Data Integration Analyst
Elliott Moss Consulting · Singapore
Job Description· We are seeking a highly motivated Data Integration Analyst to support the sourcing, transformation, analysis, and visualization of data from multiple sources to drive business insights and decision-making. · The ideal candidate will have hands-on experience with data integration tools, strong SQL and scripting skills, and a passion for transforming complex datasets into meaningful analytics and actionable insights. Key Responsibilities · Analyze and integrate data from multiple sources to support business and operational objectives. Extract, cleanse, normalize, and transform data for reporting, analytics, and visualization purposes. · Design, build, and maintain data pipelines and workflows using Talend and related tools. · Develop and maintain complex SQL queries, data models, and data transformation processes. · Create compelling dashboards, reports, and visualizations using BI and analytics platforms.· Collaborate with business stakeholders, project managers, and technical teams to understand requirements and deliver data-driven solutions. · Support data lifecycle management activities, ensuring data quality, consistency, and reliability. · Work closely with data engineering teams to optimize data warehouse structures and data supply chains. · Prepare regular status updates and provide analytical recommendations to support decision-making. · Maintain documentation, process standards, and automation within the assigned area of responsibility. · Ensure compliance with security, governance, service management, and operational standards. · Contribute innovative ideas and best practices for data engineering, analytics, and reporting initiatives. · Participate in Agile or Waterfall project delivery methodologies as required. Required Skills & Experience · 5-8 years of experience in Data Analysis, Data Integration, or Business Intelligence. · Hands-on experience with Talend for data integration and ETL processes. · Strong proficiency in SQL for developing and maintaining complex queries and data pipelines. · Experience with Python, R, or similar scripting languages for data analysis and workflow automation. · Experience building dashboards, reports, and visualizations using BI tools. · Strong analytical, critical thinking, and problem-solving skills. · Excellent communication and stakeholder management skills. · Ability to work independently and collaboratively within cross-functional teams. · Bachelor's or Master's degree in Computer Science, Information Technology, Data Analytics, or a related field. Preferred Skills · Experience with cloud platforms such as AWS, Cloudera, or similar environments. · Knowledge of data warehousing, database development, and data pipeline design. · Exposure to statistical analysis, predictive analytics, machine learning, or data science concepts. · Experience with one or more analytics and reporting platforms: Tableau Qlik MicroStrategy Informatica Talend Microsoft Power BI SAS IBM Analytics