
High Performance Data Analyst
2 days ago
We are seeking a highly skilled and detail-oriented individual to support our critical data initiatives. The ideal candidate will have strong experience in programming languages, including SAS, along with working knowledge of SQL and C#, and a passion for resolving complex data issues.
This role plays a key part in ensuring the accuracy, reliability, and efficiency of our data extract processes by reviewing, debugging, and enhancing existing codebases.
Key Responsibilities:
- Analyze and Refactor Code: Review existing data extraction and transformation scripts for completeness, efficiency, and correctness. Identify problem areas and recode broken or underperforming segments.
- Troubleshooting & Debugging: Resolve issues related to performance bottlenecks, logic errors, and data integrity problems.
- Collaboration with Stakeholders: Work closely with business analysts, QA teams, and business units to ensure the programs align with business requirements and generate accurate outputs.
- Documentation & Audit Trails: Create clear documentation for any changes, including logic explanations, data flows, and impact analysis. Maintain proper records for audit and future maintenance.
- Optimization & Best Practices: Recommend improvements to data processes for better performance, maintainability, and scalability. Contribute to the adoption of best practices in development and data handling.
Required Skills & Qualifications:
- Advanced proficiency in programming languages (Base, Macros, Data Steps, Procedures, etc.)
- Strong experience with data extraction, transformation, and reporting using SQL
- Working knowledge of C#, especially for integration or scripting tasks
- Ability to retrieve, interpret, and recode large or broken data sets
Attributes:
- Minimum 6 years of relevant experience in data manipulation and development
- Experience working in data-heavy environments and collaborating with stakeholders
- Ability to work independently and take full ownership of deliverables
- Excellent analytical and communication skills
Nice to Have:
- Experience working in finance, healthcare, or other data-intensive industries
- Exposure to modern data platforms or migration from one environment to another
Benefits:
- Remote work setup with flexibility around IST business hours
- Collaborative, fast-paced, and impact-driven team culture
- Immediate onboarding and high-visibility project work
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