197 Base Sas Jobs - Page 8

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

Role Purpose The purpose of this role is to provide significant technical expertise in architecture planning and design of the concerned tower (platform, database, middleware, backup etc) as well as managing its day-to-day operations Do Provide adequate support in architecture planning, migration & installation for new projects in own tower (platform/dbase/ middleware/ backup) Lead the structural/ architectural design of a platform/ middleware/ database/ back up etc. according to various system requirements to ensure a highly scalable and extensible solution Conduct technology capacity planning by reviewing the current and future requirements Utilize and leverage the new features of all underlying technologies to ensure smooth functioning of the installed databases and applications/ platforms, as applicable Strategize & implement disaster recovery plans and create and implement backup and recovery plans Manage the day-to-day operations of the tower Manage day-to-day operations by troubleshooting any issues, conducting root cause analysis (RCA) and developing fixes to avoid similar issues. Plan for and manage upgradations, migration, maintenance, backup, installation and configuration functions for own tower Review the technical performance of own tower and deploy ways to improve efficiency, fine tune performance and reduce performance challenges Develop shift roster for the team to ensure no disruption in the tower Create and update SOPs, Data Responsibility Matrices, operations manuals, daily test plans, data architecture guidance etc. Provide weekly status reports to the client leadership team, internal stakeholders on database activities w.r.t. progress, updates, status, and next steps Leverage technology to develop Service Improvement Plan (SIP) through automation and other initiatives for higher efficiency and effectiveness Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Train direct reportees to make right recruitment and selection decisions Talent Management Ensure 100% compliance to Wipros standards of adequate onboarding and training for team members to enhance capability & effectiveness Build an internal talent pool of HiPos and ensure their career progression within the organization Promote diversity in leadership positions Performance Management Set goals for direct reportees, conduct timely performance reviews and appraisals, and give constructive feedback to direct reports. Ensure that organizational programs like Performance Nxt are well understood and that the team is taking the opportunities presented by such programs to their and their levels below Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Proactively challenge the team with larger and enriching projects/ initiatives for the organization or team Exercise employee recognition and appreciation Deliver NoPerformance ParameterMeasure1Operations of the towerSLA adherence Knowledge management CSAT/ Customer Experience Identification of risk issues and mitigation plans Knowledge management2New projectsTimely delivery Avoid unauthorised changes No formal escalations Mandatory Skills: SAS ADMIN. Experience5-8 Years.

We are looking for a skilled SAS Visual Analytics Developer with 2 to 7 years of experience to join our team at Lericon Informatics Pvt. Ltd.,.The ideal candidate will have a strong background in IT Services & Consulting, particularly in data visualization and analytics. Roles and Responsibility Design and develop interactive dashboards using SAS Visual Analytics to provide insights into complex data sets. Collaborate with cross-functional teams to identify business requirements and develop solutions that meet those needs. Develop and maintain databases, data warehouses, and other data storage systems to support business intelligence initiatives. Create reports and visualizations to communicate findings and recommendations to stakeholders. Troubleshoot issues with existing dashboards and resolve them efficiently. Stay up-to-date with industry trends and emerging technologies in data visualization and analytics. Job Requirements Strong understanding of data visualization principles and techniques, including data modeling and storytelling. Proficiency in programming languages such as SAS, SQL, or Python. Experience with data analysis tools like Tableau, Power BI, or QlikView. Excellent communication and problem-solving skills, with the ability to work effectively in a team environment. Ability to manage multiple projects simultaneously and meet deadlines. Strong attention to detail and quality control, with a focus on delivering high-quality results.

