36 Sas Viya Jobs - Page 2

ERGO Technologies and Services IndiaERGO Technology & Services India (ET&S India) is the newest part of the ERGO Technology & Services Management the main outsourcing provider of IT for ERGO worldwide. It is backed up by ERGO an 18 Billion Euro Organization with a presence in 15+ countries have a charter to provide technology services to the ERGO countries in multiple countries. ET&S India will be fueling the Digital aspirations of ERGO world in years to come. With ambitious plan to build a large offshore development centers in multiple cities of the country ETS India shall be at the forefront in developing capabilities and providing career opportunities to employees in diverse technologies across domains of Insurance. Role Description: The Developer will be responsible for developing new system functionality, providing system maintenance & enhancements in SAS projects to ensure that the initiatives and internal customers are provided full lifecycle support, from implementation through on-going support. This person will be responsible for coding, unit testing, bug-fixes a day-to-day basis. Creation of functional and/or technical concepts Development or modification of SAS databases Changes to interfaces Technical review of requirements Documentation of operational knowledge Design, development and maintenance of SAS databases to meet support and/or project requirements. Liaising with business and IT teams to understand business requirements and translate them into formal technical requirements and application code. Collaborate with IT support teams (I&O, SAS) to ensure that support and project requirements are developed and successfully implemented Develop and execute unit tests and integration plans/scripts to verify that application changes meet technical specifications Responsibility for the entire system development lifecycle Collaborate with the business team to perform acceptance testing and participate in integration testing Participate in production support/service rotation, including weekend and after-hours support Provide solution delivery methodology artefacts (ERGO Essence Model) in conjunction with application components. Participate in technical reviews at appropriate stages of development Key Competencies & Skills requiredTechnical: Experience in all components of software delivery with concentration in requirements, design and development. Quick starter to troubleshoot/resolve incidents and business support items Experience in SAS / Datawarehouse Tecnologies Has knowledge in all common MS-Office products, Jira, Confluence, Enterprise Architect Knowledge Test Tools for Support (e.g. ALM) Nice to have: Insurance Know How Basic knowledge of Cobol / Mainframe Exposure to collaboration tools like SharePoint, Fileshare, Agile Methodology, Confluence, KanBan Knowledge Insurance Know How Behavioral Skills: Excellent interpersonal and communication skills for working in a global environment Experience working with technical support team(s). Being customer oriented. Very good English (speaking/writing) skills. Willingness to learn and quickly adapt to changing requirements Proactive approach to identifying issues and presenting solutions and options Prioritize business impact and urgency Ability to learn new technology and methodology quickly. Soft Skills: Very good knowledge in handling application support and maintenance projects with different skills. Good analytical and problem solving skills in a short time frame Detail orientation Initiative, reliability and dedication Very good communication and presentation skills Ability to work in a team Ability to deal with conflict Flexibility Ability to work under pressure Previous Experience & QualificationsEducation/Qualification: A degree in Computer Science or equivalent or a related discipline; or equivalent work experience Knowledge & Experience: 2-3 years of SAS and Datawarehouse Development background in design, analysis and coding, bug fixing Financial Services background appreciated Experience of working within multi-location teams English

