Lead Data Analyst | Innovations Global | Dubai, UAE

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 Position SummaryInnovations 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 DescriptionAs 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 ResponsibilitiesLead data analysis, modeling, and pipeline development using Azure and DatabricksDesign, implement, and optimize end‑to‑end data products for enterprise useBuild scalable, secure, and high‑performance data pipelinesWork extensively with SQL for data transformation, validation, and reportingSupport MIS, reporting, and analytics teams with high-quality datasetsAnalyze complex banking datasets (risk, transactions, portfolio, compliance, etc.)Perform root-cause analysis on data quality issues and drive remediationCollaborate with cross-functional teams in business and technologyEnsure best practices in cloud data engineering, performance tuning, and governanceRequired Qualifications & SkillsBachelor’s or Master’s degree in Computer Science, IT, or a related fieldMinimum 10+ years of data analytics / data engineering experienceMandatory 3+ years of banking data experienceStrong hands-on expertise with Databricks (data processing, transformations, workflows)Advanced proficiency in SQLExperience implementing data solutions using multiple programming languages in AzureExperience developing and maintaining data pipelines and data infrastructureStrong experience with data reporting, analysis, and MIS processesBackground in delivering end-to-end data product deploymentsCloud certifications (Azure, AWS, GCP) are an added advantageStrong analytical, troubleshooting, and communication skillsNice-to-Have SkillsExperience with ETL/ELT frameworks and lakehouse architecturesFamiliarity with Azure DevOps, CI/CD, and version controlPython or PySpark experience for analytical workflowsExposure to banking regulations, risk analytics, or compliance systemsExperience leading data teams or mentoring junior analystsRecruitment Pro TipHighlight 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.#J-18808-Ljbffr