12996 Sas Jobs - Page 48

About The Role Skill required: Marketing Operations - Campaign Analytics & Reporting Designation: Digital Mktg Advisory Associate Qualifications: Any Graduation Years of Experience: 1 to 3 years Language - Ability: English(International) - Proficient What would you do? Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services.Role requires Digital Marketing Ads & Promotion creation/design. Pr...

About The Role Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Siemens Tecnomatix Plant Simulation Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :This role is for a domain expert in the Consumer Packaged Goods (CPG) industry with extensive simulation experience. You will lead client engagements, leveraging simulation tools like Technomatix, Flexsim, or Simio to optimize production, warehousing, and distribution proces...

Design, develop, and implement SAS programs for data analysis and reporting.Collaborate with cross-functional teams to identify business requirements and develop solutions.Develop and maintain complex statistical models using R and SAS tools. Required Candidate profile Strong knowledge of SAS programming language and its applications. Experience with R programming language is an added advantage. Ability to work collaboratively in a team environment.

Develop and maintain complex statistical models and data visualizations using SAS.Collaborate with cross-functional teams to design and implement data-driven solutions.Analyze large datasets to identify trends and patterns Required Candidate profile Strong proficiency in SAS programming language, including Base SAS and Enterprise Guide. Experience with statistical modeling techniques, such as regression and time series forecasting.

Develop and maintain complex statistical models and data visualizations using SAS.Collaborate with cross-functional teams to design and implement data-driven solutions.Analyze large datasets to identify trends and patterns,. Required Candidate profile Strong proficiency in SAS programming language,including Base SAS, Enterprise Guide, and Macros.Strong communication and collaboration,with the ability to work effectively with cross-functional teams.

Design, develop, and maintain complex statistical analysis systems using SAS.Collaborate with cross-functional teams to ensure timely delivery of high-quality results. Required Candidate profile Strong knowledge of SAS programming language and its applications in clinical trial data management. Experience with SQL database management systems and querying languages.

Design, develop, and maintain clinical databases using R/SQL.Collaborate with cross-functional teams to ensure data quality and integrity.Develop and implement data validation and verification processes. Required Candidate profile Strong knowledge of R/SQL programming languages. Experience working with clinical data management systems. Understanding of database design principles and data modeling techniques.

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Python, 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 an...

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI an...

About ProcDNA ProcDNA is a global rocket ship in life sciences consulting, helping pharma and biotech companies accelerate impact across Commercial Analytics, R&D, and Clinical Data Management. We fuse design thinking with cutting-edge technology to deliver game-changing solutions - from clinical trial data capture, cleaning, and regulatory submissions to AI-powered R&D acceleration and commercial strategy. Since our launch during the pandemic, we’ve grown into a passionate team of 350+ across 8 offices worldwide, all learning and innovating together. Here, you won’t be stuck in a cubicle - you’ll be shaping the future of life sciences alongside brilliant minds. Ready to join our epic growth...

Design, develop, and maintain complex statistical analysis systems using SAS.Collaborate with cross-functional teams to ensure timely delivery of high-quality results.Develop and implement efficient data processing Required Candidate profile Strong knowledge of SAS programming language and its applications in clinical trial data management. Experience with SQL programming language and database management systems.

Develop and maintain complex statistical models and algorithms using R and SAS.Design and implement data visualizations to effectively communicate insights to stakeholders.Collaborate with cross-functional teams Required Candidate profile Strong proficiency in R and SAS programming languages. Experience with data analysis, modeling, and visualization techniques. Excellent problem-solving skills and attention to detail

Develop and maintain SAS programs for clinical trial data management, including data cleaning, transformation, and visualization.Collaborate with cross-functional teams to ensure timely delivery of high-quality deliverables. Required Candidate profile Strong knowledge of SAS programming language, including Base SAS, Enterprise Guide, and Macros. Experience with clinical trial data management systems, such as CDISC or Oracle Argus Safety.