We are looking for a skilled SAS Visual Analytics Developer with 2 to 7 years of experience to join our team at Lericon Informatics Pvt. Ltd., located in [location to be specified]. The ideal candidate will have a strong background in IT Services & Consulting, particularly in data visualization and analytics. Roles and Responsibility Design and develop interactive dashboards using SAS Visual Analytics to provide insights into complex data sets. Collaborate with cross-functional teams to identify business requirements and develop solutions that meet those needs. Develop and maintain databases, data warehouses, and other data storage systems to support business intelligence initiatives. Create reports and visualizations to communicate findings and recommendations to stakeholders. Troubleshoot issues with existing dashboards and resolve them efficiently. Stay up-to-date with industry trends and emerging technologies in data visualization and analytics. Job Requirements Strong understanding of data visualization principles and techniques, including data modeling and storytelling. Proficiency in programming languages such as SAS, SQL, or Python. Experience with data analysis tools like Tableau, Power BI, or QlikView. Excellent communication and problem-solving skills, with the ability to work effectively in a team environment. Ability to manage multiple projects simultaneously and meet deadlines. Strong attention to detail and quality control, with a focus on delivering high-quality results.

Project Role :Application Designer Project Role Description : Assist in defining requirements and designing 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 education Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. Your typical day will involve collaborating with various stakeholders to gather and analyze requirements, creating design specifications, and ensuring that the applications align with business objectives. You will also engage in discussions with team members to refine designs and address any challenges that arise during the development process, ensuring that the final product meets the highest standards of quality 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 cross-functional teams to gather and analyze requirements for application design.- Develop and document design specifications that align with business needs and technical requirements. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAS Analytics.- Strong analytical skills to interpret complex data sets and derive actionable insights.- Experience in application design and development methodologies.- Familiarity with software development life cycle and project management principles.- Ability to communicate technical concepts to non-technical stakeholders. Additional Information:- The candidate should have minimum 3 years of experience in SAS Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. 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 Base & Macros Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with cross-functional teams to gather requirements, developing application features, and ensuring that the applications are optimized for performance and usability. You will also participate in testing and debugging processes to ensure the applications function as intended, while continuously seeking opportunities for improvement and innovation in application development. 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.- Assist in the documentation of application specifications and user guides.- Collaborate with stakeholders to gather and analyze requirements for application development. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAS Base & Macros.- Strong understanding of application development methodologies.- Experience with debugging and troubleshooting applications.- Familiarity with database management and data integration techniques.- Ability to work with version control systems for code management. Additional Information:- The candidate should have minimum 3 years of experience in SAS Base & Macros.- This position is based at our Noida office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role :Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : SAS Analytics Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine the overall architecture and functionality of the data platform. You will be involved in various stages of the project lifecycle, ensuring that all components work harmoniously together to meet the organization's data needs and objectives. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and discussions to gather requirements and feedback from stakeholders.- Mentor junior professionals in best practices and methodologies related to data platform engineering. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAS Analytics.- Strong understanding of data integration techniques and methodologies.- Experience with data modeling and database design principles.- Familiarity with cloud-based data platforms and services.- Ability to analyze and optimize data workflows for performance and efficiency. Additional Information:- The candidate should have minimum 15 years of experience in SAS Analytics.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role :Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : SAS Analytics Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine the overall architecture and functionality of the data platform. You will be involved in various stages of the project lifecycle, ensuring that the data platform meets the needs of the organization and supports its strategic goals. Your role will require you to analyze requirements, propose solutions, and facilitate communication among different teams to drive successful outcomes. Roles & Responsibilities:- Good to have technical core skills which include SAS/Base, SAS Viya 4, SAS Macros, - SAS Enterprise Guide, SAS Stored Processes, SAS Management Console, SAS DI studio, - SAS Studio, SAS Flow, SAS/Access, SAS Environment Manager.- Good to have experience leading bigger team of 10+ people.- Good to have experience in helping in future proposals estimation. Facilitate knowledge sharing and best practices among team members. Technical Experience:- Senior Tech Architect having more than 15+ years of experience in SAS skills and SAS Platform.- Good to have Skills Proficiency in SAS Analytics.- Experience as technical lead for SAS to SAS Viya 4 Migration- Experience in cloud technology AWS/Azure/GCP is a must.- Hands-on experience in SAS skills and ready to take individual contributor role.- Good to have experience leading complex SAS Modernization projects.- Strong understanding of data integration techniques and methodologies.- Experience with data modeling and database design.- Familiarity with cloud-based data platforms and services.- Ability to analyze complex data sets and derive actionable insights. Additional Information:- Good to have flexibility to work from office minimum 3 days in a week as leaders.Education Qualification:- 15 years of full-time education is required. Qualification 15 years full time education