Job Summary: We are seeking a skilled Data Scientist with experience in both Python and SAS to join our high-performing analytics team. The ideal candidate will be adept at developing predictive models, analyzing large datasets, and delivering actionable insights using modern data science tools and platforms. Key Responsibilities: Design and develop machine learning and statistical models using Python and SAS. Conduct data exploration, preprocessing, and analysis on structured and unstructured datasets. Use SAS (Base, Advanced, Enterprise Guide, Visual Analytics, or SAS Viya) for reporting, data preparation, and statistical modeling as required. Work with large-scale datasets using Python libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow. Translate business requirements into technical solutions in collaboration with cross-functional teams. Build data pipelines and automate workflows for data analysis and model deployment. Present data-driven insights through visualizations using tools such as Seaborn, Plotly, Matplotlib, or SAS VA. Document models, code, and methodologies for reproducibility and auditability. Qualifications: 2-10 years of experience in data science, machine learning, or advanced analytics. Proficient in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.) and SAS (Base, Advanced, DI, VA, or Viya). Strong knowledge of SQL and experience working with relational databases. Solid foundation in statistical analysis, hypothesis testing, regression, classification, clustering, etc. Experience in building, evaluating, and deploying predictive models. Excellent communication skills and ability to convey complex findings to non-technical stakeholders. Preferred Qualifications : Experience with big data tools (Spark, Hive, Hadoop). Exposure to MLOps tools (MLflow, Airflow, Docker, etc.). Familiarity with cloud platforms (AWS, Azure, GCP). Understanding of SAS integration with cloud or open-source tools. Experience with NLP, image recognition, or deep learning frameworks. Location: Pan India- Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Job Summary: We are seeking a skilled Data Scientist with experience in both Python and SAS to join our high-performing analytics team. The ideal candidate will be adept at developing predictive models, analyzing large datasets, and delivering actionable insights using modern data science tools and platforms. Key Responsibilities: Design and develop machine learning and statistical models using Python and SAS. Conduct data exploration, preprocessing, and analysis on structured and unstructured datasets. Use SAS (Base, Advanced, Enterprise Guide, Visual Analytics, or SAS Viya) for reporting, data preparation, and statistical modeling as required. Work with large-scale datasets using Python libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow. Translate business requirements into technical solutions in collaboration with cross-functional teams. Build data pipelines and automate workflows for data analysis and model deployment. Present data-driven insights through visualizations using tools such as Seaborn, Plotly, Matplotlib, or SAS VA. Document models, code, and methodologies for reproducibility and auditability. Qualifications: 2-10 years of experience in data science, machine learning, or advanced analytics. Proficient in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.) and SAS (Base, Advanced, DI, VA, or Viya). Strong knowledge of SQL and experience working with relational databases. Solid foundation in statistical analysis, hypothesis testing, regression, classification, clustering, etc. Experience in building, evaluating, and deploying predictive models. Excellent communication skills and ability to convey complex findings to non-technical stakeholders. Preferred Qualifications : Experience with big data tools (Spark, Hive, Hadoop). Exposure to MLOps tools (MLflow, Airflow, Docker, etc.). Familiarity with cloud platforms (AWS, Azure, GCP). Understanding of SAS integration with cloud or open-source tools. Experience with NLP, image recognition, or deep learning frameworks. Location- Pan ,Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad,Mumbai, Hyderabad Education- Bachelor's degree in Computer Science, Information Technology, or a related field.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAS Analytics Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education1. Must Have Skills - SAS 9.x, SAS Viya, Windows, Linux, AIX, MAINFRAMEWe are looking for Admin2.Roles and responsibilities:SAS Environment Management:1. Install, configure, and upgrade SAS software (SAS 9.x, SAS Viya, etc.) across different platforms (Windows, Linux, AIX, etc.).2. Set up and maintain SAS metadata server, SAS object spawners, and SAS compute servers.3. Perform regular monitoring of SAS servers to ensure optimal performance, including resource usage and system load.4. Maintain and troubleshoot SAS environments to ensure they are secure, stable, and meet the business needs.System Administration:1.Manage user access and security permissions for SAS applications and platforms.2. Implement backup and disaster recovery procedures for SAS-related data and systems.3. Monitor and maintain the health of SAS servers, databases, and associated infrastructure.4. Coordinate and manage SAS system performance tuning, optimization, and problem resolution.Technical Support:1.Provide technical support to SAS users (Data Analysts, Data Scientists, Business Intelligence teams) by resolving software-related issues, troubleshooting errors, and ensuring seamless operation of the SAS platform.2. Troubleshoot and resolve issues related to SAS environment setup, installations, patches, and upgrades.System Upgrades & Patches:1. Plan and implement updates, patches, and upgrades to ensure that SAS systems are running the latest supported versions.Test and deploy new SAS software versions, ensuring backward compatibility with existing applications and workflows.Documentation & Reporting:1. Maintain clear documentation of SAS system configurations, environment setup, and troubleshooting procedures.Generate regular reports on system performance, user activity, and usage statistics to support decision-making processes.Collaboration & Training:3. Professional Attributes Excellent communication, Collaboration and Analytical Skills4.Shift Timing Shift B Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAS Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time educationSAS 9.x, SAS Viya,Windows, Linux, AIX,MAINFRAME2.Roles and responsibilities:SAS Environment Management:1. Install, configure, and upgrade SAS software (SAS 9.x, SAS Viya, etc.) across different platforms (Windows, Linux, AIX, etc.).2. Set up and maintain SAS metadata server, SAS object spawners, and SAS compute servers.3. Perform regular monitoring of SAS servers to ensure optimal performance, including resource usage and system load.4. Maintain and troubleshoot SAS environments to ensure they are secure, stable, and meet the business needs.System Administration:1.Manage user access and security permissions for SAS applications and platforms.2. Implement backup and disaster recovery procedures for SAS-related data and systems.3. Monitor and maintain the health of SAS servers, databases, and associated infrastructure.4. Coordinate and manage SAS system performance tuning, optimization, and problem resolution.Technical Support:1.Provide technical support to SAS users (Data Analysts, Data Scientists, Business Intelligence teams) by resolving software-related issues, troubleshooting errors, and ensuring seamless operation of the SAS platform.2. Troubleshoot and resolve issues related to SAS environment setup, installations, patches, and upgrades.System Upgrades & Patches:1. Plan and implement updates, patches, and upgrades to ensure that SAS systems are running the latest supported versions.Test and deploy new SAS software versions, ensuring backward compatibility with existing applications and workflows.Documentation & Reporting:1. Maintain clear documentation of SAS system configurations, environment setup, and troubleshooting procedures.Generate regular reports on system performance, user activity, and usage statistics to support decision-making processes.Collaboration & Training:3. Professional Attributes Excellent communication, Collaboration and Analytical Skills4.Shift Timing Shift B Qualification 15 years full time education

