Senior Data Analyst
Akaasa Technologies
New York, NY, United States
10 days ago
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Role details
Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$65,000.0 - $90,000.0
Working hours
Regular working hours
Job source
Tech stack
Microsoft Excel
Artificial Intelligence
Data Analysis
Batch Processing
Information Systems
Data Validation
Relational Databases
Machine Learning
Microsoft SQL Server
Oracle (Applications)
Performance Tuning
Query Optimization
+14 more
Power BI
SAS (Software)
SAS/STAT
Shell Script
SQL Databases
Systems Integration
Tableau (Software)
Enterprise Data Management
Sql Optimization
Information Technology
Data Analytics
Restful APIs
GPT
Database Tools and Utilities
Requirements
- Proof of address and valid work authorization must be provided before the interview.
- Strong experience with SAS Programming, SQL, Reporting, Dashboard Development, and Data Analysis is required.
- Candidates must have experience working with large enterprise datasets.
- Candidates must complete interviews using their own knowledge. The use of AI tools (including ChatGPT), AI assistants, or any unauthorized resources during interviews or technical assessments is strictly prohibited. Candidates who misrepresent their skills or use unauthorised assistance will be disqualified., Client is seeking a Senior Data Analyst with strong expertise in SAS Programming, SQL, data analytics, and reporting to develop analytical solutions, automate reporting processes, build dashboards, and deliver actionable business insights. The ideal candidate will possess strong technical expertise, excellent analytical abilities, and the communication skills needed to work effectively with business stakeholders and enterprise data., * Bachelor’s degree in Computer Science, Statistics, Mathematics, Information Systems, or a related field.
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5+ years of hands-on experience with SAS Programming, including:
- Base SAS
- SAS/STAT
- SAS Macro
- PROC SQL
-
5+ years of advanced SQL experience, including:
- Complex joins
- Window functions
- Query optimization
- Performance tuning
- Experience with SAS Data Integration and query tools.
- Strong experience developing dashboards and KPI reporting using Power BI, Tableau, or similar BI tools.
- Strong knowledge of statistical analysis, data validation, and data quality management.
- Experience with Linux shell scripting and batch processing.
- Hands-on experience with SQL Server, Oracle, or other relational databases.
- Experience developing or integrating with REST APIs.
- Advanced proficiency in Microsoft Excel.
- Excellent analytical, troubleshooting, and problem-solving skills.
- Strong communication and presentation skills with the ability to work directly with business stakeholders.
Other Skills
- Master’s degree in a related field.
- Experience with Machine Learning or statistical modeling.
- Experience in Healthcare or Financial Services industries.
- SAS and/or SQL certifications.
- Experience with SAS Procurement Integrity.
- Experience mentoring junior analysts.
Benefits & conditions
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