We are looking for a highly motivated and talented individual to join our team as a SAS Fresher - Visual Analytics Developer in Mumbai. The ideal candidate will have 0 to 1 years of experience. Roles and Responsibility Develop and implement data visualization solutions using SAS tools. Design and create interactive dashboards and reports to meet business requirements. Collaborate with stakeholders to understand data needs and provide insights. Work on data quality improvement projects to ensure accuracy and integrity. Participate in code reviews and contribute to the development of best practices. Stay updated with industry trends and emerging technologies in data analytics. Job Requirements Strong understanding of data structures, algorithms, and software design patterns. Experience with programming languages such as Python or R is an added advantage. Excellent problem-solving skills and attention to detail. Ability to work effectively in a team environment and communicate complex ideas clearly. Familiarity with IT Services & Consulting industry concepts and challenges. Strong analytical and critical thinking skills with the ability to interpret complex data sets. Educational qualification: Any Graduate or Postgraduate degree.

Clinical SAS Programmer Location: Bangalore Experience: 3+ years Notice Period: Immediate Joiners to 1 month Preferred Skills:Clinical SAS, Proc SQL, SAS MACROS, Clinical trials, SDTM, ADAM 5 days of WFO and 2 days fixed week off 2 way cab upto 35km

We are looking for a highly skilled and experienced SAS Fraud Management Consultant to join our team at Lericon Informatics Pvt. Ltd. The ideal candidate will have 8-3 years of experience in the field. Roles and Responsibility Develop and implement effective fraud management strategies using SAS. Analyze complex data sets to identify trends and patterns in fraudulent activities. Collaborate with cross-functional teams to design and deploy new fraud prevention systems. Conduct thorough risk assessments and provide recommendations for improvement. Stay up-to-date with industry developments and emerging threats in fraud management. Provide training and support to end-users on new fraud management tools and technologies. Job Requirements Strong understanding of SAS programming language and its applications in fraud management. Experience working with large datasets and performing complex data analysis. Excellent communication and collaboration skills, with the ability to work effectively with stakeholders. Strong problem-solving skills, with the ability to think critically and outside the box. Ability to work in a fast-paced environment and meet deadlines. Strong attention to detail, with a focus on delivering high-quality results.

We are looking for a skilled SAS Developer with 2 to 7 years of experience to join our team at Lericon Informatics Pvt. Ltd., contributing to the development of data analytics solutions. Roles and Responsibility Design, develop, and implement data analytics models using SAS. Collaborate with cross-functional teams to identify business requirements and develop solutions. Develop and maintain large-scale data systems and databases. Analyze complex data sets to extract insights and trends. Create reports and dashboards to present findings to stakeholders. Stay updated with industry trends and emerging technologies in data analytics. Job Requirements Strong proficiency in SAS programming language. Experience with data analytics tools and technologies. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills. Familiarity with IT Services & Consulting industry practices and standards.

