
Data analyst-SQL/SAS-3.5 Years-Gurgaon job in
2 days ago
: Data Analyst - SQL/SAS
Position: Data Analyst
Discipline: Analytics
Job Type: Permanent
Location: Gurgaon
Experience: 3.5 Years
Contact Name: Simran Bhatia
Contact Email:
Job Ref: 81011
Published: about 6 hours ago
We are looking for an experienced Data Analyst with a strong background in Banking Analytics and hands-on expertise in SQL. The role involves working with large banking datasets, deriving insights, and collaborating with stakeholders to drive data-backed decisions.
Your Future EmployerIT is a company that provides data analytics and AI solutions. It offers architecture and platform modernization, data management, cloud business intelligence, marketing analytics, lead generation services, etc.
Responsibilities- 4 years of experience in Data Analytics (Banking domain preferred).
- Strong expertise in SQL (complex queries, optimization, joins).
- Proficiency in Excel and at least one analytical tool (Python/R/SAS).
- Strong problem-solving and communication skills.
- A stimulating working environment with equal employment opportunities.
- Growing of skills while working with industry leaders and top brands.
- Career growth opportunities with continuous learning.
If you think this role is aligned with your career, kindly write me an email along with your updated CV on for a confidential discussion on the role.
DisclaimerCrescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status.
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KeywordsData Analyst, Banking Analytics, Credit Risk, SQL, Advanced SQL, Data Analysis, Portfolio Analysis, Risk Reporting, Excel, MIS Reporting, Data Cleaning, Data Insights, Ad-hoc Analysis, Python, R, SAS, Stakeholder Collaboration, Hybrid Jobs, Gurgaon, Immediate Joiner, Financial Analytics, Data-Driven Decisions, Banking Domain, Cross-Functional Teams, Reporting Automation.
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