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Latinum HR Solutions

Business Data Analyst

Latinum HR Solutions

Bengaluru, Karnataka, India
CDI
Publié le 11 novembre 2026

Description du poste

Job Title: Business Data Analyst Location: Bangalore Experience: 8+ Years About the role: Latinum is looking for an experienced Business Data Analyst for a client to drive end-to-end delivery of enterprise data, analytics, and reporting initiatives. The role involves partnering with business stakeholders to understand requirements, analyse business processes and datasets, assess solution feasibility, and translate business needs into functional and technical specifications. You will work closely with Data Engineering and BI teams to deliver scalable data solutions on Azure, covering the complete SDLC from requirement gathering to deployment and production support. Key Responsibilities Engage with business stakeholders across multiple domains to gather, analyse, challenge, and document business requirements through workshops and discovery sessions. Perform business process analysis, Exploratory Data Analysis (EDA), and gap analysis to validate business rules, identify data quality issues, and define future-state solutions. Assess functional and technical feasibility, implementation approaches, dependencies, risks, and solution options. Prepare and maintain BRDs, FRDs, process flows, business rules, source-to-target mappings, acceptance criteria, and project documentation. Translate business requirements into functional and technical specifications for Data Engineering and BI teams. Collaborate with Data Engineers throughout the SDLC to clarify requirements, track implementation, resolve functional issues, and ensure successful delivery. Write and optimise SQL queries on Azure Synapse and Salesforce staging data for data analysis, validation, reconciliation, and troubleshooting. Develop and maintain Power BI semantic models, dashboards, reports, and DAX measures for enterprise reporting and KPI tracking. Define and validate requirements for data integrations, reporting, automation, and data quality improvements. Coordinate SIT and UAT, manage defects, validate acceptance criteria, and obtain stakeholder sign-off. Support production deployments and post-production hypercare, coordinating issue resolution between business and technical teams. Maintain KPI definitions, data dictionaries, governance artefacts, and reporting standards while managing multiple initiatives. Required Skills & Experience 8+ years of experience in Business Analysis, Data Analysis, Business Intelligence, or Enterprise Reporting within large or complex organisations. Proven experience managing end-to-end requirements and delivery across discovery, analysis, documentation, development, testing, deployment, and production support. Strong expertise in business process analysis, EDA, gap analysis, and technical feasibility assessments. Strong SQL skills with hands-on experience in Azure Synapse Analytics or equivalent MPP/cloud data warehouse platforms. Advanced Power BI skills, including semantic modelling, DAX, dashboard development, and enterprise reporting. Good understanding of relational databases, ETL/ELT concepts, data modelling, source-to-target mappings, and data governance. Experience translating business requirements into functional and technical specifications for Data Engineering teams. Experience working in Agile environments and collaborating with Data Engineering teams. Advanced Microsoft Excel skills for data analysis and reporting. Strong documentation skills, including BRDs, FRDs, process flows, and testing artefacts. Hands-on experience with AI productivity tools such as Microsoft Copilot, ChatGPT, or Claude. Excellent stakeholder management, communication, analytical, facilitation, and problem-solving skills. Education Bachelor's or Master's degree in Computer Science, Information Systems, Business Administration, Statistics, Engineering, or a related field. Preferred Industry Experience Real Estate industry experience is preferred but not mandatory. Ideal Candidate: A strong Business Data Analyst who combines business requirements ownership, hands-on SQL and Power BI expertise, Azure data platform exposure, and end-to-end SDLC delivery experience. Show more Show less