We are seeking a talented individual to join our Sales enablement team. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. We will count on you to: Build knowledge and understanding of Mercers Investments business, service offerings and strategic priorities Interact virtually with a variety of onshore stakeholders to understand their specific requirements and deliver them accordingly Sales Reporting & Forecasting: Create and deliver business and sales reports/excel based dashboards, including sales and revenue reporting, performance reporting and business forecasting as requested by business stakeholders/leadership from time to time, using Salesforce and other relevant data sources Support data requirements for ongoing tenders (RFIs/ RFPs/ PQQs/ ITTs etc.) Support adhoc reporting requirements, which may include building new customized reports for the business Liaising with internal Analytics team to create automated solutions/tools/dashboards for standard sales reports to introduce efficiency into the process Lead and enhance the tools used in the sales growth process to boost win rates Sales Operations/Pipeline Management: Ensure data in Salesforce is up to date in order to reflect an accurate pipeline Performing data updates and data maintenance for existing opportunities in the database Creation of live dashboards for the leadership team to have a view into the sales pipeline What you need to have: Graduate in Finance/Commerce, Science, Technology/Engineering, Mathematics or Management would be preferred. Other degrees may also be considered. 2 -4 years of experience in a Sales reporting/Business intelligence/sales operations role Advanced level of MS Excel knowledge Know-how of sales operations/CRM tools such as Salesforce Know-how of BI/data visualization tools such as PowerBI, Tableau Strong analytical and problem solving skills; creativity and innovation Excellent stakeholder management, presentation and communication skills Exceptional customer service focus, along with good business acumen Ability to handle multiple tasks, with tight deadlines and work under pressure What makes you stand out? A high level of business acumen and understanding of various sales intelligence needs of an organization An understanding of the Sales Management process and tools utilized for the same High level of proficiency in all MS Office tools such as Word, PowerPoint etc. Demonstrated understanding of investments/pensions markets Experience of directly dealing with senior internal stakeholders Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

SAS Developer We are seeking an experienced SAS Developer with a strong foundation in SAS programming, including SAS EG (Enterprise Guide) and SAS Viya, to join our growing team. The ideal candidate will be responsible for data manipulation, reporting, and visualization, leveraging various SAS technologies and tools. The role demands a strong technical skill set in SAS, excellent analytical abilities, and the ability to communicate insights effectively. Key Responsibilities: SAS Programming & Development: Write, test, and maintain SAS code using SAS Base, SAS Macros, and SAS SQL. Use SAS Enterprise Guide (EG) for creating reusable workflows and automating data processing tasks. Utilize SAS Viya for advanced analytics and cloud-based processing. Data Analysis & Reporting: Use SAS tools like SAS Viya, SAS Visual Analytics, and SAS EG to create impactful reports, dashboards, and visualizations that support business decision-making. Analyze large datasets to uncover patterns, trends, and actionable insights. Data Transformation & ETL: Handle data extraction, transformation, and loading (ETL) processes efficiently. Ensure that data is properly cleaned, validated, and transformed into usable formats for analysis. Modeling & Statistical Analysis: Apply statistical methods and data models using SAS/STAT, SAS Viya, and SAS/ETS to solve business problems and generate actionable insights. Collaboration & Stakeholder Engagement: Work with business teams, data scientists, and other stakeholders to understand requirements, share insights, and deliver data solutions. Provide regular updates on project progress and results. Optimization & Performance Tuning: Optimize and fine-tune SAS programs, including SAS Viya and SAS EG workflows, to ensure fast processing times and scalable solutions. Documentation & Best Practices: Maintain thorough documentation of SAS programs, reports, and processes. Follow coding best practices, version control, and quality standards to ensure reliable outputs. Continuous Learning & Improvement: Stay updated with new SAS tools and technologies. Proactively explore new methods and techniques to enhance data processing, analysis, and reporting. Required Skills & Experience: SAS Programming: Proficient in SAS Base, SAS EG (Enterprise Guide), and SAS Viya for data analysis, transformation, and visualization. Strong experience with SAS SQL and SAS Macros. Data Manipulation & ETL: Expertise in data transformation and manipulation, including data cleaning and extraction from relational databases. Experience in working with large datasets in SAS. Statistical & Predictive Modeling: Knowledge of statistical analysis using SAS/STAT, SAS/ETS, and machine learning models using SAS Viya for data-driven insights. Data Visualization: Experience in creating interactive and insightful dashboards and reports using SAS Visual Analytics (VA), SAS Viya, and SAS EG. Business Analytics: Experience analyzing business data, creating insights, and preparing reports using SAS tools. Ability to communicate findings to non-technical stakeholders. Experience with Cloud-Based Tools: Familiarity with SAS Viya and cloud platforms (AWS, Azure) for large-scale data processing and analytics. Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot and resolve data-related issues. Desirable Skills: Data Integration: Knowledge of integrating data from multiple sources and systems (e.g., SAP, CRM, and databases) into SAS. RPA & Automation: Familiarity with RPA (Robotic Process Automation) tools and their integration with SAS for process automation. Big Data Tools: Understanding of big data technologies like Hadoop, Spark, and Hive is a plus. Business Intelligence: Experience with other BI tools such as Tableau, Power BI, or QlikView. Educational Qualification: Bachelors/Master’s Degree in Computer Science, Mathematics, Statistics, Engineering, or a related field. Relevant SAS Certifications (e.g., SAS Certified Base Programmer, SAS Advanced Programmer, SAS Viya certifications) are a plus. Soft Skills: Communication: Excellent verbal and written communication skills to interact with business stakeholders and provide clear insights. Collaboration: Ability to work collaboratively with cross-functional teams and build strong relationships with stakeholders. Time Management: Strong organizational skills to manage multiple tasks and meet deadlines effectively.

