- Develop and implement a BI strategy aligned with organizational objectives.
- Lead and mentor a team of BI developers analysts and data engineers.
- Promote AI adoption and develop a data culture among users.
- Manage resources timelines and priorities.
- Oversee the creation of dashboards reports and visualizations.
- Develop advanced analytics (predictive prescriptive AI ML).
- Ensure data integrity consistency and security.
- Implement and enforce data governance policies.
- Oversee the design and deployment of data warehouses and data lakes.
- Manage the integration of BI systems into IT infrastructure.
- Stay abreast of BI/AI industry trends.
- Work with cross-functional teams to gather requirements. Translate stakeholder needs into BI solutions
- Provide insights to senior management in a clear and actionable manner.
- Define and prioritize data initiatives to maximize value and effectiveness.
- Recommend improvements to optimize the impact of BI solutions.
- Foster a culture of continuous learning and development.
Qualifications :
- Bachelors degree in computer science IT administration or a related field (masters degree an asset)
- 7 years of experience in BI or analytics including 3 in management.
- Hands-on experience in artificial intelligence and machine learning.
- Proficiency in BI tools and Microsoft Azure services (Data Factory Data Lake Synapse).
- Skills in Python DAX Power Query or R.
- Strong experience in SQL modeling and data warehousing.
- Knowledge of ETL processes and large datasets.
- Good understanding of data governance security and quality assurance.
- Communication and problem-solving skills.
- Experience with cloud-based BI solutions (AWS Azure Google Cloud).
- Knowledge of advanced AI/ML tools (Asset)
- Experience in manufacturing (Asset).
- Project management experience (Agile Scrum)
Remote Work :
No
Employment Type :
Full-time
Develop and implement a BI strategy aligned with organizational objectives.Lead and mentor a team of BI developers analysts and data engineers.Promote AI adoption and develop a data culture among users.Manage resources timelines and priorities.Oversee the creation of dashboards reports and visualiza...
- Develop and implement a BI strategy aligned with organizational objectives.
- Lead and mentor a team of BI developers analysts and data engineers.
- Promote AI adoption and develop a data culture among users.
- Manage resources timelines and priorities.
- Oversee the creation of dashboards reports and visualizations.
- Develop advanced analytics (predictive prescriptive AI ML).
- Ensure data integrity consistency and security.
- Implement and enforce data governance policies.
- Oversee the design and deployment of data warehouses and data lakes.
- Manage the integration of BI systems into IT infrastructure.
- Stay abreast of BI/AI industry trends.
- Work with cross-functional teams to gather requirements. Translate stakeholder needs into BI solutions
- Provide insights to senior management in a clear and actionable manner.
- Define and prioritize data initiatives to maximize value and effectiveness.
- Recommend improvements to optimize the impact of BI solutions.
- Foster a culture of continuous learning and development.
Qualifications :
- Bachelors degree in computer science IT administration or a related field (masters degree an asset)
- 7 years of experience in BI or analytics including 3 in management.
- Hands-on experience in artificial intelligence and machine learning.
- Proficiency in BI tools and Microsoft Azure services (Data Factory Data Lake Synapse).
- Skills in Python DAX Power Query or R.
- Strong experience in SQL modeling and data warehousing.
- Knowledge of ETL processes and large datasets.
- Good understanding of data governance security and quality assurance.
- Communication and problem-solving skills.
- Experience with cloud-based BI solutions (AWS Azure Google Cloud).
- Knowledge of advanced AI/ML tools (Asset)
- Experience in manufacturing (Asset).
- Project management experience (Agile Scrum)
Remote Work :
No
Employment Type :
Full-time
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