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Remote UI​/UX design Expert - Data Labelling

Remote / Online - Candidates ideally in
Ottawa, Ontario, Canada
Listing for: Workada
Remote/Work from Home position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 55000 - 75000 CAD Yearly CAD 55000.00 75000.00 YEAR
Job Description & How to Apply Below

Work with structured operational data using Python and Excel to clean, analyze, and compute insights.

Support the Data Analytics Lead in building and maintaining Power BI dashboards and reports.

Pull... Show more

Permanent

Education:

Secondary (high) school graduation certificate.

Experience:

2 years to less than 3 years.

Direct and control daily operations.

Open and distribute mail and other materials.

Plan and organize... Show more

Remote

At Workada, we're not just labeling data, we're helping improve the technology people use every day.

Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more

Remote

At Workada, we're not just labeling data, we're helping improve the technology people use every day.

Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more

Remote

At Workada, we're not just labeling data, we're helping improve the technology people use every day.

Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more

Remote

At Workada, we're not just labeling data, we're helping improve the technology people use every day.

Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more

Remote

At Workada, we're not just labeling data, we're helping improve the technology people use every day.

Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more

Remote

At Workada, we're not just labeling data, we're helping improve the technology people use every day.

Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more

Remote

At Workada, we're not just labeling data, we're helping improve the technology people use every day.

Our work...

Remote

At Workada, we're not just labeling data, we're helping improve the technology people use every day.

Our work...

Remote

Maverick Currencies is a proprietary trading firm that has been funding and developing traders since 1997.We provide capital, structured training, and ongoing mentorship — so you trade our mo... Show more

Remote

At Workada, we're not just labeling data, we're helping improve the technology people use every day.

Our work...

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  • Work with structured operational data using Python and Excel to clean, analyze, and compute insights
  • Support the Data Analytics Lead in building and maintaining Power BI dashboards and reports
  • Pull and work with data from Databricks when required for analysis
  • Perform exploratory data analysis to identify trends, patterns, and anomalies in operational datasets
  • Assist in connecting data across different operational systems to support root-cause analysis
  • Collect data from different stakeholders, validate accuracy, and align on definitions across sources
  • Create presentations summarizing process improvement initiatives for reporting to senior management
  • Present insights and findings to different stakeholders, translating data into clear, actionable takeaways
  • Prepare clear, accurate outputs (reports, charts, summaries) for review by the lead and stakeholders

Required

  • 2-4 years of experience in a data analyst or similar hands-on analytics role
  • Bachelor’s degree in data science, Engineering, Computer Science, Supply Chain or a related field
  • Exposure to operational analytics
    -analyzing production, quality, supply chain, or similar operational data
  • Strong Python skills for data manipulation and analysis (Pandas or similar)
  • Strong Excel skills (formulas, pivot tables; Power Query is a plus)
  • Working knowledge of SQL for querying and joining data
  • Exposure to Power BI (building or maintaining dashboards, DAX basics)
  • Exposure to Databricks
    -comfortable pulling and working with data hosted there
  • Comfortable creating presentations (PowerPoint) to communicate findings to senior stakeholders
  • Good communication skills
    -able to collect, validate, and align data with different stakeholders, and present insights clearly
  • Good attention to detail and comfort working with messy, real-world operational data
  • Manufacturing, aerospace, or industrial operations exposure is a plus, but not required

What This Role Is Not

  • Not a people-management role
    -you'll support the lead, not run the engagement independently
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