Hiring for the role of SAS SQL Location: Gurgaon Work Mode: Hybrid Experience:5-8 years Skills: SAS+SQL Notice Period: Immediate-60 Days Interested candidates can share their resume on nishi@jobpoint.co.in

Job Overview: We are seeking an experienced Senior Data Analyst with 3-6 years of experience in Risk Modeling and Insurance Analytics. The ideal candidate should have hands-on expertise in SAS, SAS Viya, and SQL, along with a strong background in Life Insurance products and risk modeling. This is a full-time, office-based role in Mumbai, requiring close collaboration with cross-functional teams to develop risk models, deliver scorecards, and drive data-driven decision-making. Key Responsibilities: 1. Apply expertise in the Indian Insurance market to develop risk models and predictive analytics solutions. 2. Utilize SAS, SAS Viya, and SQL for data modeling, analysis, and reporting. 3. Develop and implement risk modeling strategies with measurable business impact. 4. Leverage deep knowledge of Life Insurance products and processes to design analytics solutions. 5. Manage and deliver analytics projects within deadlines while ensuring accuracy and quality. 6. Work on large datasets to identify key risk factors, customer behavior trends, and business insights. 7. Develop and implement scorecards, propensity models, and predictive analytics frameworks. 8.Collaborate with stakeholders to align analytics initiatives with business objectives. Desired Candidate Profile: a. Bachelors degree in Computer Science, Statistics, Mathematics, or related fields. b. 3-6 years of proven experience in data analytics, particularly in BFSI/Insurance domains. c. Strong expertise in SAS & SQL (mandatory); Python is a plus. d. Hands-on experience in risk modeling, scorecards, and propensity models. e. Advanced proficiency in Microsoft Excel for data analysis and reporting. f. Excellent problem-solving skills and attention to detail. g. Strong communication and stakeholder management abilities. h. Experience in handling large datasets and delivering high-quality analytics solutions. Preferred Skills: a. Experience in financial risk modeling, credit risk, or fraud analytics. b. Exposure to AI/ML techniques for insurance analytics is a plus. c. Knowledge of data visualization tools like Power BI or Tableau is advantageous.

Hi Greetings from Ariston Partners Pty Ltd Hiring for SAS Solution Designer Long Term Contract in Sydney (Visa Sponsorship Role) Email:fernando@aristonpartners.com.au JD: Strong exposure to SAS is required, alongside proficiency in cloud-based technologies and data platforms. Ability to guide data engineers on solution delivery using RDBMS, ETL/ELT technologies, and strong understanding of relational and NoSQL databases and real-time streaming. Experience delivering data solutions within large, complex data platform environments, with knowledge of Risk frameworks in Financial Services. Ability to define solutions spanning multiple technologies including SAS, Hadoop & Big Data, Azure/Teradata Data Warehouse, ETL tools (e.g., Informatica), and BI tools (Tableau, Power BI). Experience working with business units to understand credit risk-related data elements, reference data, metadata, and data lineage. Capability to guide Agile teams in designing, developing, testing, implementing, and supporting full-stack technical solutions using DevOps processes. If interested kindly Share updated CV Total Experience : SAS : ETL: Credit Risk Notice Period: Regards Fernando San Call/Whatsapp:+61435811160

