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Data Intelligence Manager Jobs in Ontario (NOW HIRING)

L3HHCM20

Data Intelligence Specialist

Dundas, ON · Remote

CA$75K - CA$105K/yr

Specialist - Data Intelligence Specialist Reference # 41873 Waterdown, ON About the Role The Data ... Project & Stakeholder Management * Coordinate work with cross-functional teams including developers ...

Resolver

Business Intelligence Manager

Toronto, ON · On-site

The Business Intelligence Manager owns Resolver's internal business data: the data in Snowflake, the pipelines that feed it, and the reporting build on top. Much of the job is working out what ...

Autodesk

... Intelligence Manager to help Autodesk understand how customers discover, explore, and convert ... You'll work with backend data systems, BI tools, Streamlit dashboards, Google Search Console ...

Ci

Manager, Business Insights & Analytics

Toronto, ON · On-site

The Manager, Business Insights & Analytics is responsible for transforming advisor, client ... operational data into meaningful business intelligence that supports decision-making across the ...

Danone

BI Manager - Sales

Toronto, ON · Hybrid

CA$70K - CA$110K/yr

About The Job Reporting to the Senior Manager, BI & Data Excellence, you are primarily responsible for maintaining, deploying, and enhancing Business Intelligence initiatives for the sales team. By ...

Danone

BI Manager - Sales

Toronto, ON · Hybrid

CA$70K - CA$110K/yr

A propos du poste Reporting to the Senior Manager, BI & Data Excellence, you are primarily responsible for maintaining, deploying, and enhancing Business Intelligence initiatives for the sales team.

Danone

BI Manager - Sales

Toronto, ON · Hybrid

CA$70K - CA$110K/yr

Short Intro and About the Job Reporting to the Senior Manager, BI & Data Excellence, you are primarily responsible for maintaining, deploying, and enhancing Business Intelligence initiatives for the ...

Pelmorex

Data Scientist - Hybrid

Oakville, ON · Hybrid

This is a unique opportunity to work at the intersection of B2B weather intelligence and commercial ... You will partner closely with Data Engineers, Product Managers, and Revenue leaders to embed ...

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Data Intelligence Manager information

What are the key skills and qualifications needed to thrive as a Data Intelligence Manager?

To thrive as a Data Intelligence Manager, you need expertise in data analytics, business intelligence, and data management, typically supported by a degree in computer science, statistics, or a related field. Familiarity with BI tools like Tableau or Power BI, data warehousing solutions, and certifications such as Certified Analytics Professional (CAP) are highly beneficial. Strong leadership, strategic thinking, and communication skills are essential for effectively guiding teams and translating complex data insights into actionable strategies. These skills ensure the effective transformation of raw data into valuable business insights, driving informed decision-making and organizational growth.

How does a Data Intelligence Manager typically collaborate with cross-functional teams within an organization?

A Data Intelligence Manager often works closely with teams such as IT, business operations, marketing, and product development to ensure that data-driven insights align with organizational goals. This role requires facilitating clear communication between data analysts, engineers, and non-technical stakeholders to translate complex data findings into actionable strategies. Regular meetings, project updates, and cross-department workshops are common, fostering a collaborative environment where data initiatives support business objectives. Building strong relationships across teams is essential for driving successful data intelligence projects.

What is the difference between Data Intelligence Manager vs Data Analyst?

AspectData Intelligence ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often certifications in data toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools are common
Work EnvironmentLeads teams, manages data strategies, collaborates with stakeholdersAnalyzes data sets, prepares reports, supports decision-making
Employer & Industry UsageUsed in corporate, tech, finance sectors for strategic data rolesCommon across various industries for operational data analysis

The Data Intelligence Manager focuses on leading data strategies and managing teams, while the Data Analyst primarily analyzes data to support business decisions. Both roles require strong analytical skills and familiarity with data tools, but differ in scope and responsibilities.

What does a data intelligence manager do?

A data intelligence manager oversees the collection, analysis, and interpretation of data to support business decision-making. They develop data strategies, manage data teams, and use tools like SQL, data visualization software, and analytics platforms to turn data into actionable insights.

What cities in Ontario are hiring for Data Intelligence Manager jobs?

Cities in Ontario with the most Data Intelligence Manager job openings:

Data Intelligence Specialist

Dundas, ON • Remote

L3HHCM20
See more jobs at L3HHCM20external

CA$75K - CA$105K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Analyze and integrate data from multiple sources to create reusable data models and support enterprise data platforms.

  • Translate business needs into data models, document transformation logic, and support BI reporting and visualization initiatives.

  • Implement data quality standards, troubleshoot data issues, and coordinate with cross-functional teams to ensure data governance and effective data solutions.

Job description

Specialist - Data Intelligence Specialist

Reference # 41873

Waterdown, ON

About the Role

The Data Intelligence Specialist is responsible for designing, developing, and optimizing enterprise data solutions that enable trusted, scalable, and actionable business intelligence across the WESCAM.

This role supports cleaning, merging, transforming, and governing data from multiple enterprise systems into semantic models, analytical views, and modern data lake architectures.

This role works closely with IT leadership, business stakeholders, engineering teams, data professionals, and external partners to ensure that enterprise data assets are standardized, accessible, and aligned with operational and strategic business goals.

This role combines business analysis, data transformation, systems integration, and data modeling expertise to improve organizational decision-making capabilities.

Primary Responsibilities 

Data Integration & Transformation

  • Analyze and integrate data from multiple business applications, databases, APIs, cloud platforms, and external systems.
  • Create reusable semantic layers, curated datasets, and business-ready data models.
  • Support the design and maintenance of enterprise data lakes and modern data platforms.

Business Analysis & Solution Design

  • Translate business needs into logical and physical data models.
  • Document business rules, transformation logic, lineage, and technical specifications.

Semantic Modeling & Analytics Enablement

  • Build semantic views and analytical models to support BI tools and self-service reporting.
  • Support dashboard, visualization, and enterprise reporting initiatives.

Data Governance & Quality

  • Implement data quality standards, monitoring processes, and governance controls.
  • Troubleshoot data discrepancies and resolve integration or transformation issues.

Project & Stakeholder Management

  • Coordinate work with cross-functional teams including developers, architects, analysts, and business leaders.
  • Communicate technical concepts and operational processes effectively to both technical and non-technical audiences.

Required Capabilities 

Technical Skills

  • SQL, Python, or similar data processing technologies
  • Data modeling and semantic layer design
  • Data lake and warehouse architecture
  • Metadata, lineage, and governance tooling

Business Analysis Skills

  • Requirements gathering and documentation
  • Process analysis and workflow understanding
  • Problem-solving and analytical thinking

Communication Skills

  • Ability to explain technical concepts to non-technical audiences.
  • Strong written and verbal communication skills.
  • Ability to influence and collaborate across departments

 

Desired Education and Experiences 

  • Bachelor's Degree in Information Technology, Computer Science, Engineering, Data Analytics, Business Technology, or related discipline with a minimum of 4 years of relevant experience; or
  • Graduate Degree with a minimum of 2 years of related experience; or
  • In lieu of a degree, a minimum of 8 years of directly related
  • Experience with Azure, Databricks, Fabric data platforms.
  • Experience building semantic models in Power BI, or similar BI platforms.
  • Knowledge of data governance frameworks and master data management.
  • Familiarity with API integrations, data virtualization, and real-time streaming.

*This posting is for a current vacancy.  In the province of Ontario, Canada, the pay range for this position will be $75,000 - $105,000

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