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Job Overview: Our client is a renowned global banking and financial services organization delivering enterprise-scale cloud, data, and digital transformation programs. The organization offers a collaborative environment, modern technology stack, long-term career growth, and opportunities to work on high-impact platforms supporting millions of users worldwide. We are seeking an experienced Analytical Engineer with strong expertise in Data Analysis, Data Modelling, SQL, and enterprise data platforms. Detailed Job Description: This role involves translating business requirements into analytics-ready datasets, implementing robust data models, ensuring data quality, and supporting enterprise reporting and analytics initiatives. You will work closely with business analysts, data architects, and engineering teams within a mission-critical enterprise cloud and data transformation program. Key Responsibilities: - Translate business requirements into well-structured, analytics-ready data models and datasets - Design and implement Data Vault 2.0 and dimensional (star/snowflake) data models for enterprise reporting - Write and optimize complex SQL queries for large-scale data transformation and analysis - Perform data profiling, validation, and quality checks to ensure accuracy and consistency across pipelines - Establish and enforce data governance standards, definitions, and lineage documentation - Collaborate with Cloud Data Engineers to build and validate pipelines within Azure and Databricks environments - Partner with business stakeholders to define KPIs, metrics, and reporting requirements - Support enterprise BI and analytics teams with curated, trusted datasets - Document data models, business logic, and transformation rules for audit and governance purposes Mandatory Technical Skills: Data Analysis, Advanced SQL, Data Modelling, Data Vault 2.0, Dimensional Modelling, Data Governance, Data Profiling, Data Validation, Azure, Databricks Preferred Skills: Business Writing, Governance Risk & Controls (GRC), Project Management, Regulatory Knowledge (Banking/Financial Services), Enterprise Systems exposure Experience Required: 5+ years in data analysis, data modelling, or analytics engineering roles, preferably within banking, financial services, or large enterprise environments Educational Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Statistics, Engineering, or a related discipline Certifications (if applicable): Microsoft Certified Azure Data Fundamentals / Azure Data Engineer Associate preferred; Data Vault 2.0 certification is an added advantage Ideal Candidate Profile: A detail-oriented data professional with strong analytical thinking, hands-on SQL expertise, and a solid grasp of enterprise data modelling techniques. Comfortable working with ambiguity, translating business needs into technical solutions, and collaborating across cross-functional teams in a regulated banking environment. Why Join This Opportunity: Direct permanent role with a global banking and financial services leader. Exposure to enterprise-scale cloud and data transformation initiatives impacting millions of users. Work with a modern data stack including Azure and Databricks. Strong long-term career growth path into senior data modelling, architecture, or analytics leadership roles. Collaborative, mission-critical work environment with continuous learning opportunities. Note: Shortlisted candidates will receive additional project and client information during the interview process. Employment Type: Full-Time, Permanent Work Mode: Remote (Base Location: Pune) Industry: Banking & Financial Services Salary: As per company standards
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