Lead Data Analyst

Innovations Global; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading data analytics firm in Dubai is urgently hiring a Lead Data Analyst. The ideal candidate will have over 10 years of experience in data analytics, including a minimum of 3 years in banking. You will lead the development of data products using Azure and Databricks, focusing on creating scalable data pipelines and collaborating with various teams. Strong expertise in SQL and deep understanding of banking datasets are essential. Competitive compensation package with immediate start offers is available.

Qualifications

• 10+ years of data analytics/data engineering experience required.
• Mandatory 3+ years of banking data experience.
• Strong hands-on expertise with Databricks.
• Advanced proficiency in SQL is essential.

Responsibilities

• Lead data analysis and develop data products using Azure and Databricks.
• Build scalable and high-performance data pipelines.
• Collaborate with cross-functional teams for data-driven decision-making.

Skills

Data analytics expertise

Banking data experience

Databricks proficiency

SQL expertise

Data pipeline development

Problem-solving skills

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Azure

SQL

Databricks

Job description

Overview

🔎 Job Title: Lead Data Analyst | Innovations Global | Dubai, UAE
🏢 Recruiting Company: Innovations Global
🌍 Job Location: Dubai, United Arab Emirates (Onsite)
💼 Job Type: Full-Time
🕒 Notice Period: Immediate to 30 Days
🎓 Experience Required: 10+ Years
🏦 Industry: Banking (Mandatory)
📧 Application Method: Send your updated CV to [e-mail]

Position Summary

Innovations Global is urgently hiring a Lead Data Analyst with extensive experience in banking data environments and advanced analytics. This senior role focuses on building, optimizing, and deploying large-scale data products using Databricks, SQL, and Azure cloud technologies. The ideal candidate will bring deep expertise in data engineering, analytics, and financial data governance.

Detailed Job Description

As the Lead Data Analyst, you will drive end‑to‑end data product development, from ingestion and transformation to reporting and insights delivery. You will work extensively in Azure and Databricks, building scalable data pipelines, enabling business intelligence, and ensuring data availability for MIS and analytics teams. This role requires strong command of SQL, cloud-native data systems, and banking datasets, along with the ability to translate business problems into robust analytical solutions. You will collaborate with stakeholders across technology and business units to enable data-driven decision-making across the organization.

Key Responsibilities

• Lead data analysis, modeling, and pipeline development using Azure and Databricks
• Design, implement, and optimize end‑to‑end data products for enterprise use
• Build scalable, secure, and high‑performance data pipelines
• Work extensively with SQL for data transformation, validation, and reporting
• Support MIS, reporting, and analytics teams with high-quality datasets
• Analyze complex banking datasets (risk, transactions, portfolio, compliance, etc.)
• Perform root-cause analysis on data quality issues and drive remediation
• Collaborate with cross-functional teams in business and technology
• Ensure best practices in cloud data engineering, performance tuning, and governance

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, IT, or a related field
• Minimum 10+ years of data analytics / data engineering experience
• Mandatory 3+ years of banking data experience
• Strong hands-on expertise with Databricks (data processing, transformations, workflows)
• Advanced proficiency in SQL
• Experience implementing data solutions using multiple programming languages in Azure
• Experience developing and maintaining data pipelines and data infrastructure
• Strong experience with data reporting, analysis, and MIS processes
• Background in delivering end-to-end data product deployments
• Cloud certifications (Azure, AWS, GCP) are an added advantage
• Strong analytical, troubleshooting, and communication skills

Nice-to-Have Skills

• Experience with ETL/ELT frameworks and lakehouse architectures
• Familiarity with Azure DevOps, CI/CD, and version control
• Python or PySpark experience for analytical workflows
• Exposure to banking regulations, risk analytics, or compliance systems
• Experience leading data teams or mentoring junior analysts

Recruitment Pro Tip

Highlight projects where you built end-to-end data products in Databricks—especially within banking contexts such as risk scoring, transaction analytics, or regulatory reporting—to showcase your expertise and stand out immediately for this senior role.