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Remote Entry Level Python Developer Jobs in Montreal, QC

This entry-level internship is an excellent chance that provides intensive training and multiple ... Basic knowledge of programming languages like HTML/CSS and JavaScript/jQuery (is a plus). * Your ...

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Remote Entry Level Python Developer information

What are the key skills and qualifications needed to thrive as a Remote Entry Level Python Developer, and why are they important?

To succeed as a Remote Entry Level Python Developer, you need a solid grasp of Python programming fundamentals, problem-solving abilities, and preferably a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, exposure to web frameworks such as Django or Flask, and basic knowledge of databases are typically required. Strong communication, time management, and self-motivation are crucial soft skills for effective remote collaboration and independent progress. These skills ensure you can write reliable code, work productively from a distance, and contribute efficiently to team projects.

What are some common challenges faced by remote entry level Python developers, and how can they be addressed?

Remote entry level Python developers often face challenges such as limited access to mentorship, communication barriers, and managing time effectively without direct supervision. To overcome these, it's helpful to proactively seek feedback from team members, participate in virtual stand-ups, and make use of collaboration tools like Slack or GitHub. Setting clear daily goals and maintaining regular check-ins with your manager can also ensure you stay aligned with project expectations while continuing to learn and grow in a supportive remote environment.

What is a Remote Entry Level Python Developer?

A Remote Entry Level Python Developer is a professional who works from a location outside the traditional office environment and is responsible for writing, testing, and maintaining code using the Python programming language. As an entry-level position, this role is typically suited for individuals who are new to the field of software development and may have recently completed a degree or training in computer science or a related discipline. These developers often work on a team under the guidance of senior developers and contribute to building web applications, automating tasks, or analyzing data. Remote work offers flexibility in location, but also requires good communication skills and self-motivation to succeed.

What is the difference between Remote Entry Level Python Developer vs Remote Data Analyst?

AspectRemote Entry Level Python DeveloperRemote Data Analyst
Required SkillsPython, basic SQL, problem-solvingSQL, Excel, data visualization, Python (optional)
Work EnvironmentSoftware development teams, tech companiesBusiness, finance, marketing sectors
CertificationsNone required, some prefer Python coursesNone required, data analysis courses beneficial

Remote Entry Level Python Developers focus on coding, software development, and building applications using Python. Remote Data Analysts analyze data sets, generate reports, and support decision-making. While both roles may require basic Python knowledge, developers primarily write code, whereas data analysts interpret data. Both roles are common in tech and business industries, often working remotely with similar entry-level credentials.

What are the most commonly searched types of Remote Python Developer jobs in Montreal, QC? The most popular types of Remote Python Developer jobs in Montreal, QC are:
What are popular job titles related to Remote Entry Level Python Developer jobs in Montreal, QC? For Remote Entry Level Python Developer jobs in Montreal, QC, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Python Developer jobs in Montreal, QC look for? The top searched job categories for Remote Entry Level Python Developer jobs in Montreal, QC are:
Infographic showing various Remote Entry Level Python Developer job openings in Montreal, QC as of May 2026, with employment types broken down into 8% Internship, 69% Full Time, 8% Part Time, and 15% Contract. Highlights an 100% Remote job distribution.

Innovation & Ops Analyst - Customer Success

Axya

Montreal, QC • Remote

Full-time

Posted 23 days ago


Job description

About Axya

Axya is the AI-powered procurement platform for engineering-to-order manufacturers - aerospace, custom vehicles, machinery. We help upper mid-market manufacturers run faster, more reliable procurement through workflow-native software and an agentic AI layer that captures the execution data ERPs miss. Customers include MDA Space and Marmen.

We just closed our Series A. The next 12 months are about scaling the operating muscle behind our customer base - and CS sits at the center of it.

The Role

We are hiring a CS Innovation & Ops Analyst to be the force multiplier behind our entire CS team. You will own the data, automation, and AI workflow infrastructure that lets every CSM deliver sharper, more measurable outcomes - and turn what we observe across the customer base into insights that drive real business decisions.

This is a new role on a high-leverage team. You report to the VP of CS and work closely with CSMs, Product, and the executive team. Not a passive analyst - a builder who designs the systems that make the team scale.

What You'll Own

1. AI & Workflow Infrastructure

  • Design and ship automated workflows (n8n, LLMs, internal tooling) that eliminate manual work across CS.
  • Build LLM-powered insight pipelines: health summaries, QBR prep packs, churn-risk alerts, expansion signals.
  • Continuously identify the next workflow to automate. Ship it. Measure the time saved.

2. Customer Health & Pipeline Analytics

  • Own customer health scoring infrastructure - define inputs, build the pipeline, surface signal.
  • Run automated analysis across PO volume, supplier onboarding, buyer activity, and deployment KPIs to flag deviation early.
  • Build and maintain renewal and expansion forecasting infrastructure alongside the VP.

3. QBR & Reporting Generation

  • Generate QBR materials and ROI reports at scale (Metabase + n8n + LLM pipelines).
  • Standardize the reporting layer so every CSM walks into a customer review with sharp, defensible data.

4. Insights Action

  • Turn observations across the customer base into business-impact recommendations: where to push expansion, where churn risk is building, which product gaps are blocking deployment.
  • Bring those insights to the VP, CS team, Product, and exec team. Expectation is impact, not dashboards.

Who You Are

A builder who thinks in systems. You see a manual process and reflexively reach for an automation. Equally comfortable writing a prompt, sketching a workflow, debugging a Metabase/SQL query, and presenting a recommendation to the exec team. You translate data into action - you tell the team what to do next, and why.

Must-Haves

  • Hands-on experience building AI/LLM workflows in production: prompt design, n8n or equivalent, agentic patterns, structured output pipelines.
  • Strong business acumen - you can identify what matters in a dataset and translate it into a clear recommendation a CEO or VP can act on.
  • Comfortable with SQL, Metabase or similar BI tool, and JSON/API work.
  • 3-5+ years of relevant experience. We weight adjacent experience heavily - data analytics, engineering, ops engineering, RevOps, founding-team builder roles, AI workflow building, supply chain operations/analyst, consulting, ... all count.
  • Working proficiency in English. Strong written communication - you can ship a one-page insight memo execs actually read.

Nice-to-Haves

  • Domain knowledge in manufacturing, supply chain, or procurement - or the demonstrated ability to ramp on a vertical fast.
  • B2B SaaS Customer Success, RevOps, or analytics function experience.
  • Modern AI tooling stack: Claude/GPT APIs, embeddings, vector search, eval frameworks.
  • Light Python/JavaScript/SQL - enough to write a script when no-code runs out of room.
  • French is a plus.

What Success Looks Like in 12 Months

  • Automated health scoring, QBR generation, and renewal/expansion forecasting infrastructure shipped and used weekly.
  • The VP of CS is no longer the single point of failure on these subjects - there's a scalable framework.
  • At least 2-3 insights you surfaced have driven measurable change: a renewal save, an expansion deal, a roadmap shift, a deployment unblock.

Why Axya

  • Direct line to the VP of CS and visibility into the executive team. Your work compounds across the entire customer base.
  • Agent-first, workflow-native. AI as core infrastructure, not marketing.
  • Remote-friendly, async-respectful, low-meeting. Output over hours.