Data Analyst at Smartrend Manufacturing Group
Winnipeg, MB, Canada -
Full Time


Start Date

Immediate

Expiry Date

16 Nov, 25

Salary

0.0

Posted On

17 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Unstructured Data, Scripting, Data Processing, Python, Data Science, Data Modeling, Statistics, Thinking Skills, Sql, Etl, Pipelines, Information Technology, Power Bi, Computer Science, Statistical Analysis Tools

Industry

Information Technology/IT

Description

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.

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.
Responsibilities

Please refer the Job description for details

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