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Data Analyst

2 weeks ago


Winnipeg, Manitoba, Canada Smartrend Manufacturing Group Full time $60,000 - $100,000 per year

WHO WE ARE

Smartrend Manufacturing Group (SMG) Inc. is one of Manitoba's fastest-growing companies, committed to increasing safety in the school bus industry and reducing emissions in the electric vehicle charging sector through our diverse divisions. We design and develop exciting, patented, and innovative technologies that make a real and lasting impact across multiple industries.

At the heart of our success are the values that guide everything we do:

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

We provide a supportive environment where hard work, passions, and goals are recognized. Innovation and collaboration are at the heart of what we do. Share your drive and aspirations with us, and we'll ensure that your efforts open doors to new opportunities and growth.

THE POSITION

The Data Analyst will help drive improvements in our business processes by developing and maintaining data systems, dashboards, and reports that enable accurate reporting and data-driven decision-making. You lead the collection, validation, and visualization of quality metrics, analyze trends and key performance indicators to identify opportunities for improvement, and proactively mitigate risks. Collaborating closely with internal teams, you recommend process optimizations and support the integration of automated quality inspection systems. You also deliver training on data-driven quality practices, directly contributing to the continuous enhancement of our quality standards.

HOW YOU WILL BE MAKING AN IMPACT

  • Develop and maintain quality data management systems to ensure accurate reporting.
  • Develop and maintain dashboards, reports, and visualizations to communicate quality performance.
  • Oversee the collection, validation, and visualization of quality metrics to support data-driven decision-making.
  • Analyze quality data, trends, and KPIs to identify improvements and mitigate risk.
  • Collaborate with internal teams to identify quality trends and recommend process optimizations.
  • Support the integration of automated quality inspection systems for seamless data reporting.
  • Train teams on data-driven quality management practices.

WHAT SKILLS AND EXPERIENCE YOU REQUIRE

  • Bachelor's degree in Computer Science, Information technology, Engineering, Data Science, Statistics, or a related field.
  • Strong data analysis experience in Power BI, SQL, and presentation tools.
  • Experience with Python, data modeling, APIs, data-oriented development and scripting.
  • Proficiency in statistical analysis tools.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent communication and collaboration skills, with experience working in cross-functional teams.
  • Experience with unstructured data, data parsing, data processing and ETL pipelines.

WHAT SUCCESS LOOKS LIKE

  • Accurate and consistent data reporting and dashboard delivery.
  • On-time, error-free development of data systems and visualizations.
  • Improved efficiency and performance through data insights.
  • Early detection and mitigation of risks using key metrics.
  • Consistent use of data to drive decisions across teams.
  • Smooth integration of automated inspection systems and data workflows.
  • Teams trained and confident in using data effectively.

THE BENEFITS OF BEING PART OF OUR TEAM

We believe that a healthy, supported team is key to our success. That's why we offer a benefits package that prioritizes work-life balance, financial wellness, and overall well-being.

Our team members enjoy:

  • Competitive salary based 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.