17 Sas Analytics Jobs

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 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.

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

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.

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

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAS Analytics, Python (Programming Language) Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with the team to develop and implement solutions, ensuring that applications are designed and built to meet the needs of the business. You will also be responsible for configuring and customizing applications based on user requirements, as well as troubleshooting and resolving any application issues that arise. With your expertise in application development, you will play a key role in driving the success of our projects. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Design and build applications based on business process and application requirements. Configure and customize applications to meet user requirements. Troubleshoot and resolve any application issues that arise. Collaborate with the team to develop and implement solutions. Professional & Technical Skills: Must To Have Skills:Proficiency in SAS Analytics, Python (Programming Language). 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. 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 Analytics, Python (Programming Language) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the smooth functioning of applications and addressing any issues that may arise. Your typical day will involve collaborating with the team to understand requirements, designing and developing applications, and testing and debugging code to ensure optimal performance and functionality. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Collaborate with the team to understand application requirements. Design and develop applications based on business process and application requirements. Test and debug code to ensure optimal performance and functionality. Address any issues or bugs that may arise in the applications. Provide support and maintenance for existing applications. Stay updated with the latest industry trends and technologies. Assist in the documentation of application design, development, and maintenance processes. Professional & Technical Skills: Must To Have Skills:Proficiency in SAS Analytics, Python (Programming Language). 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. 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 Analytics, Python (Programming Language) Good to have skills : NA Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the smooth functioning of applications and addressing any issues that may arise. Your typical day will involve collaborating with the team to understand requirements, designing and developing applications, and testing and debugging code to ensure its functionality and performance. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work-related problems. Collaborate with the team to understand application requirements. Design and develop applications based on business process requirements. Test and debug code to ensure its functionality and performance. Address any issues or bugs that arise in the applications. Provide support and maintenance for existing applications. Professional & Technical Skills: Must To Have Skills:Proficiency in SAS Analytics, Python (Programming Language). 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. 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 Analytics Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education 1. 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 Qualifications 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : SAS Analytics Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the effort to design, build, and configure applications Act as the primary point of contact for the project Manage the team and ensure successful project delivery Collaborate with multiple teams to make key decisions Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: Must To Have Skills:Proficiency in PySpark Good To Have Skills:Experience with SAS Analytics 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 a minimum of 5 years of experience in PySpark This position is based at our Gurugram office A 15 years full-time education is required Qualifications 15 years full time education

Role Description Engineer: Technical specialist Your key responsibilities Liaising with technical architects to develop strong understanding of the architecture and technology stack. Developing test plans and potentially even detailed test scenarios and test cases; ensuring maximum test coverage. Ensuring that testing standards, process, procedure, and methodology are adhered to. Planning and execution of test cycles in an efficient and organized way. Thoroughly review and document quality before handover to SIT/UAT. Test Execution according to plan and thorough analysis of potential defects to help with triaging. Accurately reporting test preparation and execution progress identifying and escalating risks to delivery. Promoting the principles and ideals of automation testing and transferring skills to other QA staff as appropriate. Maintain a current working knowledge of the key business systems and future developments. Work with Test Managers, change team to identify the quality implications of known bugs and the impact of proposed changes to product definition on the testing process. Review requirements, specifications, user documentation, help files, and other project documentation to assure quality of the products and tests to be developed. Ensure proper version control and configuration management of all test objects developed and test environments used. Apply risk-based techniques to develop, maintain, and execute test suites. Work with the Development team/Automation Team to capture and reuse automated Unit Test Cases, Test Stubs and Drivers, and other Development test objects. Supporting the build master implement/improve build test processes, environments, and scripts. Experience and working knowledge of tools such as ALM, creating test plans and test cases. Tools Knowledge such as :- SAS on Mainframe , Bit Bukcet, Jira, Servcie Now etc. Your skills and experience Bachelor's degree in B.Tech/B.A ,Computer Science, Information Systems, Statistics, or related field.Proven experience as a SAS Business Analyst or similar role, with a minimum of 7 years of experience in data analysis and SAS programming.. Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders. Ability to work independently and collaboratively in a fast-paced environment with multiple stakeholders and competing priorities. Certification in SAS programming or SAS analytics (e.g., SAS Certified Base Programmer, SAS Certified Predictive Modeler) is a plus. Should have 9-11 years total test experience with 5-7 years of relevant SAS/Mainframe. Experience in leading environments set-up preparation for Integration/Acceptance testing. Technical skill required:- SAS/Mainframe ( Mandatory) Liaising with business analyst to develop strong understanding of the business process and system requirements.

