5 Sas Software Jobs

Key Responsibilities Develop and maintain R programs for generating CDISC SDTM and ADaM datasets and tables, listings, and figures in accordance with clinical trial data requirements Ensure compliance with industry standards and regulatory requirements Collaborate with cross-functional teams to understand and implement project-specific data needs Provide technical expertise and support for data analysis and reporting tasks Perform quality control and validation of outputs to ensure accuracy and consistency Qualifications Bachelor&aposs degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Data Science) Minimum of 3 years of experience in R programming including familiarity with R packages used in the analysis and reporting of data for clinical trials Familiarity with data visualization techniques and tools in R Experience with clinical trial data and familiarity with CDISC ADaM and SDTM standards Strong analytical and problem-solving skills Excellent communication and ability to work in a team environment Desirable Skills Knowledge of other open-source packages and tools Experience with SAS software Familiarity with CRAN, POSIT, and other open-source repositories and products Learn more about our EEO & Accommodations request here. Show more Show less

As an Associate Technical Support Analyst at our Pune, India location, you will be an integral part of the Technical Support Operations Command team. Your main responsibilities will include managing customer cases, troubleshooting issues, and collaborating with experts across SAS. In this role, you will have the opportunity to work closely with global teams, contribute to product quality, and provide exceptional support for SAS software applications running on multiple platforms. Your key responsibilities will involve providing end-to-end technical support, managing SAS Managed Services cases, and taking ownership of high-priority customer calls and issues. Effective communication with customers via phone, email, and Microsoft Teams, as well as accurate documentation of all customer interactions, will be crucial throughout the issue lifecycle. Additionally, you will be expected to build expertise in SAS software usage, programming, and relevant third-party tools, and contribute to proactive materials like SAS Notes and technical documents. We are looking for a highly motivated problem solver who thrives in a collaborative environment and enjoys continuous learning. You should be a curious and creative thinker with excellent research skills, able to manage multiple tasks under pressure with attention to detail, and communicate technical ideas effectively in simple language. The required qualifications for this role include a Bachelor's degree or equivalent combination of education, training, and experience, along with at least 5 years of experience in technical support or a related field. Strong knowledge of at least one operating system (Windows, UNIX, or Linux) and excellent written and verbal communication skills in English are also essential. Prior experience with complex software support or technical documentation is a plus. It would be beneficial if you have exposure to SAS language, procedures, or similar analytics tools, experience with support tools like ticketing systems, and a desire to mentor others or contribute to internal training content. This role is ideal for someone who is service-oriented, technically curious, and eager to grow in a fast-paced, global technical environment. At SAS, diversity and inclusion are core values, and we believe in the unique talents that each individual brings to our workforce. We are committed to creating a diverse and inclusive environment where everyone is valued and welcomed. If you are a proactive problem solver with a passion for technology and customer support, and you are ready to thrive in a collaborative and dynamic team, we encourage you to apply for this role and be a part of our global team at SAS.,

