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Intelligence analyst Jobs in Ottawa, ON
Business Intelligence Analyst
Farm Credit CanadaKanata, Ontario- Promoted
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Automotive and Surface TransportationOttawa, ON, Canada- Promoted
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Business Analyst
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Treasury Board of Canada SecretariatOttawa, Ontario- Promoted
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S M Software Solutions IncON, CA- Promoted
Business Analyst
Randstad CanadaOttawa, Ontario, CAReporter, Artificial Intelligence
The LogicOntario, CASenior Business Intelligence Developer
Wawanesa InsuranceOttawa, ONMarket Intelligence Economist
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Tony’s Fresh MarketOntario, CABusiness Intelligence Report Developer
ThalesOttawabusiness intelligence specialist
CATSAOttawa, ON, CABusiness Intelligence Analyst
Farm Credit CanadaKanata, Ontario- Full-time
Closing Date (MM / DD / YYYY) :
02 / 09 / 2025
Worker Type : Permanent
Language(s) Required :
English
Term Duration (in months) :
Salary Range (plus eligible to receive a performance based incentive, applicable to position) :
90,710 - $122,726Enterprise Risk Management
Risk management expertise rewarded :
Maintain and develop tools and metrics for assessing and monitoring risk enterprise-wide. Using technical expertise and research skills, measure risk and identify opportunities for aggregation of risk measurement techniques across various processes.
What you’ll do :
Understand specific business domain(s) and drive insights from data, ensuring needs are met
Create analytics solutions from a large variety of structures and sources
Work with stakeholders and teams to ensure analysis is understandable and actionable across subject areas
Analyze and reveal insights to decision makers, and help with sense-making and recommendations
What we’re looking for :
An analytical thinker who can design and develop strategies to assist business users in quickly finding the information they need to make better business decisions
Creative problem-solver with strong research and analytical skills
Relationship-builder comfortable making recommendations for improvements in data process and quality
What you’ll need :
A bachelor’s degree in agriculture, finance, business, economics, mathematics, statistics, or computer science and at least four years of experience (or an equivalent combination of education and experience)
An understanding of statistics and mathematics or data configuration combined with strong business domain knowledge
Advanced working knowledge of data manipulation and management tools, as well as mastery of one or more visualization tools