Senior BI Engineer building data models, semantic layers, and dashboards for Jobber’s small - business service platform. Driving governed self - service analytics and trusted business metrics.
About the role
- BI Developer designing and supporting analytics solutions for Giant Tiger's retail operations. Collaborating across teams and utilizing advanced BI tools and technologies.
Responsibilities
- Design, develop, test, deploy, and support BI, reporting, dashboard, semantic layer, and analytics solutions using approved BI, data warehouse, and cloud analytics platforms.
- Gather and translate business requirements into scalable BI, data, and analytics deliverables that support business goals and a single version of the truth.
- Write, validate, troubleshoot, and optimize complex SQL and BigQuery/GCP solutions to support reporting, analysis, reconciliation, data quality, and governed reporting.
- Develop and support BI platform objects, datasets, dashboards, visualizations, metrics, filters, prompts, semantic models, and other analytics components.
- Complete development tasks according to defined performance, cost, security, governance, data quality, and tool standards.
- Deliver assigned work within agreed timelines, ensuring solutions meet business requirements and technical quality expectations.
- Follow SDLC, Change Management, deployment, documentation, and DevOps procedures as defined by the team and organization.
- Create and execute technical testing, data validation, reconciliation, and production readiness activities.
- Monitor, tune, support, troubleshoot, and improve BI and data environments, including reports, dashboards, data refreshes, SQL performance, BigQuery cost/performance, data quality, standards, procedures, and operational reliability.
- Escalate delays, risks, blockers, and business-impacting issues to the appropriate project lead, manager, or support team.
- Apply automation, Python, JavaScript, AI, conversational analytics, and agent-based technologies where appropriate to improve analytics delivery, operational support, and business user experience.
- Collaborate with business, BI, data, integration, infrastructure, security, and vendor teams to support reliable, scalable, and governed analytics solutions.
Requirements
- Bachelor’s degree or college diploma in Information Technology, Computer Science, Computer Engineering, Data Analytics, Business Intelligence, or an equivalent combination of education and experience.
- 5+ years of experience developing, maintaining, and supporting BI, reporting, analytics, or data warehouse solutions.
- 5+ years of experience writing, validating, troubleshooting, and optimizing SQL queries, views, joins, aggregations, and data transformations.
- 3+ years of experience developing dashboards, reports, datasets, semantic layers, metrics, filters, prompts, and visualizations using enterprise BI tools.
- 3+ years of experience with data warehouse concepts, dimensional modelling, data quality, reconciliation, governance, and production BI support.
- 2+ years experience translating business requirements into scalable BI, data, and analytics solutions.
- 2+ years experience with SDLC, change management, testing, documentation, deployment, and Waterfall and/or Agile methodologies.
- Experience recommending data-related standards, procedures, models, and solutions used to collect, organize, store, retrieve, and deliver information.
- Experience monitoring, tuning, and improving BI and data environments, including performance, usage, data refreshes, query efficiency, reliability, and operational support.
- Experience with Google Cloud Platform, especially BigQuery, is strongly preferred.
- Experience with MicroStrategy / Strategy, Looker, Python, JavaScript, AI, conversational analytics, or agent-based solutions is considered an asset.
- Experience with Customer Data Platforms, customer analytics, loyalty data, personalization, customer segmentation, or related customer data capabilities is considered an asset.
- Retail, merchandising, ecommerce, supply chain, inventory, finance, customer analytics, or Merchandise Management System experience is considered an asset.
Benefits
- Competitive Compensation : The salary range for this position is listed above. Giant Tiger will consider factors such as experience, skills and internal equity to ensure you are paid competitively.
- Short Term Incentive Plan : This role includes an annual bonus opportunity based on the percentage of base salary listed above, with payout determined by company and individual performance.
- Retirement Support : This role is eligible for company-funded retirement savings, with contributions made on your behalf. The specific retirement program and contribution level are noted above.
- Health Benefits and Paid Time Off : Access to our flexible, cost-shared health and dental benefits (available on hire) and annual paid time off, including personal and vacation days, plus additional paid holiday time between Christmas and New Year’s.
- Career Growth : Giant Tiger is committed to developing our people. We promote from within, and many of our leaders started right here. We provide the coaching, training, and support you need to build a long-term career.
- Extra Giant Tiger Perks: • Store Discount, • Parental leave salary top-up, • Recognition program that celebrates great work with monetary rewards and other perks, • Safety first environment.
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