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Remote Entry Level Data Analyst Jobs in Toronto, ON

Wand

Product Data Analyst

Toronto, ON · Remote

$145K - $175K/yr

Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

Owl.co

Part-time Data Quality Analyst

Toronto, ON · Remote

CA$20/hr

As a Data Quality Analyst, you will play a pivotal role in leveraging data to ensure the integrity ... This is a remote, part-time role (15-30 hours/week). Responsibilities & Scope: * Conduct ...

Mercor

Investment Research Analyst

Toronto, ON · Remote

CA$105/hr

Remote Commitment: 10-20 hours/week Role Responsibilities * Conduct equity and macroeconomic ... Analyze earnings reports, filings, and market data for improved model outputs . * Assist in ...

Morson Talent

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

... remote) Job Overview As an Azure and Databricks Data Engineer, you will be responsible for ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

Epistemix

Data Scientist

Toronto, ON · Remote

Traditional analytical techniques built on historical data were not built for this. Epistemix was ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Generac

Intern Data

Toronto, ON · On-site +1

CA$29 - CA$40/hr

... and remote ecopeeps in the US. We get to work with some of North America and UK's leading ... Or rather analyzing how they work and the meaning behind their data? * You are currently a ...

Morson Talent

25-010 Senior Data Developer

Pickering, ON · Remote

$80 - $95/hr

... Pickering (100% Remote) Job Overview JOB FUNCTION As a Senior Data Developer, you will be ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

NTT DATA Services

Murex S4C Consultant

Toronto, ON · On-site +1

CA$80K - CA$120K/yr

Use SQL to support reporting, troubleshooting, data analysis, trade feed monitoring, and ... The starting pay range for this remote role is $80,000-120,000. This range reflects the minimum and ...

NTT DATA Services

Murex S4C Consultant

Toronto, ON · On-site +1

CA$80K - CA$120K/yr

Use SQL to support reporting, troubleshooting, data analysis, trade feed monitoring, and ... The starting pay range for this remote role is $80,000-120,000. This range reflects the minimum and ...

Synnex

Solutions Architect

Mississauga, ON · On-site +1

Analyze Customer Needs: Review RFI/RFP documents and ask insightful questions to clarify ... Exposure to vendor technologies or entry-level data center technical certifications (e.g., server ...

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Remote Entry Level Data Analyst information

How to get a job as a data analyst with no experience?

To secure an entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Gain practical experience by working on personal projects, volunteering, or participating in internships to demonstrate your ability to analyze data and communicate insights effectively.

What does a typical day look like for a Remote Entry Level Data Analyst?

A typical day as a Remote Entry Level Data Analyst often involves cleaning and organizing datasets, generating basic reports, and collaborating with team members through virtual meetings and communication platforms. You might use spreadsheet software or data visualization tools to identify trends and present findings to your supervisor or project stakeholders. Regular tasks also include responding to ad-hoc requests for data and assisting more senior analysts on larger projects. Since you’re working remotely, maintaining clear communication and managing your time independently are crucial for staying aligned with your team’s goals.

What is a Remote Entry Level Data Analyst job?

A Remote Entry Level Data Analyst is a professional who works from a remote location to collect, process, and analyze data to help businesses make informed decisions. They use tools like Excel, SQL, and Python to identify trends, create reports, and support decision-making. Since this is an entry-level role, it typically requires basic data analysis skills and may involve working under the guidance of experienced analysts. Strong communication and problem-solving skills are essential for translating data insights into actionable business strategies.

How to make $2000 a week working from home?

A remote entry-level data analyst can increase earnings by gaining skills in data visualization, SQL, and Excel, and by taking on multiple freelance or contract projects. Earning $2000 weekly typically requires working full-time hours, building a strong portfolio, and possibly obtaining relevant certifications to attract higher-paying opportunities.

Is it possible to get a remote job as a data analyst?

Yes, remote entry-level data analyst positions are widely available, especially as many companies adopt flexible work arrangements. These roles typically require skills in data visualization, SQL, and Excel, and often involve using tools like Tableau or Power BI. Candidates should have a basic understanding of data analysis concepts and may need to demonstrate proficiency through assessments or certifications.

What are the key skills and qualifications needed to thrive in the Remote Entry Level Data Analyst position, and why are they important?

