Data Analyst & BI Specialist

at  UniUni

WHO ARE WE?

UniUni is a Canadian courier for e-commerce and logistics companies that is full of energy and determination. Our team and technology elevates and streamlines fulfillment services in Canada to meet customers’ demanding expectations. With tens of thousands of parcels fulfilled daily, we have established ourselves as a leader in the last mile delivery and e-commerce fulfillment operation in Canada.

WHAT DO WE OFFER?

At UniUni, we offer exciting opportunities to our employees to achieve their career goals. We value lateral moves as much as vertical promotions – we believe all roles should develop your skills, broaden your experience, and help you build a rewarding career. We know you are not only seeking a job, but a career to pursue. If you are ready to join UniUni’s dynamic team, while working hard and having fun doing it, we invite you to apply online and let us know how you can be part of our success story.

REQUIREMENTS：

• Over 5 years of relevant experience, preferably with a background in Statistics, Mathematics, Information Technology, or Business Analysis.
• Extensive experience in commercial analysis with strong business acumen and data sensitivity, capable of developing comprehensive data analysis strategies and solutions, and driving their implementation to achieve results.
• Proficient in AWS cloud services and SQL, capable of extracting key results from large datasets, with strong data analysis skills and extensive experience in commercial data analysis and modeling.
• Excellent logical thinking and rapid learning abilities, capable of quickly acquiring and adapting to new domain knowledge, adept at deconstructing complex problems and applying analytical methods to solve them in a work setting.
• Self-driven with strong teamwork spirit, excellent communication and coordination skills, and ability to communicate and drive projects across functions and departments.

• Quickly understand business needs and translate them into data, develop and optimize logistics data dashboards and data analysis systems, support data-driven operations, and enhance business decision-making efficiency.
• Develop diverse data analysis methodologies and produce analytical reports during regular operations and peak periods, deeply analyze and identify business issues, opportunities, and breakthroughs, and collaborate on horizontal optimization.
• Collaborate with data product and algorithm teams to build multi-dimensional analysis, offline modeling, and visualization tools to uncover opportunities, identify risks, provide predictive warnings, and evaluate ROI, thereby enhancing data application value.
• Utilize industry, business, operational, and experiential perspectives to proactively discover opportunities through business insights, data analysis, and data modeling, formulate methodologies, and propose solutions and implementation plans.