Data Quality Analyst

🕒 July 28

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Dwelly

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

💼 Consulting

📦 Logistics

🏨 Hospitality

💰 Seed on 2024-05

Consulting • Logistics • Hospitality

Dwelly is an acquisitions and succession-planning platform focused on independent UK lettings agencies. It offers free valuations, competitive cash-out offers, and tailored exit deals while preserving agency branding and client relationships. Dwelly runs a transparent, collaborative due diligence process and uses technology and AI to modernize operations post-acquisition, enabling owners to exit smoothly and profitably.

📋 Description

• Review and approve CRM migration datasets before production deployment by validating completeness, consistency, and overall data quality. • Review production data updates and validate SQL scripts before execution to ensure large-scale changes are safe and correct. • Develop automated validation queries that detect missing records, duplicate entities, broken relationships, and other integrity issues across migrated datasets. • Compare source CRM exports with Dwelly data to verify successful migration and investigate discrepancies. • Analyse unexpected migration results, identify root causes of inconsistencies, and work with engineers to resolve complex data issues. • Identify recurring migration issues and help improve migration processes, validation tooling, and overall data quality standards.

🎯 Requirements

• Strong SQL skills, including complex joins, CTEs, aggregations, window functions, and update scripts • Experience validating production data or large database migrations • Strong understanding of relational databases and data integrity principles • Experience investigating inconsistencies across large datasets • Comfortable comparing data from multiple systems and identifying discrepancies • Ability to design automated validation checks instead of relying on manual inspection • Excellent analytical and problem-solving skills • Strong ownership mindset with the confidence to approve or reject production data changes • Exceptional attention to detail • Ability to work independently in ambiguous situations • Ability to effectively use modern AI development tools (such as ChatGPT, Claude, GitHub Copilot, Cursor, Codex, or similar) to improve productivity, investigate data issues, generate SQL, automate repetitive tasks, and accelerate analysis while maintaining high standards of accuracy and review.

🏖️ Benefits

• Fully remote role. • Competitive compensation based on experience and impact. • Opportunity to work on high-leverage automation systems at the intersection of backend engineering, applied ML, data and real operational workflows. • Competitive salary with the potential for equity options based on performance, recognising exceptional contributions to our integration success.