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Mandatory Skills: SAS Viya.Experience: 5-8 Years.

Entity :- Accenture Strategy & Consulting Job location :- Gurgaon, Bangalore, Pune & Mumbai About S&C - Global Network :- Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role The ideal candidate shall, Help the team in designing, developing, validating, monitoring, and deploying advanced Financial Crime models for different client problems. Interface with clients/account team to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Have ability to consume data from multiple sources and present relevant information in a crisp and digestible manner that delivers valuable insights. Have strong communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders. Qualification Who we are looking for Have Masters degree in mathematics, statistics, economics, or related field or MBA from top-tier universities with a strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work. 3 - 5 years of relevant Financial Crime Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Anti Money Laundering, Financial Crime, Transaction Monitoring, Customer KYC/CDD, Customer screening, etc. Advanced skills in development, validation and monitoring of AML analytics models, strategies, visualizations. Understanding of evolving methodologies/ tools/ technologies in the Financial Crime management space. Expertise in one or more domain/industry including regulations, frameworks etc. Experience in building models using AI/ML methodologies. Modeling:Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of data processes, ETL and tools/ vendor products such as Fenergo, NICE Actimize, SAS AML, Quantexa, Ripjar, etc. Key Responsibilities: Engagement Execution: Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of financial crime analytics/management solutions for Accentures clients. Advise clients on a wide range of Financial Crime Management/ Analytics initiatives. Projects may involve Financial Crime Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes. Develop and frame Proof of Concept for key clients, where applicable. Practice Enablement: Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Financial Crime Analytics and Management. Travel:Willingness to travel up to 40% of the time. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Project Role : BI Architect Project Role Description : Build and design scalable and open Business Intelligence (BI) architecture to provide cross-enterprise visibility and agility for business innovation. Create industry and function data models used to build reports and dashboards. Ensure the architecture and interface seamlessly integrates with Accentures Data and AI framework, meeting client needs. Must have skills : SAS Base & Macros Good to have skills : NAMinimum 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

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities SAS, Python, Base SAS Certified, Advanced SAS Certified Technical and Professional Requirements: SAS, Python, Base SAS Certified, Advanced SAS Certified Preferred Skills: Technology-sas-sas

Responsibilities: Develop and maintain SAS programs using Base SAS, SAS EG and SAS Macros to support AML models and compliance reporting Design and support ETL workflows to extract, clean, transform, and load data from various sources Support development and tuning of AML rules, thresholds, and scoring logic Troubleshoot issues, identify data anomalies, and implement corrective fixes or enhancements Collaborate with model developers, compliance analysts, and other agile members to deploy model updates Participate in testing, UAT, and deployment of new or updated models Key Requirements: Bachelor's degree in Computer Science or a technical related field 3-5+ years of hands-on experience with SAS EG, Base SAS and SAS Macros 5+ years of experience working with ability to write, tune, and debug complex queries Experience with scripting and automation Strong experience with CI/CD tools such as GitHub Actions, Harness Solid understanding of Agile methodologies and experience working in Scrum teams Ability to troubleshoot, debug, and optimize backend systems at scale Mandatory Skills: SAS DI.Experience: 3-5 Years.

