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Key Responsibilities
✅ Perform quality reviews and code reviews of business analytics work.
✅ Validate analytical logic, SQL queries, data quality, and supporting documentation.
✅ Review analytical outputs for accuracy, consistency, completeness, and compliance.
✅ Ensure quality standards are maintained for projects involving sensitive PII data.
✅ Identify data-quality issues, analytical gaps, and documentation deficiencies.
✅ Provide constructive feedback and quality guidance to analytics team members.
✅ Support continuous improvement across business analytics processes and deliverables.
🔹 Required Skills
✔️ 12+ years of overall professional experience
✔️ 5+ years of hands-on SQL experience supporting Business Analytics projects
✔️ Strong experience reviewing analytical logic and data quality
✔️ Strong documentation and analytical-review skills
✔️ Exceptional attention to detail
✔️ Interest and enthusiasm for AI Prompt Engineering
✔️ Bachelor’s degree is required
✔️ Strong communication, collaboration, and feedback skills
⭐ Preferred Skills
⭐ Python – 2+ years of experience
⭐ Experience working in a Hadoop environment
⭐ Experience with SAS Enterprise Guide (SAS EG)
⭐ Experience with Big Data analytics and analytical-quality review
🏦 Preferred Industry Background
✔️ Banking and Financial Services
✔️ Big Data Analytics
✔️ Sensitive Data / PII Environments
📌 Mandatory Candidate Requirements
⚠️ LinkedIn profile must be at least 5 years old.
⚠️ LinkedIn profile must have a professional photo and good connections.
⚠️ Valid Driver’s License (DL) is required.
⚠️ Valid Visa/Work Authorization documentation is required.
⚠️ Candidates must be able to clearly explain a business analytics project
Bachelor's degree
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