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Excel Data Analyst Jobs in Quebec (NOW HIRING)

... analysis document review scenario design analytical thinking written communication verbal ... Document feedback and provide detailed, side-by-side preference data to inform AI model ...

... analysis document review scenario design analytical thinking written communication verbal ... Document feedback and provide detailed, side-by-side preference data to inform AI model ...

... analysis document review scenario design analytical thinking written communication verbal ... Document feedback and provide detailed, side-by-side preference data to inform AI model ...

... analysis document review scenario design analytical thinking written communication verbal ... Document feedback and provide detailed, side-by-side preference data to inform AI model ...

... analysis document review scenario design analytical thinking written communication verbal ... Document feedback and provide detailed, side-by-side preference data to inform AI model ...

Strong skills in Excel, Data Visualization tools (Power BI/Tableau/Looker) data modeling, SQL ... Strong analytical and critical thinking skills; ability to analyse, interpret, and synthesise data

Proficiency in Excel (data analysis, financial modelling) * Ability to organize, consolidate and validate financial data from multiple sources * Experience with Prophix and PeopleSoft (asset) Soft ...

Analyst Customer Loyalty

Montreal, QC · On-site

CA$45K - CA$84K/yr

Data Analytics & Reporting Understands and articulates the business case of business questions and the estimated value being delivered. Designs dashboards and analyses to be performed, and ...

New

Analyze operational feedback and operating data from DIT and SONO systems. * Produce relevant statistics, indicators, and ratios in collaboration with Systra's RAMS team and STM engineering teams.

Showing results 41-60

Excel Data Analyst information

What are the typical career advancement opportunities for an Excel data analyst?

Excel Data Analysts often have multiple pathways for career growth, including moving into senior analyst roles, specializing in business intelligence, or transitioning to data science positions. Many professionals expand their technical toolkit by learning advanced analytics platforms, programming languages (like Python or SQL), or gaining experience with data visualization software such as Power BI or Tableau. Advancement may also come through industry-specific expertise or taking on leadership and project management responsibilities. With experience, Excel Data Analysts can become invaluable team members who drive strategic business decisions and may lead analytics teams.

What is an Excel data analyst?

An Excel Data Analyst is responsible for interpreting and analyzing data using Microsoft Excel to help businesses make informed decisions. They work with datasets, create reports, build dashboards, and use formulas and pivot tables to identify trends and insights. This role often involves data cleaning, visualization, and automation using Excel functions like VLOOKUP, INDEX-MATCH, and macros. Excel Data Analysts are crucial in optimizing workflows and improving data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as an Excel data analyst?

To thrive as an Excel Data Analyst, you need advanced Excel skills, strong analytical abilities, and attention to detail, typically supported by a background in mathematics, statistics, or a related field. Familiarity with data visualization tools, database systems, and relevant certifications such as Microsoft Excel certification are highly valued. Excellent problem-solving, communication, and time management skills enable you to interpret data effectively and present findings clearly. These skills are critical for extracting actionable insights from complex data sets and supporting data-driven decision-making processes within an organization.

What are popular job titles related to Excel Data Analyst jobs in Quebec? For Excel Data Analyst jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Excel Data Analyst jobs in Quebec look for? The top searched job categories for Excel Data Analyst jobs in Quebec are:
Infographic showing various Excel Data Analyst job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Remote Excel Specialist

Micro1

On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Excel Specialist
$20 - $60/hourpay
Required Skills
microsoft excel
office open xml
microsoft powerpoint
microsoft word
business analysis
document review
scenario design
analytical thinking
written communication
verbal communication
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role Title: Excel Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Excel Specialists to support a customer’s initiative focused on enhancing an LLM’s proficiency in creating, understanding, and modifying Office Open XML files—including complex .xlsx, .docx, and .pptx documents. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and simulate challenging, realistic business scenarios that require expert-level use of Excel, PowerPoint, and Word, mirroring tasks from your professional experience.
  2. Engage in structured, multi-turn conversations with an LLM, presenting complex document-related prompts and evaluating AI-generated deliverables.
  3. Create and review Office documents (.xlsx, .docx, .pptx), assessing two AI-generated solutions against professional standards and selecting the preferred output.
  4. Document feedback and provide detailed, side-by-side preference data to inform AI model improvements, focusing on quality, accuracy, and business relevance.
  5. Contribute domain-specific insight across multiple industries and business functions, ensuring the data collected covers diverse, real-world use cases.
  6. Communicate clearly and thoughtfully in both written and verbal formats to ensure precise understanding and actionable feedback for the AI training team.


Preferred Qualifications

  1. Minimum 3+ years of professional experience working in Fortune 500 environments using Excel, PowerPoint, and Word on high-impact business projects.
  2. Demonstrated expertise in creating complex models, reports, analyses, and presentations across various industries such as finance, healthcare, tech, consulting, or retail.
  3. Background in business roles such as private equity associate, investment banking analyst, junior consultant, FP&A analyst, HR, or marketing strategist, with hands-on involvement in deal or project work.
  4. Proficiency in designing use cases reflecting functions like strategy, operations, sales, marketing, finance, or HR.
  5. Exceptional written and verbal communication skills, with a keen eye for detail and clarity in articulating feedback.
  6. Experience interacting with LLMs or writing long-form prompts for AI tools is a strong plus.
  7. Strong analytical mindset and ability to evaluate nuanced differences in document quality and business applicability.