Job opportunity
BI Developer
Global Data & BI Inc.
About Global Data and BI Global Data and BI is hiring on a rolling basis for Business Intelligence leadership and development roles for large-scale transformation projects we deliver to Fortune 500 corporations. We offer enterprise-grade services with certified experts in Power BI, Tableau, Looker, Snowflake, and cloud analytics platforms (AWS, Azure, GCP). Our focus is on transformation projects across financial services, healthcare, manufacturing, and technology sectors. Our mission is to transform the corporate data journey from complexity to strategic clarity, ensuring data is not just collected, but leveraged to drive smarter decisions, stronger businesses, and lasting impact.
Summary
Our teams integrate into the client's operations. As a BI Developer, you will lead both the technical implementation and strategic direction of business intelligence solutions for enterprise clients. You will collaborate with C-suite executives, business stakeholders, and technical teams to design, build, and deploy BI solutions that are scalable, sustainable, and deliver measurable business value. You will bridge the gap between technical execution and business strategy, ensuring that analytics drive decision-making at all levels of the organization.
What you'll do (roles & responsibilities)
Lead the design, development, and deployment of enterprise BI solutions including executive dashboards, self-service analytics, and operational reporting systems using Power BI, Tableau, or Looker
Architect and implement end-to-end BI platforms that integrate with data warehouses (Snowflake, Databricks) and cloud ecosystems (AWS, Azure, GCP)
Develop interactive, insight-driven reports and dashboards with exceptional data visualization and storytelling capabilities
Implement robust Data Quality Control (QC) processes to ensure accuracy, consistency, and trustworthiness of analytics
Lead business intelligence strategy sessions with client executives and stakeholders to understand their analytical needs and translate them into technical solutions
Perform deep-dive analyses of business problems, build predictive models, and deliver data-driven recommendations to senior leadership
Optimize BI performance including DAX query optimization, data model design, ETL/ELT pipeline efficiency, and dashboard load times
Develop and maintain data governance frameworks, semantic layers, and reusable BI assets that enable self-service analytics at scale
Mentor and provide technical guidance to junior BI developers and client analytics teams
Leverage AI and automation to generate insights, build intelligent workflows, and drive growth discussions with Product and Executive teams
Partner with data engineering teams to ensure BI solutions are built on solid data foundations with proper data lineage and quality controls
Lead BI tool evaluations, proof-of-concepts, and technology selection processes for enterprise clients
Establish BI best practices, coding standards, documentation standards, and deployment processes
Work with DevOps pipelines (Git, Azure DevOps, CI/CD) to automate BI solution deployments and maintain version control
What you should have (Must-Haves)
Bachelor's degree required (Master's an asset) in Computer Science, Statistics, Business Analytics, or equivalent work experience
Must-have certifications:
Power BI Data Analyst Associate or Microsoft Certified: Azure Data Engineer Associate
OR
Tableau Desktop Specialist/Certified Professional
OR
equivalent BI platform certifications
Minimum of
7 years
of business intelligence and analytics experience, including hands-on development and strategic leadership
Minimum of
3 years
leading BI projects or managing BI teams (formal or informal leadership)
Expert-level proficiency in
Power BI
(including DAX, Power Query, data modeling, Power BI Service administration)
OR
equivalent expertise in
Tableau
or
Looker
Strong SQL skills for complex data analysis, optimization, and working with enterprise data warehouses
Demonstrated experience with
ETL/ELT processes
and data integration tools (Azure Data Factory, SSIS, Informatica, Talend, or similar)
Experience with
Data Quality Control
methodologies, data validation frameworks, and ensuring data accuracy at scale
Proficiency in at least one programming/scripting language:
Python, R, or DAX
for advanced analytics and automation
Experience working with
cloud data platforms : Snowflake, Databricks, Azure Synapse, AWS Redshift, or Google BigQuery
Strong understanding of
data modeling
principles including star schema, snowflake schema, and dimensional modeling
Experience with data visualization best practices, dashboard design principles, and user experience considerations
Proven ability to communicate complex analytical insights to both technical and non-technical executives
Experience working directly with C-level executives and business stakeholders to define BI requirements and drive adoption
Strong project management skills with ability to manage multiple client engagements simultaneously
Proficiency in English (required); proficiency in French is a strong asset for Quebec/NoèmeX projects
Nice-to-Haves
Experience with
Looker
(LookML development) and modern BI platforms
Knowledge of
statistical analysis
and
machine learning
concepts, with hands-on experience using Python (pandas, scikit-learn) or R
Experience with
AWS analytics services
(Redshift, QuickSight, Athena) or
GCP
(BigQuery, Looker Studio)
Familiarity with
dbt (data build tool)
for analytics engineering and transformation workflows
Experience implementing
data governance frameworks
(DAMA, data cataloging, metadata management)
Knowledge of
Master Data Management (MDM)
and
Data Quality
tools and best practices
Experience with
embedded analytics
and integrating BI solutions into applications
Familiarity with
Agile/Scrum methodologies
for BI development
Experience with
change management
and driving BI adoption across large organizations
Background in consulting or professional services delivering BI solutions to multiple clients
Experience with
financial services, healthcare, or manufacturing
analytics use cases
Certifications in
Snowflake
(SnowPro Core or Advanced),
AWS
(Data Analytics), or
Azure
(Data Engineer/BI)
Location:
Toronto or Montreal (Hybrid), Remote options available for senior candidates
Reporting relationship:
You will report to the Product Manager or Director of Analytics (depending on project assignment)
Our commitment to diversity, equity, and inclusion We're committed to employment equity and encourage women, Indigenous Peoples, persons with disabilities, veterans and persons of all races, ethnicities, religions, abilities, sexual orientations, and gender identities and expressions to apply. We also welcome applications from Latin America countries, as the position is remote-friendly for senior candidates.
