BI Developer

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.

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.

• 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 Dev Ops pipelines (Git, Azure Dev Ops, CI/CD) to automate BI solution deployments and maintain version control

• 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 Big Query
• Strong understanding of data modeling principles…