Staff Research Scientist

ServiceNow; Montreal; Remote; CAD 65,000 - 90,000; Full time

Job summary

ServiceNow is seeking a data analyst to transform operational data into actionable insights. You will clean and analyze data with Python and Excel, and contribute to Power BI dashboards and reports.

This role involves pulling data from Databricks and presenting findings to senior stakeholders, driving process improvements across operations. The ideal candidate has 2–4 years of hands‑on analytics experience, a relevant bachelor’s degree, and strong communication skills to align data definitions

Qualifications

• 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 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.
• 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

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

Skills

Python

Excel

SQL

Power BI

Databricks

PowerPoint

Communication

Attention to detail

Education

Bachelor’s degree in data science, Engineering, Computer Science, Supply Chain or related field

Tools

Databricks

Power BI

Job description

Job Details

Full-time

Remote

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 people‑management role -you'll support the lead, not run the engagement independently