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Apply on source site Summary
Our teams integrate into the client's operations. As a BI Developer, you will lead both the technical implementation and strategic direction of business intelligence solutions for enterprise clients. You will collaborate with C-suite executives, business stakeholders, and technical teams to design, build, and deploy BI solutions that are scalable, sustainable, and deliver measurable business value. You will bridge the gap between technical execution and business strategy, ensuring that analytics drive decision-making at all levels of the organization.
What you'll do (roles & responsibilities)
Lead the design, development, and deployment of enterprise BI solutions including executive dashboards, self-service analytics, and operational reporting systems using Power BI, Tableau, or Looker
Architect and implement end-to-end BI platforms that integrate with data warehouses (Snowflake, Databricks) and cloud ecosystems (AWS, Azure, GCP)
Develop interactive, insight-driven reports and dashboards with exceptional data visualization and storytelling capabilities
Implement robust Data Quality Control (QC) processes to ensure accuracy, consistency, and trustworthiness of analytics
Lead business intelligence strategy sessions with client executives and stakeholders to understand their analytical needs and translate them into technical solutions
Perform deep-dive analyses of business problems, build predictive models, and deliver data-driven recommendations to senior leadership
Optimize BI performance including DAX query optimization, data model design, ETL/ELT pipeline efficiency, and dashboard load times
Develop and maintain data governance frameworks, semantic layers, and reusable BI assets that enable self-service analytics at scale
Mentor and provide technical guidance to junior BI developers and client analytics teams
Leverage AI and automation to generate insights, build intelligent workflows, and drive growth discussions with Product and Executive teams
Partner with data engineering teams to ensure BI solutions are built on solid data foundations with proper data lineage and quality controls
Lead BI tool evaluations, proof-of-concepts, and technology selection processes for enterprise clients
Establish BI best practices, coding standards, documentation standards, and deployment processes
Work with DevOps pipelines (Git, Azure DevOps, CI/CD) to automate BI solution deployments and maintain version control
What you should have (Must-Haves)
Bachelor's degree required (Master's an asset) in Computer Science, Statistics, Business Analytics, or equivalent work experience
Must-have certifications:
Power BI Data Analyst Associate or Microsoft Certified: Azure Data Engineer Associate
OR
Tableau Desktop Specialist/Certified Professional
OR
equivalent BI platform certifications
Minimum of
7 years
of business intelligence and analytics experience, including hands-on development and strategic leadership
Minimum of
3 years
leading BI projects or managing BI teams (formal or informal leadership)
Expert-level proficiency in
Power BI
(including DAX, Power Query, data modeling, Power BI Service administration)
OR
equivalent expertise in
Tableau
or
Looker
Strong SQL skills for complex data analysis, optimization, and working with enterprise data warehouses
Demonstrated experience with
ETL/ELT processes
and data integration tools (Azure Data Factory, SSIS, Informatica, Talend, or similar)
Experience with
Data Quality Control
methodologies, data validation frameworks, and ensuring data accuracy at scale
Proficiency in at least one programming/scripting language:
Python, R, or DAX
for advanced analytics and automation
Experience working with
cloud data platforms : Snowflake, Databricks, Azure Synapse, AWS Redshift, or Google BigQuery
Strong understanding of
data modeling
principles including star schema, snowflake schema, and dimensional modeling
Experience with data visualization best practices, dashboard design principles, and user experience considerations
Proven ability to communicate complex analytical insights to both technical and non-technical executives
Experience working directly with C-level executives and business stakeholders to define BI requirements and drive adoption
Strong project management skills with ability to manage multiple client engagements simultaneously
Proficiency in English (required); proficiency in French is a strong asset for Quebec/NoèmeX projects
Nice-to-Haves
Experience with
Looker
(LookML development) and modern BI platforms
Knowledge of
statistical analysis
and
machine learning
concepts, with hands-on experience using Python (pandas, scikit-learn) or R
Experience with
AWS analytics services
(Redshift, QuickSight, Athena) or
GCP
(BigQuery, Looker Studio)
Familiarity with
dbt (data build tool)
for analytics engineering and transformation workflows
Experience implementing
data governance frameworks
(DAMA, data cataloging, metadata management)
Knowledge of
Master Data Management (MDM)
and
Data Quality
tools and best practices
Experience with
embedded analytics
and integrating BI solutions into applications
Familiarity with
Agile/Scrum methodologies
for BI development
Experience with
change management
and driving BI adoption across large organizations
Background in consulting or professional services delivering BI solutions to multiple clients
Experience with
financial services, healthcare, or manufacturing
analytics use cases
Certifications in
Snowflake
(SnowPro Core or Advanced),
AWS
(Data Analytics), or
Azure
(Data Engineer/BI)
Location:
Toronto or Montreal (Hybrid), Remote options available for senior candidates
Reporting relationship:
You will report to the Product Manager or Director of Analytics (depending on project assignment)
Our commitment to diversity, equity, and inclusion We're committed to employment equity and encourage women, Indigenous Peoples, persons with disabilities, veterans and persons of all races, ethnicities, religions, abilities, sexual orientations, and gender identities and expressions to apply. We also welcome applications from Latin America countries, as the position is remote-friendly for senior candidates.
#J-18808-Ljbffr