Ziing Final Mile INC Looking for Logistics Data Analyst at Edmonton, AB Full Time

Job Summary:

Ziing Final Mile Inc. is looking for a self-motivated and passionate Logistics Data Analyst to join our team. The successful candidate will administer Ziing’s Route Optimization Software (ROS) and Transportation Management System (TMS).

The successful candidate will adopt with ease the Core Values of the Organization;

1) Humble: we put responsibility where it is due,

2) Hungry: we operate with passion for the purpose of the company, and

3) Smart: we understand the impact words or actions have on others.

Operating with a high level of natural curiosity, the successful candidate will identify opportunities to support the Purpose of the Company and its Uncommon Offering.

The successful candidate will be comfortable in a “Start-Up” environment.

Primary Responsibilities

• Receive data files and upload to the Route Optimization Software.

• Collaborate with the Ziing Operations team to optimize the most efficient routes while considering customer shipping rules.

• Perform co-load optimizations that build efficient delivery routes for multiple customers on a single route.

• Extract Route plans for: summary, upload to TMS, reporting to Operations, perform further review and improvements.

• Work with Business Development to build efficient delivery network models for Ziing pricing proposals.

• Integrate and troubleshoot APIs.

• Develop ongoing knowledge and familiarity with Ziing TMS platform including customer records, contracts, agent records, workflows, route configurations, rate tables and structures, reporting, invoicing, mobile devices, order & route stop troubleshooting, scheduling procedures, general troubleshooting, operational support and vendor service ticketing.

• Document, communicate and present to stakeholders

• Other Duties as assigned.

Work Schedule: Tuesday to Saturday 7:30am – 4:30pm

Skills & Technical Requirements

Data Engineering |Machine Learning | Supervised Learning | Predictive Analysis | Prescribed Analysis

• Multi-tasking – interact and support multiple departments

• Critical thinking – leverage data and process information to streamline the final mile delivery network

• Technical expertise – data management, data formatting, data mining and segmentation techniques

• Experience with reporting software (Tableau), databases (SQL, AWS), and programming (Python)

• Statistics knowledge and experience – analyzing datasets (Excel, R, etc.)

• Analytical skills – ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

• Communication skills and experience to maintain effective and timely correspondence with internal team members as well as external customers, Vendors and Transportation service partners

• Understanding data definitions: what types of data Ziing works with and apply business principles to optimize this data

• Understanding of how different local and cloud systems are integrated together and how data is transferred

• Analyze current business environment and processes to identify automation opportunities

• Sound foundation in the concept of data; ability to use various tools and learn quickly

• Possess a “start-up” mindset, ability to adapt to fluid responsibilities and willingness to learn new things

• Experience with process and project management is an asset

Education:

• BS in Mathematics, Economics, Computer Science, Information Management, Statistics or a BComm in Business Analytics

• MSc in Computer Science, Data Science, or Statistics a strong asset but not a requirement

Additional skills/knowledge:

Experience with process and project management is an asset

Please submit all applications to this position through our website, ziingfinalmile.ca/careers/.

Job Types: Full-time, Permanent

Benefits:

• Casual dress
• Dental care
• Disability insurance
• Employee assistance program
• Extended health care
• Life insurance
• On-site gym
• Paid time off
• Vision care
• Work from home

Schedule:

• 8 hour shift
• Day shift
• Every Weekend
• On call
• Overtime
• Weekend availability

Expected start date: 2022-04-04