Salary: 15 to 30 LPA Exp: 3 to 8 years Location : Gurgaon/Bangalore/Pune/Chennai Notice: Immediate to 30 days..!! Key Responsibilities & Skillsets: Common Skillsets : 3+ years of experience in analytics, SAS Pyspark, Python, Spark, SQL and associated data engineering jobs. Must have experience with managing and transforming big data sets using pyspark, spark-scala, Numpy pandas Excellent communication & presentation skills Experience in managing Python codes and collaborating with customer on model evolution Good knowledge of data base management and Hadoop/Spark, SQL, HIVE, Python (expertise). Superior analytical and problem solving skills Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision Good communication skill for client interaction Data Management Skillsets: Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred Should have strong grasp of advanced SQL functionalities (joins, nested query, and procedures). Strong ability to translate functional specifications / requirements to technical requirements

Role & responsibilities: The candidate should be well aware of the BFSI domain. Good at SAS DI to automate the reporting process using SAS Stored Process, SAS Portal, Info Map, WRS and guide business users to use it . Should have in depth knowledge in DW/BI concepts, Dimensional Modelling Experience in using SAS Data Integration Studio to extract, transform and load source data into SAS or major DBMS environments from multiple sources including major DBMS and application system transaction files. Expertise in Creating Drill Down or OLAP based complex reports. Should be conversant with Job Scheduling using Windows Scheduler or LSF Creating ETL's using DI Studio, having good knowledge for transformation like Extract, SQL Join, Splitter, Lookup, Table Loader, SCD Type Techniques. Deploying Jobs & Scheduling In SMC. Hands on experience on Base SAS, Macros, Enterprise Guide, OLAP Cube Studio Experience in Unix Operating System and Scheduling tools like LSF and Cron-tab Knowledge Of creating users, assigning roles/rights to users. Strong experience in Data Validation or Data Quality and Error handling Base SAS, Advance SAS Programmer, SAS Macros, SAS/Access, SQL and optimization techniques. Preferred candidate profile Should have API experience. Should have worked on SAS Stored Procedure, PROC HTTP.

Job Family: Cloud Platform Administrator Business Title: SAS Cloud Operations Administrator As a Cloud Platform Administrator for the SAS Cloud team in SASs Cloud and Information Services (CIS) division, you will be responsible for all aspects of our hosted and remote managed SAS application environments. You will work collaboratively with customers, analysts, developers, and implementation team members to deliver world class SAS service. You will support the team with training, expertise, mentoring, and best practices related to enterprise application technology, architecture, and support. You will work with global R&D, Product, Technical Support, global PSD/Partners, and CIS teams to drive customer satisfaction and ensure service quality across all our hosted and remote managed customer environments. You will lead the team in efforts to improve quality, efficiency, and automation around service delivery tasks. A keen eye for continuous improvement and a passion to drive it in all aspects of the job is required. Primary Responsibilities : • Deliver excellent customer service using a customer first and continuous improvement mindset. • Provide hands-on administration, maintenance, and installation of SAS Enterprise software and solutions. • Provide support for global PSD/Partner delivered ETL and automations. • Manage day-to-day work through SAS Cloud ticketing systems using CIS best practices for ticket update quality and frequency. • Use IT Service Management best practices for change, incident, and problem management to meet and support Service Level Agreement requirements SAS Cloud customers. • Create and maintain service documentation including runbooks, knowledge base articles, and wiki content. • Configure, manage, monitor, and debug mid-tier software. • Manage, monitor, and maintain container-based applications deployed in cloud container services. • Develop tools and software to manage SAS and third-party software. • Diagnose, document, report, and resolve system problems. • Work directly with external customers and interface with other support teams and vendors. • Mandatory - 24x7 Shift working as per business demand. • Mandatory - Participate in a 24x7x365 on-call rotation. Additional responsibilities may include: • Provide service leadership for local teams by managing service queues and assigning tickets based on SAS Cloud procedures. • Serve as technical escalation support for other team members. • Contribute to overall service quality by identifying or leading efforts that reduce time, reduce toil, and/or improve the customer experience with SAS Cloud services. Essential Requirements: • Bachelor's degree in a quantitative field, such as Computer Science, Information Technology or related field. • 2+ years of technical experience including: o Experience in SAS Administration, Deployment, integration o 1+ years of experience with Kubernetes / CaaS o 1+ years of experience Enterprise Platform Support o 1+ years of experience in systems support, user support, customer support, consulting, or training for enterprise class software and/or hardware. o 1+ years of experience with UNIX or Linux supporting enterprise class applications. Preferences: • Familiarity with cloud-based platforms like MS Azure, AWS, GCP, or OpenShift • Experience with Python, Ansible, or Kubernetes • Scripting experience (bash, PowerShell, etc.) • Installing, using and administrating SAS software and solutions • Programming in SAS • Deploying and managing JavaEE web application. • Java or Web development experience • Ability to travel up to 10% of the time.