Job Overview Provide comprehensive clinical lab data expertise as part of a team to develop and maintain Laboratory Data Management (LDM) tasks for the studies awarded to IQVIA Laboratories and meets the external client data reporting needs. May be required to support the development of new systems and processes related to the electronic data transfer process, or the configuration of business rules and master data in study and laboratory information systems. Understand and comply with core standard operating procedures and working instructions. Essential Functions • Capable of taking up, independently or providing inputs for, Python programming activities pertaining to ongoing study requirements or any other adhoc projects in the department • Create and/or review all appropriate data management documents • Understand and comply with core standard operating procedures and working instructions • Develop and maintain good communications and working relationships with LDM team. Serve as back-up for other Data Team Leads • Interact with internal and external team members to negotiate timelines and responsibilities • Train and mentor junior staff in DM expertise • Ensure service and quality meet agreed upon timelines and deliverables in data transmission agreements. Ensure quality checks performed on data files before transmission and obtain peer-review where required. Review own work for accuracy and completeness • Record all evidence of the data transmission process from data file definition to closure of study • Ensure that all specification and design documentation are filed and stored according to company policy • Ensure the internal and external customer queries are timely addressed and resolved effectively • Multiple communication styles and skill to effectively broker, audience specific [peers, senior team members, internal/external customers] business and interpersonal relationships that lead to positive outcomes and successful business results • Perform other duties as directed by the functional manager • Manages the delivery of projects through full data management study life-cycle, from setup to lock • Supports the identification and resolution of service level issues, as well as the proactive development of contingency plans to mitigate laboratory risk • Works with customers, scientific team, data managers and internal team members to manage issue escalation, workload projections, and provide technical expertise • Interacts and communicates with internal and external customers to ensure that timelines are met and that data is delivered following company guidelines and regulatory compliance • With guidance, manages project timelines and quality issues, and identifies and justifies out-of-scope client requests • Assists internal team with data entry, review and validation of laboratory reports, and serves as back-up contact when needed • Performs comprehensive quality control and edit check procedures • Supports service delivery with comprehensive process and technical expertise in executing projects which includes identifying and resolving issues. Effectively works on corrective and develop preventive action plans Qualifications Bachelor's Degree (B. E, B. Tech, B. Pharm): Computer Science with Software Configuration and Validation experience Req • 2-3 years of experience in Data Management and Python Programming. .

Skill required: Life Sciences (AR&D) Services - SDTM Programming Designation: Business Advisory Senior Analyst Qualifications: BTech Years of Experience: 5 to 8 years What would you do? You will be aligned with our Life Sciences R&D vertical. Our services span across the entire life sciences enterprise, from research laboratories, clinical trials support, and regulatory services, to pharmacovigilance and patient services solutions. Employees under this span will be a part of one of the sub-offerings - Clinical, Pharmacovigilance & Regulatory, helping the world's leading biopharma companies bring their vision to life - enabling them to improve outcomes by converging around the patient, connecting scientific expertise with unique insights into the patient experience.In this role, you will be expected to program mapping of eCRF and external data into SDTM standards using SAS/ETL tools as applicable. What are we looking for? SAS Analytics SAS Clinical SAS Visual Text Analytics Agility for quick learning Adaptable and flexible Ability to work well in a team Ability to perform under pressure Ability to meet deadlines SDTM MappingSAS Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualifications BTech

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAS Analytics, Python (Programming Language) Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with the team to develop and implement solutions, ensuring that applications are designed and built to meet the needs of the business. You will also be responsible for configuring and customizing applications based on user requirements, as well as troubleshooting and resolving any application issues that arise. With your expertise in application development, you will play a key role in driving the success of our projects. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Design and build applications based on business process and application requirements. Configure and customize applications to meet user requirements. Troubleshoot and resolve any application issues that arise. Collaborate with the team to develop and implement solutions. Professional & Technical Skills: Must To Have Skills:Proficiency in SAS Analytics, Python (Programming Language). 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. 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 Analytics, Python (Programming Language) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the smooth functioning of applications and addressing any issues that may arise. Your typical day will involve collaborating with the team to understand requirements, designing and developing applications, and testing and debugging code to ensure optimal performance and functionality. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Collaborate with the team to understand application requirements. Design and develop applications based on business process and application requirements. Test and debug code to ensure optimal performance and functionality. Address any issues or bugs that may arise in the applications. Provide support and maintenance for existing applications. Stay updated with the latest industry trends and technologies. Assist in the documentation of application design, development, and maintenance processes. Professional & Technical Skills: Must To Have Skills:Proficiency in SAS Analytics, Python (Programming Language). 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. 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 Analytics, Python (Programming Language) Good to have skills : NA Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the smooth functioning of applications and addressing any issues that may arise. Your typical day will involve collaborating with the team to understand requirements, designing and developing applications, and testing and debugging code to ensure its functionality and performance. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work-related problems. Collaborate with the team to understand application requirements. Design and develop applications based on business process requirements. Test and debug code to ensure its functionality and performance. Address any issues or bugs that arise in the applications. Provide support and maintenance for existing applications. Professional & Technical Skills: Must To Have Skills:Proficiency in SAS Analytics, Python (Programming Language). 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. Qualification 15 years full time education