QA/ETL Tester – Retail Merchandising & Space Planning
Not Disclosed
Location: Katy, TX
Job Type:
Salary: Competitive
Duration: Not Specified
Experience: 10+ years, QA/ETL testing, SQL
Job Description & Details
"The retail landscape is evolving rapidly, and companies need precise merchandising data to stay competitive. A QA/ETL Tester who understands space planning can turn raw data into actionable store layouts, making this niche both challenging and rewarding. This role in Katy, TX offers a chance to blend testing expertise with retail strategy.\n\n# Job Summary\nThe QA/ETL Tester will partner with business stakeholders to gather merchandising and store layout requirements, create and validate floor plans, planograms, and space plans, and ensure data integrity through SQL\u2011based analysis and ETL support. The role demands strong collaboration with cross\u2011functional and offshore teams while delivering high\u2011quality outputs on schedule.\n\n# Top 3 Critical Skills Table\n| Skill | Why it's critical | Mastery Level |\n|---|---|---|\n| Retail Merchandising & Space Planning | Drives accurate planograms and store layout decisions | Senior |\n| Strong SQL (Data Analysis & Validation) | Enables data verification and supports ETL pipelines | Senior |\n| ETL/Data Pipeline Knowledge | Ensures reliable data movement from source to reporting layers | Senior |\n\n# Interview Preparation\n1. Describe your process for validating data extracted from an ETL pipeline for a retail planogram.\n**What the interviewer is looking for:** Understanding of data validation techniques, SQL query design, and handling edge cases.\n\n2. How do you collaborate with offshore teams to ensure testing coverage and timely delivery?\n**What the interviewer is looking for:** Communication strategies, tooling, and coordination practices.\n\n3. Explain how you would design a test case for floor plan optimization using SQL.\n**What the interviewer is looking for:** Ability to translate business metrics into test scenarios and write effective SQL checks.\n\n4. What challenges have you faced when integrating RMS data with other data sources, and how did you resolve them?\n**What the interviewer is looking for:** Problem\u2011solving skills, data mapping experience, and mitigation tactics.\n\n5. Walk through a scenario where a discrepancy in store layout data caused a business impact. How did you identify and fix it?\n**What the interviewer is looking for:** Root\u2011cause analysis, debugging steps, and communication of findings.\n\n# Resume Optimization\n- QA/ETL Tester\n- Retail Merchandising\n- Space Planning\n- Floor Planning\n- Planogram Development\n- RMS (Retail Merchandising System)\n- Strong SQL\n- Data Analysis\n- ETL\n- Cross\u2011functional Collaboration\n\n# Application Strategy\nWhen reaching out to the recruiter, send a concise email that starts with a friendly greeting, attach your updated resume, and clearly highlight your top skills that match the role. Make sure to mention related skills you possess, such as Retail Merchandising, Strong SQL, and ETL/Data Pipeline Knowledge, and reference specific projects where you delivered high\u2011quality planograms or optimized store layouts.\n\n# Career Roadmap\n| Current Role | Typical Experience | Core Focus | Next Position |\n|---|---|---|---|\n| QA/ETL Tester \u2013 Retail Merchandising | 10+ years in testing & data pipelines | Data validation, planogram QA, SQL reporting | Senior QA/ETL Analyst |\n| Senior QA/ETL Analyst | 5+ years leading projects | End\u2011to\u2011end data quality, team mentorship | QA/ETL Lead or Data Quality Manager |\n| QA/ETL Lead | 3+ years managing teams | Strategy, process improvement, stakeholder alignment | Director of Data Quality / Retail Analytics |\n"