Data Analyst & BI Specialist

Who Are We?

UniUni, a North American leader in last-mile logistics, delivers tens of millions of parcels annually in Canada, from Coast to Coast, and is rapidly expanding across the United States.

Founded in 2019, UniUni’s tech-driven innovation and crowdsourcing delivery model offers fast, economical, and reliable services to local, national, and international e-commerce clients.

What Do We Offer?

At UniUni, we offer exciting opportunities to our employees to achieve their career goals. 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.

Responsibilities

• 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.

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.

Compensation and Benefits

The hiring range for this position ranges from CA$70,000 - CA$97,000. Your actual level and salary will be determined on a case-by-case basis and may vary based on the following considerations : job-related knowledge and skills, education, and experience.

All interested applicants are requested to submit a resume. We thank all applicants in advance for their interest but only those selected for the interview process will be contacted.