Job Description

DATA ANALYST SPECIALIST

WHO WE ARE

As one of Manitoba's fastest growing companies, Smartrend Manufacturing Group (SMG), Inc. through our various divisions, is increasing safety in the school bus industry and reducing emissions in the electric vehicle charge systems arena. We work on exciting, patented, innovative technology that impacts our environment. What has remained constant throughout this compelling history of growth is our dedication to our customers, our team members, and to the values on which we built SMG:

• People – our team is what makes us special
• Passion – from our hearts and minds, demonstrated through our actions
• Priority – we put the customer first, everyday, in everything we do
• Partnership – with each other, our customers, and our suppliers

We offer a competitive benefits package in an environment that is supportive, respectful, and fun! Join an innovative, growing, and diverse organization where your voice matters.

THE POSITION

Quality is at the root of everything we do at SMG. The Data Analyst Specialist is passionate about data and will be responsible for ensuring data integrity, analyzing quality metrics, and driving data-driven decision-making to improve product and process quality. This role involves implementing quality control systems, leveraging statistical tools, and collaborating with cross-functional teams to enhance operational efficiency and ensure compliance with industry standards.

HOW YOU WILL BE MAKING AN IMPACT

• Develop and maintain quality data management systems to ensure accurate and reliable quality reporting.
• Analyze quality data, trends, and key performance indicators (KPIs) to identify areas for improvement and mitigate risks.
• Conduct root cause analysis (RCA) and implement corrective and preventive actions (CAPA) to resolve quality issues based on data insights.
• Oversee the collection, validation, and visualization of quality metrics to support data-driven decision-making.
• Collaborate with engineering, production, and supply chain teams to identify quality trends and recommend process optimizations.
• Implement, monitor, and ensure compliance with ISO 9001, IATF 16949, Six Sigma, and other relevant quality management systems through data tracking.
• Support the integration of automated quality inspection systems and ensure seamless data collection and reporting.
• Utilize statistical process control (SPC), predictive analytics, and machine learning techniques to enhance quality insights.
• Develop and maintain dashboards, reports, and visualizations to communicate quality performance effectively.
• Work cross-functionally with teams to train personnel on data-driven quality management practices

WHAT SKILLS AND EXPERIENCE YOU REQUIRE

• Bachelor's degree in Engineering, Data Science, Quality Management, Statistics, or a related field.
• Expertise in data analysis – experience with Power BI, Tableau, SQL, Python, or R for data visualization and insights.
• Proficiency in statistical analysis tools such as Minitab, JMP, or other data-driven quality tools.
• Strong knowledge of inspection and auditing methodologies, including incoming, in-process, and final product inspections.
• Ability to automate data collection and reporting to improve efficiency in quality monitoring.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication and collaboration abilities, with experience working in cross-functional teams.
• Experience with quality management software (QMS) and ERP systems is a plus.

THE BENEFITS OF BEING PART OF OUR TEAM

Share with us your passion and drive towards your career objectives, and we will provide an environment where your valuable contributions are rewarded and celebrated with professional growth and job satisfaction. We offer an attractive benefits package for our team members including:

• Competitive salary depending on experience
• Group insurance plan with health spending account
• Paid Vacation
• Company paid shutdown from Christmas to New Years
• Matching RRSP program

We would like to thank all applicants who apply, however, only those selected for an interview will be contacted.

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