Data Analyst

LocationLongueuil, Quebec, Canada

Typefull-time

SeniorityMid

Experience2–4 yrs

Company size1,001–5,000 people

First seenOct 10, 2026 · 1d ago

Verified live1d ago

At a glanceSummarised by Seekless from the posting.

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

Power Query is a plus

Skills

Python

Excel

Power BI

DAX

Databricks

SQL

PowerPoint

Pandas

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

More roles at Sapsol Technologies Inc

𝗦𝗲𝗻𝗶𝗼𝗿 𝗔𝗲𝗿𝗼𝘀𝗽𝗮𝗰𝗲 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 RCCA Lead Methods Engineer Business Development Manager 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗿

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Sapsol Technologies Inc

Data Analyst

LocationLongueuil, Quebec, Canada

Typefull-time

SeniorityMid

Experience2–4 yrs

Company size1,001–5,000 people

First seenOct 10, 2026 · 1d ago

Verified live1d ago

At a glanceSummarised by Seekless from the posting.

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

Power Query is a plus

Skills

Python

Excel

Power BI

DAX

Databricks

SQL

PowerPoint

Pandas

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

More roles at Sapsol Technologies Inc

Seekless

Seek less: one search across companies' own career pages, instead of a dozen job boards.

Product

Find jobs Companies Pricing Free Resume Checker

Company

About Blog

Legal

Privacy Terms Cookies