and performance standards, especially within insurance domain constraints. o Provide documentation, status updates, and technical insights to stakeholders as required. o Excellent communication skills and stakeholder management Required Skills & Experience: 3-7 years of strong hands-on experience in data engineering with a focus on Azure cloud technologies. Proficient in Azure Data Factory, Databricks, ADLS Gen2, and working knowledge of Unity Catalog. Strong programming skills in both SQL, Python especially within Databricks Notebooks. Pyspark expertise is good to have. Experience in Delta Lake / Delta Live Tables (DLT) is a plus. Good understanding of ETL/ELT concepts, data modeling, and performance tuning. Exposure to Insurance or Financial Services data projects is highly preferred. Strong communication and collaboration skills in an offshore delivery model. Required Skills & Experience: Experience working in Agile/Scrum teams Familiarity with Azure DevOps, Git, and CI/CD practices Certifications in Azure Data Engineering (e.g., DP-203) or Databricks

JOB DESCRIPTION Position Title, Responsibility Level: Senior Executive Function:Operations Reports to - Assistant Manager - Operations Permanent/ Temporary:Permanent Span of Control - Nil Location: Gurgaon-C-61 Fraud Detection Specialist We are seeking talented and self-motivated Fraud/Dispute Detection Specialist to join our Risk Operations team. Our candidate will be responsible for all aspects of reviews as it relates to lending and credit card applications, account openings, fraud referrals, and the review of transactional activity inbound/outbound calls to confirm activity advising and assisting Management in making and implementing strategic decisions and objectives and driving business objectives. Role Should have 1+ years experience in a fraud/dispute and risk related role which includes Fraud prevention on bank accounts, cheques and cards fraud. Should have 1+ years experience of customer service for fraud and risk related Inbound/outbound calls. Reviewing and verifying fraud related requests. Analyzing customer accounts, products and debit/credit card risk and requesting or inquiring for additional information as necessary through outbound calls. Ensuring compliance with regulatory standards. Ensuring compliance with company/client policies and guidelines. Documenting and effectively communicating reasons for the approval/rejection of transactions. Responsibilities Conducts reviews and inquiries on identified and suspicious accounts within the specified systems Completes Inbound/Outbound calls and take appropriate action based upon results. Analyzes and reviews potentially fraudulent activity, to ensure minimal loss to the organization. Coordinates cross-functional communication, to resolve fraud situations and provides recommendations to resolve fraud Interacts with members, as needed, who are reporting fraudulent activity Reviews suspicious documentation submitted for new accounts Compiles information from multiple channels and determine which accounts need to be restricted and what departments need to be contacted Enters and maintains accurate case detail notes for all alerts received and reports type of fraud on each occurrence .Provides escalation and updates to supervisor regarding alerts worked Responds promptly and exercises exceptional communication skills in an effort to optimize each contact with members, partners and external vendors/banks Ensures compliance with departmental standards and processes to increase production and accommodate work volumes toward enhanced member satisfaction Fosters a culture of accountability, collaboration, speed, innovation, excellence, and a fun work environment while continuously elevating the quality and caliber of our fiscal controls Performance parameters Productivity Quality / Accuracy Turn Around Time and Cycle Time of work assigned Process Improvement initiatives Domain expertise and certifications scores Schedule adherence, Punctuality and Discipline Organizational Relationships Reports To: Assistant Manager Skills Desirable Skills Attention to detail Commitment and drive for results Questioning, reasoning and analytical Adaptable and Flexible Requires shift-work, including weekends, non-business hours and holidays Business Etiquette Technical Skills Basic strong internet research, Google Docs, and overall PC skills Typing speed of 30 words with high accuracy Soft skills Strong team player Ability to communicate correctly (grammatically and contextually correct) and clearly. Good business writing skills High accuracy at work Self-Discipline, Listening, Patience Education Requirements and Work Experience: Bachelor's degree required. Exceptional English Comprehension Skills Should have 1+ years experience in a fraud and risk related role which includes Fraud prevention on bank accounts, cheques and card fraud. Should have 6 months to 1 year experience of customer service for fraud and risk related Inbound/outbound calls.

EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit for more information about EXL Analytics. Role & Responsibilities Overview: Emphasis is on providing business insights and managing end to end project delivery Structure analytical solution to address business objectives and problem solving Expected to work in close collaboration with the Client team and EXL team on establishing relationship with stakeholders, identify new opportunities, areas of growth . Analyze structured and unstructured data from a number of drivers in the interest of solving specific questions/problems with processes in the various functional areas . Hands on experience in data analytics tools like, SQL, SAS and Python and good knowledge in segmentation / advanced analytics / Machine learning / statistical / data mining / Text mining techniques . Should have experience of using visualization tools like PowerBI Develop long-lasting, trusted advisor relationships with clients Provide Project, Client & Team Management and Monitor progress of deliverables on daily basis and ensures timely resolution of any issues Ensure Industry best practices are followed, Communicate and follow up with delivery team Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process and figuring out ways to resolve it Independently work across data manipulation, visualization, predictive modeling, Reporting and Automation projects Facilitate client working sessions and lead recurring project status meetings Manage day-to-day project operations, serve as the functional and domain expert on the project team to ensure that they meet client expectations Candidate Profile: Bachelor's/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply 2 - 8 years in data science / machine learning and data analytics exposure to insurance analytics HR Analytics, Adhoc data analysis to solve business problems Complete understanding and demonstrated experience of SQL, SAS, Python, and various modeling techniques is must Good critical thinking and problem solving skills Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work Outstanding written and verbal communication skills, and presentation skills Should be proactive, and be able to work in fast pace and continuously evolving environment and ready to take up uphill challenges Is able to understand cross cultural differences and can work with clients across the globe What we offer: EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants. You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.

2-5 years experience, with good understanding of P&C actuarial concepts - pricing, reserving, and/or valuation Exposure to US general insurance market is preferable Strong ability to learn technical and business knowledge Superior analytical and problem solving skills Outstanding written and verbal communication skills Excellent time and work management skills Able to work in fast pace continuously evolving environment and ready to take up uphill challenges Is able to understand cross cultural differences and can work with clients across the globe Doing independent research, analyze, and present data as assigned Expected to work in close collaboration with the EXL team and clients on general insurance actuarial projects for US markets Critically examine and deep dive into models Prepare detailed documentation for rate revision, rate review, pricing models, valuation reports and preparing presentations Assist in learning and development of new team members Identify and participate in continuous improvement initiatives Ensure compliance with Data Privacy and Protection Guidelines

Key Responsibilities: Develop and maintain accurate short-term and long-term forecasts based on historical trends and business drivers. Create optimized schedules that align with forecasted volumes and ensure coverage across all shifts. Monitor real-time performance metrics (adherence, occupancy, shrinkage) and take necessary action to mitigate variances. Provide real-time intraday management to ensure service levels are met. Analyze staffing trends and recommend strategies to improve efficiency and reduce costs. Generate daily, weekly, and monthly WFM reports and dashboards. Collaborate with operations to adjust plans based on changing business needs or unexpected events. Participate in WFM tool implementations, upgrades, and system testing.

Responsibilities Lead functional and technical workshops,demonstratingleadership skills in designing, delivering, testing, and deploying Salesforce solutions. Expertisein Data Modeling, Apex Design Patterns, LWC, and other modern UI techniques. Design and architect scalable and secure Salesforce solutions that meet business requirements. Must haveexpertisein Salesforce Service Cloud, Einstein AI,Data Cloud & Experience Cloud. Serve as a trusted advisor to the client, conducting conversations withtheir EnterpriseArchitects and business stakeholders to shape the architectural vision andestablishan architectural roadmap program. Manage customer expectations negotiate solutions to complex problems with both the customer and third-party stakeholders. Guide customers, partners, and implementation teams on how best to execute digital transformation with the Salesforce platform using Salesforce Industries. Establish trust with the customer's leadership, promoting and implementing best practices with Salesforce Industries and Salesforce. Ensure best practices in coding standards, design patterns, and integration processes are followed. Develop andmaintaintechnical documentation for designed solutions. Build outsophisticated business processes using native Salesforce Industries technology and the toolkit of the Force.com platform and integration tools. Work closely with Delivery Managers, Solution Architects, and directly with clients to architect technology solutions to meet client needs. Highlight and manage risk areas in the solution proactively, committing to seeing issues through to completion. Qualifications Minimum 12 years of total experience in IT. Minimum 8 years of total Salesforce experience in Salesforce architecture and integration. Minimum 5 years of experience developing Salesforce customizations (Apex/Lightning), integrations, and executing data migrations. Minimum of 3-5 years of experience creatingthe technicalarchitecture for complex Salesforce implementations. 7+ years of experience in defining, designing, delivering, and deploying Salesforce-based technical solutions, in thecapacityof the accountable or responsible contributor. Design and implement Salesforce solutions aligned with business strategy andobjectives. Lead technical requirements sessions, architect and document technical solutions aligned with client businessobjectives. Translate business requirements into well-architected solutions that bestleveragethe Salesforce platform. Provide guidance on the deployment of Salesforce CRM implementations, integrations, and upgrades. Mandatoryto have at least one Developer Track Certification (Platform Developer I) along with at least one Cloud Consultant Certification from either Community, Field Service, Sales, Service, or CPQ. Mandatoryto have either System Architect or Application Architect certification. Other relevant Salesforce certifications (Data cloud, Experience Cloud) are a plus. Excellent communication (written and oral) and interpersonal skills, with the ability to present to a variety of audiences (executive to technically detailed audiences). Excellent leadership and management skills. Education / Certification Bachelor's/University degree or equivalent experience. Salesforce certifications (e.g., Platform Developer I, System Architect, Application Architect) are preferred.