Business Intelligence Analyst – Intermediate

atPATHRemoteCA flagCanadaFull-timeUncategorizedMid-levelSenior

Posted Sep 16

This is a fully remote position, open to applicants in Canada.

πŸ“‹ Description

β€’ Offer hands-on business intelligence assistance for strategic data projects aligned with the Data Strategy.

β€’ Convert data into actionable insights that facilitate strategic decision-making.

β€’ Develop dashboards, reports, and business KPIs.

β€’ Provide business intelligence services tailored to the needs of both internal and external clients.

β€’ Create analytical data products and services utilizing diverse data sets.

β€’ Conduct data analysis and prepare results accordingly.

β€’ Collect and document client requirements effectively.

β€’ Design and construct data products.

β€’ Capture and document both business and technical metadata for data products.

β€’ Execute data analysis, quality audits/reviews, statistical analysis, and data mining tasks.

β€’ Develop and disseminate data models and products.

β€’ Establish baseline and ongoing outcomes, key results, metrics, and other performance indicators.

β€’ Provide insights, assist in decision-making, and support strategic business planning.

β€’ Integrate both quantitative and qualitative data to generate business insights.

β€’ Design and craft dashboards and customized reporting solutions.

β€’ Address issues and risks as necessary.

β€’ Operate within a multi-vendor/staff environment.


⛳️ Requirements

β€’ Proven experience in data analysis, data modeling, statistical analysis, data governance, data science, data quality, advising, business analysis, and data product design and delivery.

β€’ Proficiency in creating dashboards, reports, and business KPIs.

β€’ Capability to develop data products from various data sets.

β€’ Skill in analyzing data and preparing results efficiently.

β€’ Competence in gathering and documenting client requirements.

β€’ Expertise in designing and developing data products.

β€’ Ability to capture and record both business and technical metadata.

β€’ Experience in conducting data quality audits/reviews, statistical analysis, and data mining.

β€’ Proficiency in developing and sharing data models and products.

β€’ Ability to formulate outcomes, key results, metrics, and other indicators.

β€’ Skill in integrating quantitative and qualitative data.

β€’ Ability to design and create dashboards and custom reports using various data sources and inputs.

β€’ Capability to escalate issues and risks appropriately.

β€’ Experience working within a multi-vendor/staff environment.


🏝️ Benefits

β€’ Competitive salary and performance-based incentives.

β€’ Opportunities for professional development and career advancement.

β€’ Flexible work arrangements and a supportive work environment.

β€’ Access to cutting-edge tools and technologies.

β€’ Comprehensive health and wellness benefits.

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