SAS BASE

LTM; Chennai District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

LTM in Chennai seeks a SAS DWBI expert with 5–8 years’ experience to join our analytics team. You will handle SAS, ETL, SQL, and data warehouses, translating business needs into solid data solutions with accuracy and speed.

Proficiency with Teradata and SAS EG, plus strong analytical and communication skills, will help drive timely, data-driven decisions across the organization, collaborating effectively with cross-functional teams.

Qualifications

• 5–8 years of SAS experience in DWBI
• Experience with ETL and data warehouses
• Proficiency in SQL and relational databases

Skills

SAS DWBI

ETL Methods

SQL

Analytical skills

Cross-functional leadership

Tools

Teradata

SAS EG

Job description

Role Description

Mandatory Skills

SAS BASE, SAS Enterprise Grid & SQL

Requirements

Candidate must be experienced working in projects involving SAS

Other Ideal Qualifications Include Experiences In

• SAS Base SAS
• Teradata
• SAS EG
• Experience with text analytics and access methods for semistructured and unstructured data
• Understands where to obtain information needed to make the appropriate decisions
• Demonstrates ability to break down a problem to manageable pieces and implement effective timely solutions
• Identifies the problem versus the symptom
• Manages problems that require involvement of others to solve
• Reaches sound decisions quickly
• Carefully evaluates alternative risks and solutions before taking action
• Optimizes the use of all available resources
• Develops solutions to meet business needs that reflect a clear understanding of the objectives practices and procedures of the corporation department and business unit

Skills

• The Candidate must have 5-8 yrs of experience in SAS especially in the DWBI area
• Exceptionally strong analytical and problem solving skills
• Strong experience with ETL methods and with retrieving data from dimensional data models and data warehouses
• Strong experience with relational databases and data access methods especially SQL
• Excellent collaboration and crossfunctional leadership skills
• Excellent communication skills both written and verbal
• Ability to manage multiple initiatives and priorities in a fastpaced collaborative environment
• Ability to leverage data assets to respond to complex questions that require timely answer