Senior Advisor, Business Intelligence
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Contract Length: 1 Year
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Location: North York, ON M2J 1P8
Raise is currently hiring a contract team member on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader.
Job Overview
The Senior Advisor, Business Intelligence provides data and analytics support for client initiatives. This role partners with business stakeholders to understand strategic objectives, deliver advanced analytical solutions, support data quality and governance standards, and drive continuous improvement in analytics capabilities. The position serves as a trusted advisor, leveraging data-driven insights to improve business performance, support decision-making, and identify opportunities for innovation and operational excellence.
Key Responsibilities
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Partner with internal teams and client stakeholders to identify business needs, strategic priorities, and opportunities for analytics-driven solutions.
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Lead complex analytics initiatives from concept through delivery, including problem definition, data exploration, hypothesis development, analysis design, and validation of findings and recommendations.
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Deliver high-quality analytical solutions, reports, dashboards, and insights within established timelines and business priorities.
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Develop, apply, and validate advanced statistical, regression, forecasting, and predictive models using large and complex datasets.
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Perform scenario analysis and performance optimization studies to support strategic planning and operational decision-making.
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Evaluate data sources to ensure accuracy, reliability, completeness, and fitness for business use.
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Recommend and implement improvements to data collection, validation, governance, and reporting processes.
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Lead the design, development, and enhancement of dashboards and reporting tools that enable actionable, data-driven decision-making.
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Facilitate brainstorming sessions, workshops, and cross-functional discussions to identify innovative applications of data and analytics.
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Conduct exploratory data analysis to uncover trends, patterns, risks, and opportunities that support business objectives.
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Present analytical findings and recommendations to stakeholders at all levels of the organization, tailoring communications to the audience.
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Develop and maintain deep business, operational, and system knowledge within supported functional areas.
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Mentor and provide guidance to junior analysts, promoting analytical best practices and professional development.
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Support continuous improvement initiatives that enhance organizational analytics maturity and business intelligence capabilities.
Qualifications
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Bachelor's degree in Mathematics, Economics, Computer Science, Information Technology, Statistics, Data Science, or a related field. Advanced degree is considered an asset.
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Minimum of 7 years of experience in Business Intelligence, data analytics, statistical analysis, or a related discipline.
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Advanced proficiency in SQL, Python, and R, with experience managing and analyzing large, complex datasets.
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Experience working with Microsoft Azure Databricks and modern cloud-based analytics platforms.
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Strong understanding of statistical analysis, predictive modeling, forecasting techniques, and data interpretation.
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Advanced proficiency with Microsoft Excel, Power BI, Visio, and GIS tools.
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Strong analytical and problem-solving skills with the ability to synthesize large volumes of information into meaningful business insights.
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Excellent written and verbal communication skills, including the ability to translate complex technical concepts into clear, actionable recommendations.
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Strong interpersonal and relationship-building skills with a collaborative, client-focused approach.
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Demonstrated ability to manage multiple priorities and deliver results in a fast-paced environment.
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Experience leading workshops, facilitating discussions, and presenting to diverse stakeholder groups, including senior leadership.
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Proven ability to establish and maintain effective working relationships across business and technical teams.
Preferred Qualifications
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Experience with advanced analytics, predictive modeling, forecasting, and statistical methodologies.
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Knowledge of machine learning concepts and their practical application to business and customer analytics.
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Experience with data warehousing, data modeling, and enterprise analytics environments.
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Familiarity with cloud-based analytics solutions and scalable data architecture.
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Experience supporting large-scale business transformation, operational excellence, or data modernization initiatives.
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Working Conditions
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Typical office or hybrid work environment.
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Occasional travel required, approximately 5% of the time.
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Travel may include visits to client offices, project sites, or stakeholder meetings as required.
Looking for meaningful work? We can help
Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.
We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
We have a dedicated webpage for accommodations where you can learn more about what we offer, and request accommodation: https://raise.jobs/accommodations/
In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 or [email protected]
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