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Data Quality Analyst
Intelo.ai
Kochi, KSA
Temporary
Senior
Onsite
4 weeks ago
SQLPythonData QualityData AnalysisETLPower BI
Free
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SQLPythonData Quality
About the Role
Intelo.ai is seeking a Data Quality Analyst to ensure data integrity across their AI platform for retail. The role involves defining data quality standards, building validation frameworks, investigating discrepancies, and collaborating with cross-functional teams.
Key Skills for This Role
SQLPythonData QualityData AnalysisETLPower BI
Responsibilities
- Define, implement, and maintain data quality standards across all data flows within the platform
- Build validation frameworks and automated checks that surface anomalies early in the data lifecycle
- Establish reconciliation processes that ensure consistency across systems, sources, and environments
- Own data quality monitoring — proactive, structured, and always improving
- Investigate data discrepancies at the source — not just the symptom
- Triage and classify issues with precision: source data, transformation logic, integration failure, or configuration gap
- Partner with engineering and product to drive permanent fixes, not temporary workarounds
- Build a living knowledge base of issues, patterns, and resolutions that compounds in value over time
- Collaborate closely with Implementation, Integrations, Product, and Engineering to understand end to end data flows
- Translate complex data findings into clear, actionable insights for both technical and non technical audiences
Requirements
- 5+ years of experience in data quality, data analysis, business intelligence, or a closely related analytical role
- High proficiency in SQL — you write, optimise, and debug queries independently and fluently
- Demonstrated experience investigating and resolving complex data discrepancies across multiple systems
- Strong communication skills — you can articulate a data problem clearly and precisely to any audience
- Rigorous documentation discipline — every finding, decision, and resolution is captured in writing
- High ownership mindset — you identify what needs to be done and you do it
- Proven experience in retail, e commerce, or supply chain data environments
Full Job Posting
Role Overview
- AI is only as good as the data it runs on.
- We are looking for a Data Quality Analyst who treats data integrity as a discipline — not a checklist.
- In this role, you will work across our product, engineering, implementation, and integrations teams to build the standards, systems, and rigour that keep our data — and by extension, our AI — reliable at scale.
- You will define what good data looks like at Intelo, and hold the organisation to it.
Key Responsibilities
- Define, implement, and maintain data quality standards across all data flows within the platform
- Build validation frameworks and automated checks that surface anomalies early in the data lifecycle
- Establish reconciliation processes that ensure consistency across systems, sources, and environments
- Own data quality monitoring — proactive, structured, and always improving
- Investigate data discrepancies at the source — not just the symptom
- Triage and classify issues with precision: source data, transformation logic, integration failure, or configuration gap
- Partner with engineering and product to drive permanent fixes, not temporary workarounds
- Build a living knowledge base of issues, patterns, and resolutions that compounds in value over time
- Collaborate closely with Implementation, Integrations, Product, and Engineering to understand end to end data flows
- Translate complex data findings into clear, actionable insights for both technical and non technical audiences
- Contribute to technical documentation: data dictionaries, validation runbooks, and quality guidelines
- Build data quality processes that scale as Intelo grows — in clients, complexity, and volume
Required Qualifications
- 5+ years of experience in data quality, data analysis, business intelligence, or a closely related analytical role
- A genuine instinct for data — you notice when something is off before anyone flags it
- High proficiency in SQL — you write, optimise, and debug queries independently and fluently
- Demonstrated experience investigating and resolving complex data discrepancies across multiple systems
- Strong communication skills — you can articulate a data problem clearly and precisely to any audience
- Rigorous documentation discipline — every finding, decision, and resolution is captured in writing
- High ownership mindset — you identify what needs to be done and you do it
- Proven experience in retail, e commerce, or supply chain data environments — you understand how retail numbers work and what it means when they don't
Preferred Experience
- Deep familiarity with retail data concepts — inventory, demand planning, replenishment, sell through, or merchandising operations
- Familiarity with data pipeline architecture, ETL processes, or data engineering concepts
- Experience with BI tools such as Power BI, Tableau, Looker, or similar
- Proficiency in Python or another scripting language for data analysis and automation
- Experience building data quality frameworks or reconciliation processes from the ground up
- Prior experience at a high growth AI or SaaS company
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