55 Proc Sql Jobs - Page 3

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.

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.

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