SAS SQL Analyst

Huquo Consulting

Gurugram District, Bengaluru

On-site

INR 1,400,000 - 1,900,000

Full time

14 days+

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Job summary

Huquo Consulting is seeking an experienced SAS SQL Analyst to extract, transform, and analyze large data sets. You will collaborate with business stakeholders to deliver actionable insights using SAS, SQL, and UI reporting tools.

Ideal candidates have deep expertise in SAS, SQL, data validation, and data warehousing, with exposure to BFSI domains and BI tools like Power BI or Tableau.

Qualifications

  • Proven SAS/SQL development and data analysis experience.
  • Experience in extracting, transforming, validating, and reporting data.
  • Familiarity with BFSI domain preferred.

Responsibilities

  • Develop, maintain, and optimize SAS programs for data extraction and reporting.
  • Write complex SQL queries and optimize database performance.
  • Perform data validation and quality checks across large datasets.
  • Design MIS reports and dashboards for stakeholders.
  • Collaborate with cross-functional teams to meet analytics requirements.
  • Support UAT, deployments, and issue resolution.

Skills

SAS
Base SAS
SAS Macros
SAS Enterprise Guide
SQL
Oracle SQL
SQL Server
Teradata
PostgreSQL
MySQL
Data Analysis
Data Validation
Data Quality
ETL
Data Warehousing
Reporting
MIS Reporting
Power BI
Tableau
SAS Visual Analytics
Insurance Domain
BFSI
Banking
Unix
Shell Scripting
Excel
Stakeholder Management

Education

Bachelor's or Master's degree

Tools

Power BI
Tableau
SAS Visual Analytics
Unix Shell Scripting

Job description

Role & responsibilities

Job Description: SAS SQL Analyst

Job Title: SAS SQL Analyst
Experience: 49 Years
Location: Gurugram / Bangalore
Employment Type: Full-Time

Job Summary

We are looking for an experienced SAS SQL Analyst with strong expertise in SAS, SQL, and data analysis. The ideal candidate should have experience in extracting, transforming, analyzing, and validating large datasets while working closely with business stakeholders to deliver actionable insights. Candidates from the Insurance, Banking, or Financial Services (BFSI) domain will be preferred.

Key Responsibilities
  • Develop, maintain, and optimize SAS programs for data extraction, transformation, and reporting.
  • Write complex SQL queries, stored procedures, and optimize database performance.
  • Perform data validation, reconciliation, and quality checks.
  • Analyze large datasets to identify trends, patterns, and business insights.
  • Design and automate MIS reports and dashboards.
  • Collaborate with business teams to understand reporting and analytical requirements.
  • Ensure data accuracy, integrity, and compliance with organizational standards.
  • Support UAT, production deployments, and issue resolution.
  • Document technical specifications, processes, and data mappings.
  • Work in an Agile environment and coordinate with cross-functional teams.
Required Skills
  • Strong hands-on experience in Base SAS, SAS Macros, SAS Enterprise Guide.
  • Advanced SQL programming (Oracle, SQL Server, Teradata, PostgreSQL, or MySQL).
  • Experience in data extraction, cleansing, transformation, and reporting.
  • Strong understanding of relational databases and data warehousing concepts.
  • Experience in data analysis and data validation.
  • Knowledge of ETL processes and batch processing.
  • Excellent analytical and problem-solving skills.
  • Good communication and stakeholder management skills.
Preferred Skills
  • Experience in Insurance, Banking, or Financial Services (BFSI) domain.
  • Knowledge of Python or R for data analysis.
  • Experience with reporting tools such as Power BI, Tableau, or SAS Visual Analytics.
  • Familiarity with Unix/Linux scripting.
  • Understanding of Agile methodology and SDLC.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Technology, Statistics, Mathematics, or a related field.
  • 49 years of relevant experience in SAS and SQL development/analysis.
Nice to Have
  • SAS Certification.
  • Experience with cloud platforms (Azure, AWS, or GCP).
  • Exposure to predictive analytics or statistical modeling.
  • Knowledge of data governance and data quality frameworks.
Key Skills
  • SAS
  • Base SAS
  • SAS Macros
  • SAS Enterprise Guide
  • SQL
  • Oracle SQL
  • SQL Server
  • Teradata
  • PostgreSQL
  • MySQL
  • Data Analysis
  • Data Validation
  • Data Quality
  • ETL
  • Data Warehousing
  • Reporting
  • MIS Reporting
  • Power BI
  • Tableau
  • SAS Visual Analytics
  • Insurance Domain
  • BFSI
  • Banking
  • Unix
  • Shell Scripting
  • Excel
  • Stakeholder Management
Preferred candidate profile
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