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 LookerArchitect 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 capabilitiesImplement robust Data Quality Control (QC)



processes to ensure accuracy, consistency, and trustworthiness of analyticsLead business intelligence strategy sessions with client executives and stakeholders to understand their analytical needs and translate them into technical solutionsPerform deep-dive analyses of business problems, build predictive models, and deliver data-driven recommendations to senior leadershipOptimize BI performance including DAX query optimization, data model design, ETL/ELT pipeline efficiency, and dashboard load timesDevelop and maintain data governance frameworks, semantic layers, and reusable BI assets that enable self-service analytics at scaleMentor and provide technical guidance to junior BI developers and client analytics teamsLeverage AI and automation to generate insights, build intelligent workflows, and drive growth discussions with Product and Executive teamsPartner with data engineering teams to ensure BI solutions are built on solid data foundations with proper data lineage and quality controlsLead BI tool evaluations, proof-of-concepts, and technology selection processes for enterprise clientsEstablish BI best practices, coding standards, documentation standards, and deployment processesWork with DevOps pipelines (Git, Azure DevOps, CI/CD) to automate BI solution deployments and maintain version controlWhat you should have (Must-Haves)
Bachelor's degree required (Master's an asset) in Computer Science,



Statistics, Business Analytics, or equivalent work experienceMust-have certifications:
Power BI Data Analyst Associate or Microsoft Certified: Azure Data Engineer Associate
OR
Tableau Desktop Specialist/Certified Skilled
OR
equivalent BI platform certificationsMinimum of
7 years
of business intelligence and analytics experience, including hands-on development and strategic leadershipMinimum 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
LookerStrong SQL skills for complex data analysis, optimization, and working with enterprise data warehousesDemonstrated 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 scaleProficiency in at least one programming/scripting language:
Python, R, or DAX
for advanced analytics and automationExperience working with
cloud data platforms : Snowflake, Databricks, Azure Synapse, AWS Redshift, or Google BigQueryStrong understanding of
data modeling
principles including star schema, snowflake schema, and dimensional modelingExperience with data visualization best practices, dashboard design principles, and user experience considerationsProven ability to communicate complex analytical insights to both technical and non-technical executivesExperience working directly with C-level executives and business stakeholders to defi

📌 Bi Developer (Winnipeg)
🏢 Global Data & BI
📍 Winnipeg