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Job Title


Hiring for SAS&SQL-Gurgaon (Early Joiners)


Company : EXL


Location : Gurgaon, Haryana


Created : 2025-05-05


Job Type : Full Time


Job Description

Responsibilities:Project task management Define project deliverables, controls and ensure adherence to these Supervise and assist the team on project execution and delivery Monitor project progress and ensure adherence to client expectation Communications, including deck writing Coordination of all sub-team efforts; Creation of project plan, define milestones, timelines, review plan with the team Delivery of output Facilitation and gathering of client feedback on problem structuring Understand and define business problems, get all background information and collect relevant data points Create solution hypothesis and get client buy in, discuss and align on end objective, staffing need, timelines and budget Effective management of frequency of feedback loop with offshore resources Build capabilities in junior team membersRequired Skills:Bachelor's degree in Computer Science, Statistics, Or related field 5+ years of experience with SAS programming (5-10 years) Experience SAS 9.4 (base and advance) Experience SAS Viya 3.3,3.5 and 4 (base and advance) Experience in migration from SAS EG & SAS Viya: Expertise in converting .EGP file to .Flow in Viya Experienced in scheduling regular backups/restore strategies. Experienced in reading SAS logs to find out root cause issues. Experienced in preparing documentation of Installation and standard operating procedures Scheduling the jobs and monitoring for day-to-day activities, escalating problems to the tech support if any issues arise. Support end-users with access and connectivity issues. Establish a formal, regularly scheduled backup process. Working with Development and Testing teams to prioritize and handle issues to resolve quickly. Extract, transform, and load (ETL) data from various sources into SAS datasets. Perform data quality checks and implement data cleansing and validation procedures. Optimize data processing and storage for efficient performance.