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Sapsol Technologies Inc

Data Analyst

Longueuil, QC, Canada

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Job details

Experience: 2-4 years of experience in a data analyst or similar hands-on analytics role
Posting language: English
Posted: Oct 8, 2026

Original job description

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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More about this job

Responsibilities

The role involves cleaning and analyzing operational data using Python and Excel to generate actionable insights. You will also support the Data Analytics Lead by maintaining Power BI dashboards and presenting findings to senior stakeholders.

Requirements

Candidates must have 2-4 years of experience in an analytics role and a bachelor's degree in a relevant field like Engineering or Computer Science. Strong proficiency in Python, SQL, and Excel is required, along with experience in operational analytics.

Skills

Python
Excel
Power BI
Databricks
SQL
Data Analysis
Exploratory Data Analysis
Root-cause Analysis
Data Visualization
Operational Analytics
Pandas
Power Query
DAX
Communication
Presentation Skills
Data Validation

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
Python
Excel
Power BI
Databricks
SQL
Pandas
Power Query
DAX
Operational Analytics
Root-cause Analysis
Exploratory Data Analysis
Data Visualization
Manufacturing
Aerospace
Supply Chain
Data Cleaning
Reporting
Stakeholder Management
Process Improvement
Dashboarding
Data Validation
Engineering
Computer Science
Data Science

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