To thrive as a Remote Entry Level Data Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency with spreadsheet and data visualization tools—often supported by a degree in a related field such as mathematics or computer science. Familiarity with programming languages like SQL or Python and experience using analytics platforms like Excel, Tableau, or Google Data Studio are commonly required. Strong attention to detail, effective communication, and self-motivation are key soft skills for remote collaboration and successful project delivery. These skills are essential for accurately interpreting data, sharing actionable insights, and contributing to team objectives in a distributed work environment.

How to make $1000 a week remote?

A remote entry-level data analyst can aim to earn $1000 weekly by working multiple part-time or freelance projects, leveraging skills in Excel, SQL, or data visualization tools. Building a strong portfolio, obtaining relevant certifications, and applying to multiple clients or companies can increase earning potential, especially when working consistently and efficiently.
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Remote Entry Level Data Analyst jobs near you
Infographic showing various Remote Entry Level Data Analyst job openings in Toronto, ON as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Product Data Analyst

Product Data Analyst

Wand

Toronto, ON • Remote

$145K - $175K/yr

Full-time

Posted 23 days ago

Job description

Wand makes gaming magical. Through game customization and guidance, we build tools that helps players have more fun in their favorite games.

Our platform works across thousands of PC games, ensuring that great games are accessible to everyone, regardless of time constraints, skill level, or accessibility needs. We want to build the future of game assistance, and we're hoping you'll join us.

About the role

We're hiring a Product Analyst to own the metrics that matter most and chase down the questions nobody else has time for. You'll partner with Product, Growth, Marketing, and Finance — not as a service desk, but as a peer who pushes back when the question being asked isn't the right one.

This is a senior IC role. You'll set the analytical bar, define the metrics frameworks the rest of the team relies on, and run the experiments that decide what ships. Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and the decision that follows.

What you'll own

The metrics that run the business. You'll own the dashboards and definitions Product, Growth, Marketing, and Finance rely on every day. When a number moves, you'll know before anyone else — and you'll know why. You'll build in Hex, document in our spec, and enforce consistent definitions across teams.

Deep investigation. When retention dips or a funnel leaks, you won't stop at the symptom. You'll follow the thread — through cohorts, segments, the quirks of specific games — until you can name the cause and recommend a fix. You'll notice when a chart doesn't look right and you won't leave it alone.

Experimentation. You'll design and analyze A/B tests on product changes, pricing, onboarding, and growth initiatives. You'll set sample sizes, call stat sig, and write the readouts. When a result is noisy or a test is underpowered, you'll say so — even when the PM is ready to ship.

Strategic partnership. You'll work directly with our leaders on the questions that don't have obvious answers. What are players actually doing in Game Guide? Which customizations predict long-term retention? Why does Wand Pro convert better in some game categories than others? You'll frame the question, run the analysis, and deliver the recommendation.

What you'll be measured on

The decisions you unblocked. The metrics you improved. The bad ideas you killed before they shipped. The questions you answered before anyone thought to ask them.

Minimum qualifications

  • 5 years in a Data Analyst, Product Analyst, or Business Intelligence role (excluding internships)

  • SQL fluency — complex joins, incremental computation, window functions, query optimization; comfortable with large, messy datasets

  • Python for analysis — pandas and statistical libraries; you don't freeze when the answer requires code

  • Experimentation chops — hypothesis testing, sample sizing, and the judgment to tell a p-value from an insight

  • A track record of moving metrics you cared about (we'll ask you to walk us through one)

  • Direct communication — you can tell a leader an uncomfortable answer without burying it in caveats

Preferred qualifications

  • Degree in a quantitative field

  • Hex, dbt, and Bigquery experience

  • Prior growth-stage consumer software or gaming experience

  • Causal inference methods (diff-in-diff, regression discontinuity, propensity matching)

  • Prior work on LTV, retention, or subscription models

  • Experience building metrics frameworks or KPI hierarchies from scratch

How we work

Fully remote, with a few hours of daily overlap across US time zones. We ship fast, write things down, and don't run meetings that could have been a Loom. We play games. You probably should, too.
We are unable to sponsor, transfer, or take over sponsorship of work visas, now or in the future.

Join us in building the future of PC gaming.

Wand is an equal opportunity employer. We build tools for every kind of player, and we hire the same way.

Compensation Range: $145K - $175K