The Supply Chain Planning Data Scientist role at HP involves collecting, cleaning, preprocessing, and analyzing large datasets to derive meaningful insights and actionable recommendations. You will be responsible for creating clear and effective visual representations of data using charts, graphs, and dashboards to communicate findings to technical and non-technical audiences, empowering teams across the organization to work more efficiently and effectively. As a member of a team of data science engineers, you will be involved in the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property. You will create plans, data collection and analysis procedures, and data insight visualizations for assigned projects, collaborating with internal and external partners to perform experiments and validations in accordance with the overall plan. In this role, you will identify and drive scalable solutions for building and automating reports, data pipelines, and dashboards to monitor and report on operational performance metrics. Collaboration with cross-functional teams to understand business requirements and develop data-driven solutions is a key aspect of this role. Additionally, you will provide guidance and mentoring to less-experienced staff members, solve difficult and complex problems with a fresh perspective, and lead moderate to high complexity projects, delivering professionally written reports, and supporting the realization of operational and strategic plans. The ideal candidate for this position should have a four-year or graduate degree in Mathematics, Statistics, Economics, Computer Science, or a related discipline, or commensurate work experience or demonstrated competence. Typically, candidates should have 4-7 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field, or an advanced degree with 3-5 years of work experience. A preferred certification in Programming Language/s (SQL, Python, or similar) is recommended. Proficiency in Agile Methodology, Business Intelligence, Computer Science, Dashboard, Data Analysis, Data Management, Data Modeling, Data Quality, Data Science, Data Visualization, Data Warehousing, Extract Transform Load (ETL), Machine Learning, Power BI, Python, R, SAS, SQL, Statistics, and Tableau is desired. Additionally, skills in Effective Communication, Results Orientation, Learning Agility, Digital Fluency, and Customer Centricity are valued. This role at HP impacts multiple teams and may act as a team or project leader, providing direction to team activities and facilitating information validation and team decision-making processes. The complexity of the position involves responding to moderately complex issues within established guidelines. HP is a technology company that operates in more than 170 countries worldwide, committed to creating technology that makes life better for everyone, everywhere. The company values diversity, equity, and inclusion, creating a culture where everyone is respected, can be themselves, and contribute to something bigger than themselves. HP celebrates the notion that individuals can belong and bring their authentic selves to work, fostering innovation and growth. Join HP in reimagining and reinventing what's possible in your career and the world around you. Embrace tough challenges, disrupt the status quo, and create what's next alongside a team of talented individuals dedicated to making a meaningful difference. Thrive at HP and be a part of shaping a better future for all.,

Job Description At AadiSwan, we are driving digital transformation in the financial services sector by specializing in lending solutions. Our innovative technology platforms empower financial institutions to streamline operations, enhance decision-making, and meet evolving market needs with precision. Our suite of products, including CredPro, CADPro, EWSPro, and ESMSPro, address critical aspects of financial management, from underwriting and risk assessment to regulatory compliance and ESG management. These solutions, built by experts with deep domain knowledge, are not only tech-driven but also rooted in a profound understanding of industry challenges and opportunities. With successful implementations across India and the Middle East, AadiSwan combines advanced automation with deep industry insights to enable clients to boost operational efficiency, reduce costs, and achieve faster time-to-market. The flexibility and scalability of our platforms ensure support for a wide range of business models, making us a trusted partner for institutions aiming to enhance their lending portfolios and expand their digital capabilities. Committed to empowering clients with the tools needed for nation-building, bridging the credit gap, and fostering sustainable growth, we invite you to join us on this journey towards redefining financial excellence and resilience. Role Description This full-time on-site role as a SAS Application Security Architect based in Delhi, India, entails overseeing the security aspects of SAS applications. Responsibilities include ensuring data integrity and confidentiality, implementing security measures against cyber threats, collaborating with cross-functional teams for designing and implementing security solutions, conducting risk assessments, and providing recommendations to enhance the security posture of SAS applications. Qualifications - Proficiency in SAS software and experience in application security - Knowledge of security protocols, encryption techniques, and vulnerability assessment - Strong understanding of cybersecurity best practices and industry standards - Ability to analyze security risks and develop appropriate solutions,

Overview: We are seeking a highly skilled SAS Administrator to join our team. The SAS Administrator will be responsible for the installation, configuration, maintenance, and support of SAS (Statistical Analysis System) software environments. This role requires a detail-oriented professional with strong technical expertise in SAS and a deep understanding of system performance optimization and data security. Key Responsibilities: Install, configure, and maintain SAS software, including SAS servers, clients, and third-party components. Configure and manage SAS metadata, user permissions, and authentication protocols. Monitor and optimize system performance, ensuring high availability and reliability. Perform routine maintenance tasks such as applying patches, updates, and hotfixes. Manage backup and recovery processes for SAS environments. Troubleshoot and resolve system-related issues promptly. Provide technical support to SAS users, including troubleshooting and resolving issues related to SAS applications and data. Develop and deliver training sessions and documentation for end-users and technical staff. Ensure that SAS environments comply with organizational security policies and standards. Implement and maintain data security measures to protect sensitive information. Conduct regular audits and assessments to identify and mitigate security vulnerabilities. Monitor system performance and resource usage, identifying and addressing potential bottlenecks. Optimize SAS processes and workflows to improve efficiency and performance. Collaborate with other IT teams to integrate SAS with other systems and applications. Work closely with data analysts, statisticians, and business users to understand their requirements and provide tailored solutions.