Develop and implement statistical analysis plans for clinical trials, ensuring compliance with regulatory requirements.Collaborate with cross-functional teams to design and conduct statistical studies, including data management Required Candidate profile Strong understanding of statistical concepts, including hypothesis testing, confidence intervals, and regression analysis. Experience working with clinical trial data,data management, cleaning.

Design, develop, and implement clinical trial data management systems using CDMS expertise.Collaborate with cross-functional teams to ensure seamless integration of clinical data management systems. Required Candidate profile Strong understanding of clinical trial data management principles and practices. Proficiency in CDMS, SAS programming language, and SQL database management systems.

Develop and maintain databases, spreadsheets, and reports for tracking and analyzing clinical trial data.Collaborate with cross-functional teams to ensure accurate and timely delivery of high-quality results. Required Candidate profile Strong knowledge of SAS programming language and its applications in clinical trial data analysis. Experience with Veeva or similar systems is desirable.

Analyze and interpret complex clinical trial data to inform business decisions.Develop and maintain databases, spreadsheets, and reports using SAS and Veeva.Collaborate with cross-functional teams Required Candidate profile Strong proficiency in SAS programming language and Veeva software. Experience working with large datasets and performing complex data analysis tasks. Excellent problem-solving skills

Design, develop, and implement clinical trial data management systems using SAS.Develop and maintain databases for clinical trial data, ensuring data quality and integrity.Collaborate with cross-functional teams Required Candidate profile Strong knowledge of SAS programming language, including Base SAS and Enterprise Guide. Experience with clinical trial data management, statistical analysis, and database development.

Design, develop, and implement clinical data programming solutions using R/SQL.Collaborate with cross-functional teams to ensure accurate and timely delivery of projects.Develop and maintain complex databases and data systems. Required Candidate profile Strong knowledge of R/SQL and its applications in clinical data programming. Experience working with large datasets and developing scalable solutions. Excellent problem-solving skills

Develop and maintain complex statistical models and algorithms using R and SAS.Design and implement data visualizations to effectively communicate insights to stakeholders.Collaborate with cross-functional teams Required Candidate profile Strong proficiency in R and SAS programming languages. Experience with data analysis, modeling, and visualization techniques. Excellent problem-solving skills and attention to detail.

Design, develop, and maintain clinical data systems using R/SQL.Collaborate with cross-functional teams to ensure data quality and integrity.Develop and implement data validation and verification processes. Required Candidate profile Strong knowledge of R/SQL programming languages. Experience working with clinical data systems and databases. Understanding of data modeling and data warehousing concepts.

Design, develop, and maintain complex statistical analysis systems using SAS.Collaborate with cross-functional teams to ensure timely delivery of high-quality results.Develop and implement data validation and quality control processes Required Candidate profile Strong knowledge of SAS programming language and its applications in clinical trial data management. Experience with SQL database management systems and data analysis tools.

Design, develop, and implement data models and algorithms to solve complex problems. Write efficient and well-documented code in R and SAS. Collaborate with cross-functional teams to identify business requirements Required Candidate profile Strong knowledge of R and SAS programming languages. Experience with data structures, algorithms, and software design patterns. Excellent problem-solving skills and attention to detail.

Analyze and interpret complex clinical trial data to inform business decisions.Develop and maintain databases, spreadsheets, and reports using SAS and Veeva.Collaborate with cross-functional teams to design Required Candidate profile Strong knowledge of SAS programming language and Veeva software. Experience working with large datasets and performing complex data analysis tasks. Excellent problem-solving skills

Essential Responsibilities: • Develop, manage, and execute data driven solutions and results primarily for the Enterprise Risk Management team. • Support Risk functions and activities that including Risk Aggregation (RA) and Enterprise Risk Assessment program (ERA). • Extract data sets for reporting and data quality, and perform debugging and root cause analysis where necessary. • Work with ERM team to automate data sourcing while maintaining data validation calculations, controls, and Excel template for ERA and RA processes. • Update Tableau dashboards report content and layout, and integrate reporting into executive and committee presentations. • Support ERM projects to enhance the process...