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Business Intelligence Analyst

  • Montreal, QC, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original job description

Company Description Tookli is a digital innovation partner that helps businesses and entrepreneurs turn their ambitions into impactful web, mobile, and AI-driven solutions. The company focuses on custom digital products that streamline operations, enhance efficiency, and support sustainable growth. Combining technical expertise with creativity and innovation, Tookli delivers practical, scalable solutions tailored to each client’s needs. Team members collaborate closely with clients on a variety of software development and digital transformation projects, contributing to the design and implementation of forward-thinking technologies.
Role Description The Business Intelligence Analyst is a full-time, hybrid role based in Montreal, QC, with flexibility for partial work from home. This role is responsible for gathering, analyzing, and interpreting data from multiple sources to support strategic and operational decision-making. Day-to-day tasks include building and maintaining dashboards and reports, developing data models, and working with business intelligence tools to transform complex data into clear, actionable insights. The analyst collaborates with stakeholders to understand business requirements, translates them into analytical solutions, and communicates findings in a concise, accessible manner. The role also involves continuously improving data processes, ensuring data quality, and contributing to the evolution of Tookli’s analytics capabilities.
Qualifications
  • Strong analytical skills, including the ability to interpret complex data and identify trends and patterns.
  • Experience with data modeling and database concepts to design and optimize data structures.
  • Proficiency in developing dashboards and reports using business intelligence tools (e.g., Power BI, Tableau, Looker).
  • Background in business analysis, with the ability to translate business needs into data-driven solutions.
  • Knowledge of SQL and data querying; experience with ETL processes or data pipelines is an asset.
  • Bachelor’s degree in data science, computer science, information systems, business, or a related field, or equivalent practical experience.
  • Strong communication skills, with the ability to present findings to technical and non-technical stakeholders.
  • Ability to work collaboratively in a hybrid environment and manage multiple projects and priorities.
  • Experience in software development, digital products, or technology consulting is considered an advantage.
More about this job

Responsibilities

Gather, analyze, and interpret data from multiple sources to support strategic and operational decisions, and build and maintain dashboards, reports, and data models. Collaborate with stakeholders to turn business requirements into analytical solutions, communicate actionable findings, and improve data processes and analytics capabilities.

Requirements

Candidates should have strong analytical, data modeling, database, business analysis, and communication skills, along with proficiency in BI tools such as Power BI, Tableau, or Looker and knowledge of SQL. A relevant bachelor’s degree or equivalent practical experience is expected; ETL or data pipeline experience and a background in software development, digital products, or technology consulting are advantageous.

Skills

  • Data Analysis
  • Data Interpretation
  • Trend Analysis
  • Data Modeling
  • Database Concepts
  • Dashboard Development
  • Report Development
  • Business Intelligence Tools
  • Business Analysis
  • SQL
  • Data Querying
  • ETL Processes
  • Data Pipelines
  • Data Quality
  • Stakeholder Communication
  • Project Management

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Consulting

Keywords

  • Business Intelligence
  • Data Analysis
  • Data Modeling
  • Database Concepts
  • Dashboards
  • Reporting
  • Power BI
  • Tableau
  • Looker
  • SQL
  • Data Querying
  • ETL
  • Data Pipelines
  • Data Quality
  • Business Analysis
  • Stakeholder Collaboration
  • Strategic Decision-Making
  • Operational Decision-Making
  • Digital Products
  • Software Development
  • Digital Transformation
  • Technology Consulting
  • Analytics
  • Data-Driven Solutions

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