Senior Data Analyst

Deeplight; Abu Dhabi; On-site; AED 140,000 - 170,000; Full time

Job summary

A leading AI and data consultancy is looking for a Senior Data Analyst based in Abu Dhabi. The role involves designing data models and performing hands-on SQL analysis to improve data structuring in the banking sector. Candidates should have 5-10 years of experience and strong SQL skills. The position offers competitive salary, health insurance, professional development opportunities, and a flexible working environment within a dynamic team focused on AI projects.

Benefits

Competitive salary and performance bonuses

Comprehensive health insurance

Professional development and certification support

Flexible working arrangements

Qualifications

• 5–10+ years in hands-on data analysis and/or data modeling, ideally in banking/financial services.
• Strong conceptual/logical modeling capability.
• Hands-on data analyst mindset: strong SQL + profiling/reconciliation.

Responsibilities

• Designing and evolving conceptual and logical data models.
• Performing hands-on SQL analysis to profile datasets and validate definitions.
• Driving standardization of data definitions and producing practical artifacts.

Skills

Strong SQL

Data modeling

Stakeholder engagement

Data architecture awareness

Job description

DeepLightAI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.

The Senior Data Analyst delivers enterprise-wide data foundations in a complex banking environment. The role combines enterprise/domain data modeling, hands‑on data analysis, and practical data architecture input to improve how data is structured, understood, and trusted across the organization.

We value candidates who bring a modern, forward‑looking approach, e.g., exposure to AI‑assisted modeling/discovery and an understanding of how data platforms, metadata, and semantic concepts can improve modeling productivity and consistency.

Responsibilities

Your responsibilities in this role will include:

• Designing and evolving conceptual and logical data models across core banking domains.
• Performing hands‑on SQL analysis to profile datasets, validate definitions, reconcile discrepancies, and identify gaps.
• Providing modeling‑aligned architecture inputs (conformed entities, keys, reference/master data approach, integration patterns, semantic layer considerations).
• Driving standardization of data definitions and producing practical artifacts (data dictionary/glossary, mappings, documentation).
• Partnering with delivery teams to support metadata, lineage, and governance‑aligned documentation, and ensuring modeling decisions are adopted.

Qualifications

• 5–10+ years in hands‑on data analysis and/or data modeling, ideally in banking/financial services.
• Strong conceptual/logical modeling capability and ability to translate business needs into implementable structures.
• Strong SQL and confidence working directly with complex datasets.
• Strong stakeholder engagement and clear communication/documentation skills.
• Enterprise data modeling (banking‑grade): can structure domains end‑to‑end (customer/account/product/transaction etc.) with clear keys, relationships, and definitions.
• Hands‑on data analyst mindset: strong SQL + profiling/reconciliation; comfortable working directly with messy real‑world bank data to prove what’s true.
• Data architecture awareness: can design models that land well in a lakehouse (layering, conformed entities, semantic alignment) and work across relational + semi/unstructured data.
• Delivery + stakeholder execution: can run working sessions, drive decisions, produce usable artifacts (dictionary/glossary/mappings) and keep momentum with platform/engineering teams.

Preferred Qualifications

• Forward‑thinking modeling: exposure to AI/GenAI‑assisted modeling/discovery (automation of documentation/metadata, semantic modeling concepts, knowledge‑graph thinking).
• Data quality & observability orientation: experience defining critical elements, data quality checks/metrics, and supporting “data contracts”/early issue detection patterns.
• Lakehouse + enterprise BI/semantic familiarity: understands how models support analytics/MIS‑style consumption and tool rationalization decisions.
• Consulting background (nice signal): Big 4 / Accenture / Capgemini or similar (optional, not required).

Benefits & Growth Opportunities

• Competitive salary and performance bonuses
• Comprehensive health insurance
• Professional development and certification support
• Opportunity to work on cutting‑edge AI projects
• Flexible working arrangements
• Career advancement opportunities in a rapidly growing AI company

At DeepLightAI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions. We provide reasonable adjustments during the hiring process if needed.