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Remote Junior Data Quality Analyst Jobs in Quebec

Archera

Software Engineer, Data Quality

Quebec, QC · Remote

As a Software Engineer focused on data quality, you will build the automated validation ... Remote-first culture * Opportunity to shape and scale a category-defining FinTech platform

Targeted Talent

Senior Data Engineer

Montreal, QC · Remote

This is a permanent position that is completely remote! Our client is a global enterprise company ... Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience ...

Targeted Talent

Senior Data Engineer

Quebec, QC · Remote

This is a permanent position that is completely remote! Our client is a global enterprise company ... Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience ...

Targeted Talent

Senior Data Engineer

Montreal, QC · Remote

This is a permanent position that is completely remote! Our client is a global enterprise company ... Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience ...

Targeted Talent

Senior Data Engineer

Quebec, QC · Remote

This is a permanent position that is completely remote! Our client is a global enterprise company ... Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience ...

Agropur Cooperative

Data Governance Analyst

Quebec, QC · On-site +1

CA$126/hr

Flexible remote work options; * Flexible group insurance plan including telemedicine services ... Define and implement data governance policies (quality, security, compliance) with the goal of ...

Devoted Studios

QA Analyst

Montreal, QC · Remote

Devoted Studios is a globally remote game development company specializing in Co-development ... Gearbox Software As a QA Analyst, you will be responsible for testing gameplay features ...

Tecsys Inc.

Data Engineer (DevOps)

Montreal, QC · On-site +1

Having recognized the advantages of remote work, including employee morale, productivity, reduced ... This is a hybrid role that builds and operates the cloud data platform powering our analytics and ...

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Remote Junior Data Quality Analyst information

What does a remote junior data quality analyst do?

A Remote Junior Data Quality Analyst is responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They typically work from a remote location, using tools to identify data errors, validate data sets, and maintain data integrity. Their tasks may include cleaning data, running quality checks, creating reports, and collaborating with other team members to resolve data issues. This role is entry-level, so training and learning on the job are common.

What are the key skills and qualifications needed to thrive as a remote junior data quality analyst?

To thrive as a Remote Junior Data Quality Analyst, you need foundational skills in data analysis, attention to detail, and a bachelor's degree in a relevant field such as computer science or statistics. Familiarity with data management tools like SQL, Excel, and data visualization software, as well as experience with data quality frameworks, is typically required. Strong communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating remotely and addressing data issues proactively. These skills ensure accurate data validation, effective teamwork, and reliable insights for organizational decision-making.

What are some common challenges faced by remote junior data quality analysts, and how can they be addressed?

Remote Junior Data Quality Analysts often encounter challenges such as miscommunication within distributed teams and limited immediate guidance due to working remotely. Staying proactive with regular check-ins, making use of collaborative tools, and documenting processes thoroughly can help bridge communication gaps. Additionally, managing data inconsistencies or incomplete information is common; leveraging standardized validation procedures and seeking feedback from more experienced teammates can help ensure accuracy. Building strong communication habits and being resourceful are key to thriving in this remote role.

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For Remote Junior Data Quality Analyst jobs in Quebec, the most frequently searched job titles are:

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Remote Junior Data Quality Analyst jobs near you
Infographic showing various Remote Junior Data Quality Analyst job openings in Quebec as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 87% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Software Engineer, Data Quality

Quebec, QC • Remote

Archera
Software Development • 11 - 50 employees
Learn more about Archeraexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

Key responsibilities

  • Build automated data validation, reconciliation, and anomaly detection workflows to ensure data quality across billing data from AWS, Azure, and Google Cloud.

  • Investigate data-quality problems, identify root causes, fix issues, and automate checks to prevent recurrence.

  • Work with sales and customer success teams to diagnose and resolve live data issues as they arise.

Job description

Software Engineer, Data QualityCompany Overview

Archera empowers organizations of all sizes to optimize their cloud costs through unique, short-term, insured commitments. Thousands of customers rely on Archera's innovative FinTech solutions to increase their cloud ROI while accelerating revenue objectives and service agility.

Archera's unique cloud rate insurance products and free FinOps platform enable teams to accurately predict and plan infrastructure growth, maximize commitment-based savings, and hedge against market demands and evolving cloud service provider offerings. Archera works closely with AWS, Microsoft Azure, and Google Cloud, along with a broad partner ecosystem, to help customers execute financially prudent cloud strategies.

Position Overview

Customers commit real money based on the numbers Archera shows them, so a wrong number is not a broken dashboard - it is a wrong financial decision. Getting it right is genuinely hard: our product spans a large surface area, and AWS, Azure, and Google Cloud each represent billing in a different format. As a Software Engineer focused on data quality, you will build the automated validation, reconciliation, and anomaly detection that keeps problems from ever reaching a customer, and you will become one of the few engineers anywhere who knows how all three providers really model their billing data.

Key Responsibilities
  • Go deep on the product's data model and on how AWS, Azure, and Google Cloud each format billing differently, documenting what you find rigorously.
  • Build automated data validation, reconciliation, and anomaly detection, including the workflows (Argo or equivalent) that run the checks.
  • Investigate data-quality problems to root cause, fix them, and automate the check that prevents a repeat.
  • Replace the manual data checks the team runs before customer demos with durable, automated coverage.
  • Extend test automation to critical product surfaces.
  • Work with sales and customer success on live data questions, diagnosing and resolving issues as they surface.
  • Use AI tooling to accelerate investigation, check generation, and anomaly triage.
Qualifications
  • 3+ years of software or data engineering experience, or equivalent hands-on experience building and shipping code.
  • Strong attention to detail - you notice the number that is subtly wrong, and you care because someone is budgeting against it.
  • SQL fluency for transformation and reconciliation, plus comfort scripting. Python is preferred; a strong engineer who knows SQL and another language and will pick up Python works well here.
  • A preference for automating a check rather than repeating it.
  • Interest in becoming the definitive expert on how three cloud providers each represent billing - knowledge very few engineers have.
  • Comfort with AI tooling, used with judgment, to raise coverage and move faster.
Nice-to-Haves
  • Cloud billing across AWS, Azure, or Google Cloud, FinOps, or other financial-data domains.
  • Data-quality frameworks such as dbt tests, Great Expectations, or Soda.
  • Workflow orchestration (Argo, Airflow, Dagster) and data pipeline or ETL experience.
  • Test automation and CI for data or application surfaces.
  • Experience making data trustworthy for customer-facing or revenue-critical use.
Benefits
  • Competitive salary and equity package
  • Comprehensive medical, dental, and vision coverage
  • 401(k) plan
  • Flexible PTO and company holidays
  • Remote-first culture
  • Opportunity to shape and scale a category-defining FinTech platform

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