Data Analysis QA Specialist
Core
Audit, validate, and ensure the accuracy of feedback analysis reports and lead funnels for performance marketing campaigns in the real estate sector.
Role type
Data Analysis QA Specialist
Builds
Error-free data reports and insights for client teams and stakeholders
Domain
Performance marketing / Real estate analytics
Deliverable
dashboards & analysis
Required skills
Performance marketing metrics (Google, Meta, Taboola), Excel (pivot, formulas, validation), Python (Pandas), data cleaning, deduplication, lead funnel validation, trend analysis, root cause identification, real estate buyer journey knowledge
Preferred skills
Detail-oriented mindset, analytical thinking, documentation skills, ability to challenge data, adaptability to fast-paced environments
Technologies
Google Ads, Meta Ads, Taboola, Excel, Python, Pandas, CRMs
Responsibilities
Audit and validate feedback analysis reports; Recheck lead-stage classification; Identify data issues, missing values, or incorrect formulas; Verify daily lead delivery counts across sources; Ensure consistency across Excel, Python, and automated reports; Check campaign-wise metrics for correctness; Detect anomalies in trends; Maintain standardized QC frameworks and templates; Coordinate with the data team to rectify errors; Verify insights alignment with campaign expectations; Ensure timely QA sign-off before data sharing
Seniority
Mid-level, hands-on IC
