7 Sas Reporting Jobs

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Minimum 3-5 years of work experience in SAS EG and SAS CI Hands on experience in data transferring from different sources to SAS database Expertise in Data Step and Proc Step including merge statement , proc sql and macros , SAS functions Experience in automation and SAS reporting Good communication skill is must. Candidate should independently work deliver the project work as well as deal with client . Location : Any Infosys DC in India Preferred Skills: Technology->ETL & Data Quality->ETL & Data Quality - SAS->SAS - SAS Data Integration Studio

You should have a minimum of 3-5 years of work experience in SAS EG and SAS CI. Your role will involve hands-on experience in transferring data from various sources to the SAS database. You should be an expert in Data Step and Proc Step, including merge statement, proc sql, macros, and SAS functions. Experience in automation and SAS reporting will be beneficial for this role. Good communication skills are a must as you will be expected to work independently to deliver project work and interact with clients. This position is located in any Infosys Development Center in India.,

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Minimum 3-5 years of work experience in SAS EG and SAS CI Hands on experience in data transferring from different sources to SAS database Expertise in Data Step and Proc Step including merge statement , proc sql and macros , SAS functions Experience in automation and SAS reporting Good communication skill is must. Candidate should independently work deliver the project work as well as deal with client . Location Any Infosys DC in India Preferred Skills: Technology-ETL & Data Quality-ETL & Data Quality - SAS-SAS - SAS Data Integration Studio

Roles and Responsibilities Design, develop, test, and deploy data analytics solutions using SAS programming language. Collaborate with cross-functional teams to gather requirements and deliver high-quality reports. Develop complex data models and algorithms to solve business problems. Troubleshoot issues related to data quality, performance tuning, and system integration. Stay up-to-date with industry trends and best practices in analytics. Desired Candidate Profile 2-5 years of experience in SAS programming with expertise in Base SAS, Advance SAS, PROC SQL, SAS Enterprise Guide. Strong understanding of statistics concepts such as regression analysis, time series forecasting, clustering etc. . Proficiency in developing macros for automating tasks and creating visualizations using Graph Builder or Viya.

Clinical SAS programming Location: Remote Immediate/15 D notice Base SAS certified preferred. Key requirements: SAS Programmers with a minimum of 10 years of experience in clinical SAS programming. Python is good to have skillset. 5 years of SAS experience with good understanding of DM and clinical stake holder requirements. Additional details: Responsibilities include (but not limited to) design, development, implementation, and validation of programs created in SAS dashboard applications, to process, analyze and report clinical trial data for review by clinical study teams. Works within established frameworks and ensures high quality is built into own deliverables. Works independently for well-defined scope of work Under guidance, creates catalogue of reports to aid data cleaning activities with moderate scope and medium complexity, but not limited to: Automate manual checks. Automate reconciliation and program edit checks for TPV data to ensure quality. Create tools and repository to minimize data errors at source for collection of lab reference ranges. Program reports to identify missing pages and also detect errors at Subject level. Create reports to measure metrics that can help assess data cleaning status. Create visualizationsand dashboards to identify discrepancies in EDC and TPV data. Maintain created catalogue of reports and perform updates based on ongoing changes to requirements. Provide support as required to ensure availability and performance of developed reports and dashboards for both external and internal users Responsible for completion of documentation associated with programming tasks (e.g. peer review, report specifications etc.) in compliance with applicable SOPs Proactively keeps the lead programmers updated on progress of deliveries. Contribute to implementation of cross-functional projects that are part of clinical programming roadmap.

Salary: 15 to 30 LPA Exp: 3 to 7 years Location: PAN India Notice: Immediate only..!! Key Skills: SQL, Power BI, 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 SQL, 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 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.