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...
Remote
CA$45.00 hourly
Temporary, Part-time
- 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
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Remote Editorial Expert - Data Labelling in La Prairie employer: Workada
At Workada, we pride ourselves on being an exceptional employer by offering remote, flexible contract work that allows you to balance your professional and personal life. Our mission-driven team fosters a culture of accuracy and quality, providing clear guidelines, comprehensive training, and ongoing performance feedback to support your growth. Join us in making a meaningful impact on technology while enjoying the benefits of a supportive and collaborative work environment.
