Sapsol Technologies

Data Analyst

Data AnalysisConfirmed live in the last 24 hours

Full-timeLongueuil, QC, CanadaNo salary listedIn-person

2–4 years of experience in a data analyst or similar hands-on analytics role.
A bachelor's degree in data science, engineering, computer science, supply chain, or a related field.
Exposure to operational analytics, including analyzing production, quality, supply chain, or similar operational data.
Strong Python skills for data manipulation and analysis, using Pandas or similar.
Strong Excel skills, including formulas and pivot tables; Power Query is a plus.
Working knowledge of SQL for querying and joining data.
Exposure to Power BI, including building or maintaining dashboards and DAX basics.
Exposure to Databricks, including comfort pulling and working with data hosted there.
Comfort creating PowerPoint presentations to communicate findings to senior stakeholders.
Good communication skills to collect, validate, and align data with different stakeholders and present insights clearly.
Attention to detail and comfort working with messy, real-world operational data.

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, including reports, charts, and summaries, for review by the lead and stakeholders.

Manufacturing, aerospace, or industrial operations exposure is a plus, but not required.
Power Query is a plus.

Sapsol Technologies Inc · Longueuil, Canada · — · Posted 2026-10-08

Workplace: on_site

About the job

Roles & Responsibilities

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 data architecture, data engineering, or platform-design role
Not a people-management role -you'll support the lead, not run the engagement independently

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