Business Intelligence Analyst – Intermediate

Job not on LinkedIn

🔥 1 minute ago

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Business Intelligence Developer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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PATH

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1977

💰 Grant - PATH on 2025-07

PATH is a global nonprofit dedicated to health equity. With nearly 50 years of experience forging multisector partnerships, and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world’s most pressing health challenges.

📋 Description

• Provide hands-on business intelligence support for strategic data initiatives under the Data Strategy • Translate data into actionable business insights supporting strategic decisions • Create dashboards, reports and business KPIs • Deliver business intelligence capabilities for internal and external client needs • Develop analytical data products and services based on various data sets • Analyze data and prepare results • Gather and document client requirements • Design and develop data products • Capture business and technical metadata for data products • Perform data analysis, data quality audits/reviews, statistical analysis and data mining • Develop and share data models and products • Develop baseline and ongoing outcomes, key results, metrics and other indicators • Provide insights, support decision-making and facilitate strategic business planning • Integrate quantitative and qualitative data to create business insights • Design and create dashboards and custom reporting • Escalate issues and risks as appropriate • Work within a multi-vendor/staff environment

🎯 Requirements

• Experience in data analysis, data modelling, statistical analysis, data governance, data science, data quality, advising, business analysis, data product design and delivery • Ability to create dashboards, reports and business KPIs • Ability to develop data products based on various data sets • Ability to analyze data and prepare results • Ability to gather and document client requirements • Ability to design and develop data products • Ability to capture and document business and technical metadata • Experience performing data quality audits/reviews, statistical analysis and data mining • Ability to develop and share data models and products • Ability to develop outcomes, key results, metrics and other indicators • Ability to integrate quantitative and qualitative data • Ability to design and create dashboards and custom reporting using various data sources and inputs • Ability to escalate issues and risks appropriately • Ability to work within a multi-vendor/staff environment