Business Intelligence Engineer

Company Overview At QIMA, we are on a mission to offer our clients smart solutions to make products you can trust. Operating in over 100 countries, we serve the consumer products, food, and life sciences industries and help more than 30,000 brands, retailers, manufacturers, and growers achieve quality excellence. We combine on‑ground expertise with digital solutions that bring accuracy, transparency and intelligence for quality and compliance data. What sets us apart is our unique culture. Location & Posting Date Wan Chai District, Hong Kong SAR • 6 months ago Job Description Are you passionate about turning data into actionable insights that drive business success? We are seeking a skilled and motivated Business Intelligence Engineer to join our team. In this role, you will leverage data to optimize internal operations, enhance business team efficiency, and empower our customers with critical information on their supply chain and quality. You will improve service quality across various aspects of supply chain management and quality assurance, driving our organization towards excellence. Key Responsibilities Work closely with business leaders to understand and identify user needs and develop data‑driven solutions that optimize supply chain processes, enhance customer experiences, and improve operational efficiency. Design and implement scalable data models and automated processes to ensure efficient collection and integration of data from diverse sources. Ensure the data remains accurate over time by implementing data cleaning and validation procedures. Collaborate with the tech teams to enhance data collection processes. Utilize Tableau Software to develop visually stunning and interactive dashboards tailored for both internal stakeholders and external clients, providing actionable insights to support decision‑making. Collaborate with UI/UX teams and Data Visualization Lead to create intuitive interfaces that enhance user experience, leading to improved adoption and engagement with data‑driven insights. Continuously monitor and optimize dashboard performance to ensure swift responsiveness, providing users with seamless access to real‑time insights. Leverage data analysis to identify opportunities for process improvement and contribute to strategic projects aimed at enhancing business performance and competitiveness. Qualifications Master’s degree in a relevant field (e.g., Supply Chain, Operations Management, Data Analytics) and at least 3+ years of experience in a similar role, working with BI solutions such as Tableau, Power BI, Alteryx, Qlik Sense, etc. Excellent analytical skills, with the ability to interpret complex datasets and derive actionable insights to drive business decisions. Demonstrated passion for lean practices and process optimization, with a proven track record of driving efficiency improvements and cost savings through lean methodologies. Proficient in designing robust data models that facilitate efficient data integration and ensure data integrity and consistency across the organization’s systems and processes. Proficient in writing SQL queries and working with relational databases to manipulate and analyze data effectively. Familiarity with Python scripting for data manipulation and automation, enabling efficient data processing and analysis workflows. Excellent verbal and written communication skills, with the ability to effectively collaborate with cross‑functional teams and stakeholders to drive data‑driven initiatives forward. Additional Information Preferred (not mandatory) Experience in quality management, with expertise in laboratory testing processes, supply‑chain dynamics, or quality assurance. Knowledge of data visualization best practices and a passion for creating compelling and informative visualizations. A portfolio of existing BI projects to showcase your expertise and creativity in data visualization practices. Contact Please send your CV to Job Details Seniority level: Mid‑Senior level.Employment type: Full‑time.Job function: Information Technology.Industries: International Trade and Development. Referral Referrals increase your chances of interviewing at QIMA by 2x. #J-18808-Ljbffr