Business Intelligence Developer
at Syntronic
Markham, ON, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 28 Dec, 2024 | Not Specified | 01 Oct, 2024 | 8 year(s) or above | Good communication skills | No | No |
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Description:
Are you ready to be part of a leading global engineering design house specializing in the design and development of embedded software/hardware, electronics, and electro-mechanics?
WHAT YOU’LL LOVE ABOUT US:
- Company Culture – outstanding people and a flexible work environment with lots of after work activities/groups! It’s so great, we even won an award for it!
- Work/Life Balance – 4 weeks holidays to start and work that stays at work!
- Career Growth Opportunities – being a design house keeps variety in your work. New opportunities happening all the time!
- Great Benefits – and, they start the same day you do… and, they include your family… and, the company matches your RRSP contributions!
Responsibilities:
WHAT YOU’LL DO
- Work cross-functionally with robotics product, program, and engineering leads to deliver data insights aimed at characterizing and improving the performance of anew warehouse automation technology.
- Use a combination of unified and disparate data sources to uncover insights delivered through decision-driving analytics white-papers and automated data visualizations to influence development and deployment of technology solutions.
WHAT YOU’LL NEED TO GET THE JOB DONE
- 8+ years of relevant industry experience in areas such as data modelling and engineering, warehousing and building ETL pipelines, data visualization, and statistical analysis.
- At least Bachelors degree in quantitative field (Business Analytics, Data Science, Computer Science, Mathematics, Statistics, or equivalent)
- Knowledge of and direct experience with AWS technologies and big data analytics tools (EMR, Athena)
- Experience with information retrieval, data science, data mining, and using test/control methodology and machine learning techniques
- Knowledge in writing and optimizing SQL to handle extremely large datasets
- Working knowledge in scripting with R/Python for statistical analysis
- Experience in theory and practice of Design of Experiments and statistical analysis of results
- Experience with creating end-to-end dashboard solutions (i.e. with Tableau or similar BI tools) and reports that effectively convey insights to a wide range of users
- Proven ability to independently deliver end-to-end projects and articulate business impact to stakeholders
REQUIREMENT SUMMARY
Min:8.0Max:13.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Quantitative field (business analytics data science computer science mathematics statistics or equivalent
Proficient
1
Markham, ON, Canada