Provide experienced technical expertise to develop process methodology for department to meet internal and external clients needs. Plan and coordinate the development of integrated programming solutions serving the full spectrum of statistical programming needs. Provide technical expertise and leadership to the department. Provide internal consulting services, including specifications and user needs analysis for complex project or client requirements. Essential Functions Perform, plan and co-ordinate the following for complex studies: (i) the programming, testing, and documentation of statistical programs for use in creating statistical tables, figures, and listing summaries and (ii) the programming of analysis databases (derived datasets) and transfers of data for internal and external clients. May perform and plan the programming of database quality control checks. Program and plan the integration of databases from multiple studies or sources. Develop and co-ordinate programming documentation including plans and specifications, as appropriate, for complex studies. Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to teams and department, for complex studies. Perform, plan and co-ordinate the development, implementation and validation of new process technologies, macros and applications. Fulfill project responsibilities at the level of statstical team lead for single complex studies or group of studies. Understand the Scope of Work, budget and quote assumptions, estimate the work completed, manage Out of Scope and resource forecasts for single studies. May manage project budget and resource requirements, and provide revenue forecasts for single studies. Provide training and guidance to lower level staff. Qualifications Masters Degree Computer science or related field and 3 years relevant experience Req Or Bachelors Degree Computer science or related field and 4 years relevant experience Req Equivalent combination of education, training and experience in lieu of degree Req Knowledge of statistics, programming and/or clinical drug development process Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro Language Good organizational, interpersonal, leadership and communication skills Ability to effectively manage multiple tasks and projects Excellent accuracy and attention to detail Ability to establish and maintain effective working relationships with coworkers, managers and clients

Bachelors degree from reputable university preferably in science/ mathematics related fields Preferred SAS certification Technical Skills Requirements Must have expertise of SAS Base, and good knowledge of SAS graph and SAS Macros. Capable of implementing more advanced statistical procedures as per specifications provided by biostatistician. Must have excellent knowledge of CDISC standards (SDTM and ADaM) Thorough understanding of relational database components and theory. Excellent application development skills. Strong understanding of clinical trial data and extremely hands on in data manipulations, analysis and reporting of analysis results. Good understanding of ICH E6, ICH E3, ICH E8, ICH E9 and clinical research processes. Experience requirements Minimum of 8+ years of experience in Statistical Programming in pharmaceutical or medical devices industry Desirable requirements Good verbal and written communication skills. Ability to work on multiple projects, plan, organize and prioritize activities. Responsibilities At a minimum, following activities are required to be performed; Perform all responsibilities associated with the Senior Programmer role. Assist all the Sr. Programmers and Programmers in their day to day activities. Act as escalation point for Sr. Programmer and Programmer. Regularly communicates with the sponsor on the progress of programming aspects of the project and proactively anticipates issues and works with the sponsor on resolution of the problems Provide input and/or write the programming specifications Serve as subject matter expert on all aspects of SAS programming Understand pharmaceutical industry standards and trends and proactively plan, develop, and implement Develop consistent practices of clinical and statistical review of output and mentor programming staff Check for consistency across therapeutic areas Identify, plan, and oversee the implementation and success measures of all process improvement initiatives Maintain expertise in the use of the SAS Macros and determine macro development priorities Other responsibilities as defined on ad-hoc basis by senior management. Relationship & Interactions Clinical data manager Biostatisticians Medical Coders