联想
Business Intelligence Specialist
岗位职责
Key Responsibilities · Dashboard Development: Design and build comprehensive business dashboards in Power BI to track key performance indicators (KPIs) and business metrics, enabling data-driven decision-making across the organization. · Data Extraction, Transformation, and Loading (ETL): Utilize Talend to extract, transform, and load data from multiple sources, ensuring high-quality data is available for reporting and analysis. · SQL Data Management: Perform advanced SQL queries to extract, clean, and manipulate data for reporting and analysis, ensuring data integrity and accuracy. · Reporting and Analysis: Generate regular and ad-hoc reports using SQL, Power BI, and Excel, presenting findings and insights to business stakeholders. · Excel and PowerPoint Proficiency: Develop complex Excel reports and present findings effectively through professional PowerPoint presentations tailored to different audiences. · Cross-functional Collaboration: Work closely with business units and stakeholders to understand data needs, provide insights, and offer recommendations based on analysis. · Communication Skills: Conduct effective, fluent communication in English, both written and verbal, to present complex data insights to non-technical stakeholders. · Continuous Improvement: Stay current with best practices in data analytics, suggesting improvements in data collection, processing, and visualization techniques.
任职要求
Education: Bachelor’s degree in Data Science, Statistics, Computer Science, Business, or a related field. · Experience: experience in a data analysis, business intelligence, or similar role. · Technical Skills: o Power BI: Proficient in Power BI for creating interactive, visually appealing dashboards and reports to support business insights. o SQL: Advanced skills in SQL for extracting, cleaning, and manipulating data to generate insights and support data-driven decision-making. o Python: Practical experience in Python for data analysis, including libraries such as pandas and numpy for data processing and analysis. o Talend: Hands-on experience using Talend for ETL (Extract, Transform, Load) processes, enabling seamless integration and transformation of data from multiple sources. · Communication: Proficient in English, with the ability to clearly convey technical information to a diverse audience. Strong interpersonal skills and comfortable collaborating with cross-functional teams. · Problem-Solving: Analytical mindset with the ability to troubleshoot data issues and offer actionable insights. · Attention to Detail: Meticulous in data processing and reporting to ensure accuracy and reliability of information. SSG2026Campus
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