6 Sas Analytics Jobs

Salary: 15 to 30 LPA Exp: 3 to 7 years Location: PAN India Notice: Immediate only..!! Key Skills: SAS, Credit Risk, risk analytics, MIS, risk reporting Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Credit risk . Strong proficiency in tools like SAS, Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : SAS Platform Minimum 5 year(s) of experience is required Educational Qualification : 15 years of fulltime education Summary: As an Application Support Engineer, you will be responsible for identifying and solving issues within multiple components of critical business systems using SAS Platform. Your typical day will involve providing dynamic service and support to ensure smooth functioning of the systems. Roles & Responsibilities: - Provide technical support and troubleshooting for SAS Platform-based applications. - Collaborate with cross-functional teams to identify and resolve issues within critical business systems. - Develop and maintain technical documentation, including standard operating procedures and knowledge base articles. - Participate in the design, testing, and implementation of new applications and system enhancements. - Ensure compliance with established service level agreements (SLAs) and customer satisfaction goals. Professional & Technical Skills: - Proficiency in SAS Platform. - Experience in SAS Analytics is a good-to-have skill. - Strong understanding of software engineering principles and methodologies. - Experience in troubleshooting and resolving technical issues in a timely manner. - Excellent communication and interpersonal skills.

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

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 '' Immediate Joiners Preferred '' Role : Senior Statistical Programmer Location : Hyderabad Experience : Minimum 7 years as Clinical Statistical Programmer We are looking for Senior Statistical Programmer who is responsible for designing, developing, and implementing complex statistical programming solutions to support clinical trial data analysis. This role involves collaboration with cross-functional teams, including Biostatistics, Clinical Data Management, and Regulatory Affairs, to ensure high-quality and timely data deliverables. The Senior Statistical Programmer is expected to handle programming activities for clinical studies and may provide guidance to junior programmers. Key Responsibilities Act as programming lead on Phase I-IV group of studies. Leading the studies and acting as the POC for multiple studies. Perform programming activities for a trail indication. Write and manage SAS code for mapping clinical data to SDTM data structures in conformance with SDTM Implementation Guide, project standards, and the study protocol. Perform CDISC activities in accordance with corporate quality standards, SOPs/Work Instruction/Guidelines, ICH-GCP and/or other regulatory requirements. Develop/Validate SAS analysis datasets (ADaM) and prepare tables, listings, and figures as per specifications, SAP and Mockshell. Creates programs to prepare graphs and tables that are required in clinical study reports, safety reports, efficacy reports, etc., ensuring on-time quality delivery. Perform CRF annotation and Specification creation as per CDISC standards. Validate tables, listings, and figures as per client required Mockshells. Supporting database QC activities. Support client and internal audits. Validate and transform datasets as per client specifications. Validate tables, listings, and figures as per client required specifications. Ability to work on data migration from legacy datasets to standards such as CDISC and client specific requirements. Communicating actively and frequently with other team members and ensuring adherence to working practice documents and SOPs. Co-ordinate with the client regarding data issues, outliers, reviews, etc. Provide CDISC training, guidance, and project leadership to team members. Education & Qualification M.Sc. Statistics, Bachelors/Masters degree in Life Sciences, B. Tech (Any stream) and B. Pharmacy/M. Pharmacy Skills Strong written and oral communication skills and time management skills Ability to effectively prioritize and execute tasks in a high-pressure environment. Ability to work independently, take initiative and complete tasks to deadlines. Ability to work in a team-oriented, collaborative environment. Ability to work positively within a continually changing environment. To be determined in achieving goals Ability to manage multiple projects under tight timelines Knowledge & Experience Strong knowledge of global clinical trial practices, procedures, development process, and clinical trial data flow Knowledge in TLF’s Knowledge in Data Analysis using SAS Knowledge in Generating DEFINE.XML and Reviewers Guides for regulatory submissions. Preferred candidate profile

Project Role : BI Engineer Project Role Description : Develop, migrate, deploy, and maintain data-driven insights and knowledge engine interfaces that drive adoption and decision making. Integrate security and data privacy protection. Must have skills : SAS Analytics Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a SAS BASE & MACROS, you will be responsible for building and designing scalable and open Business Intelligence (BI) architecture to provide cross-enterprise visibility and agility for business innovation. You will create industry and function data models used to build reports and dashboards, ensuring seamless integration with Accentures Data and AI framework to meet client needs. Roles & Responsibilities1.Data Engineer to lead or drive the migration of legacy SAS data preparation jobs to a modern Python-based data engineering framework. 2. Should have deep experience in both SAS and Python, strong knowledge of data transformation workflows, and a solid understanding of database systems and ETL best practices.3.Should analyze existing SAS data preparation and data feed scripts and workflows to identify logic and dependencies.4.Should translate and re-engineer SAS jobs into scalable, efficient Python-based data pipelines.5.Collaborate with data analysts, scientists, and engineers to validate and test converted workflows.6.Optimize performance of new Python workflows and ensure data quality and consistency.7.Document migration processes, coding standards, and pipeline configurations.8.Integrate new pipelines with google cloud platforms as required.9.Provide guidance and support for testing, validation, and production deployment Professional & Technical Skills: Must To Have Skills: Proficiency in SAS Base & Macros Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have 8+ years of exp with min 3 years of exp in SAS or python Data engineering Qualification 15 years full time education