# Data Analyst

**Company:** [Sapsol Technologies Inc](https://jobs.workable.com/companies/d2sRa2JYB9JPF5bL4MU2Yu.md)
**Location:** Longueuil, Canada
**Workplace:** on site

[Apply for this job](https://jobs.workable.com/view/90cd3627-b214-4d0d-bb96-764dcbcfdb6e)

## 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