Data Analyst / Data Management & Governance

𝐉𝐨𝐛 𝐓𝐢𝐭𝐥𝐞: 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 / 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 & 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: 𝐏𝐡𝐨𝐞𝐧𝐢𝐱, 𝐀𝐙 𝐃𝐮𝐫𝐚𝐭𝐢𝐨𝐧 : 𝐂𝐨𝐧𝐭𝐫𝐚𝐜𝐭 (𝐎𝐧-𝐬𝐢𝐭𝐞) 𝐌𝐮𝐬𝐭 𝐇𝐚𝐯𝐞: - SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data Platforms(GCP), Data Integration & ETL, AI/ML Fundamentals. 𝐉𝐨𝐛 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧: As a Data Analyst / Data Management & Governance Professional with Emerging AI Experience, you will play a key role in analysing, managing, and governing financial data while supporting the development and implementation of AI-enabled solutions. You will collaborate with engineers, product managers, data stewards, and business stakeholders to ensure high-quality, reliable, and compliant data assets that drive business decisions and customer-facing solutions. This role provides opportunities to deepen your expertise in data analytics, data management, data governance, reporting, regulatory compliance, and cloud-based data platforms, while gaining hands-on exposure to Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI technologies. Working within a highly regulated financial environment, you will contribute to building scalable data solutions and support AI initiatives under the guidance of experienced engineers and data leaders 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: - Analyze and interpret large financial datasets to generate actionable insights, support decision-making, and improve business outcomes. - Support data management initiatives, including data quality, data lineage, metadata management, master data management, and data lifecycle processes. - Contribute to the implementation and maintenance of data governance frameworks, policies, standards, controls, and regulatory compliance requirements. - Collaborate with cross-functional teams to ensure data accuracy, consistency, accessibility, and governance across enterprise data platforms. - Assist in the development and maintenance of reporting solutions, dashboards, KPIs, and analytical models to support business and operational needs. - Participate in cloud-based data platform initiatives, including data migration, integration, automation, and process optimization activities. - Support AI and machine learning initiatives by preparing, validating, and governing datasets used for model development and deployment. - Gain hands-on experience with AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI solutions, while assisting in the development and testing of AI-powered features and workflows. - Contribute to monitoring, evaluating, and improving data and AI solution performance, reliability, and compliance in production environments. - Work closely with product managers, engineers, data stewards, and business stakeholders to translate business requirements into scalable data and analytics solutions. - Support the documentation of data governance processes, data dictionaries, business rules, and operational procedures to ensure transparency and compliance. - Participate in continuous improvement efforts focused on data quality, governance maturity, automation, and AI adoption across the organization. 𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: - Experience in Data Analysis, Data Management, Data Governance, Data Quality, Reporting, and Regulatory Compliance. - Knowledge of SQL, data visualization tools (Power BI, Tableau, Looker, etc.), and cloud-based data platforms. Understanding of data governance concepts, including metadata management, data lineage, data stewardship, and data controls. - Exposure to cloud technologies such as Google Cloud Platform (GCP), AWS, or Azure. - Beginner-level knowledge or hands-on experience with Artificial Intelligence (AI), Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or Agentic AI concepts. - Strong analytical, problem-solving, communication, and stakeholder management skills."