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Remote Data Analytics Instructor Jobs in Toronto, ON

Product Data Analyst

Toronto, ON ยท 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 ...

Details on your work arrangement (proportion of on-site and remote work) will be discussed at the ... You demonstrate strong analytical and technical skills. You have experience with programming ...

Details on your work arrangement (proportion of on-site and remote work) will be discussed at the ... You demonstrate strong analytical and technical skills. You have experience with programming ...

25-199 - Data Engineer

Oshawa, ON ยท Remote

$92 - $100/hr

CHQ (Hybrid - 3 days remote), 1908 Colonel Sam Drive, Oshawa Job Overview As an Azure and ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

The role applies strong BI, analytics, and data engineering capabilities to transform complex data ... A hybrid work environment that combines weekly in-office and remote days * A great compensation ...

... 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 ...

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 ...

Senior Manager - Data Engineering

Toronto, ON ยท On-site +1

CA$120K - CA$160K/yr

About this role The Canadian Data & Analytics function is at an inflection point. As Skip invests ... Winnipeg/Toronto Remote Reporting to: Associate Director of Data & Insights These are some of the ...

... 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 ...

25-053 Data Architect

Pickering, ON ยท On-site +1

$85 - $100/hr

... remote) Job Overview JOB FUNCTION As a Data Architect you will be responsible for leading the Azure ... data analysts and solution architects to develop data pipelines to feed our data marketplace ...

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Remote Data Analytics Instructor information

What is the difference between Remote Data Analytics Instructor vs Remote Data Analyst?

AspectRemote Data Analytics InstructorRemote Data Analyst
Required CredentialsTypically a degree in data science, analytics, or related field; teaching certifications are a plusDegree in data science, statistics, or related field; often requires proficiency in analytics tools
Work EnvironmentOnline teaching platforms, educational institutions, corporate trainingRemote offices, companies, or consulting firms
Employer & Industry UsageEducational institutions, online course providers, corporate training programsBusinesses across industries, consulting firms, finance, healthcare, tech

While both roles involve data skills, a Remote Data Analytics Instructor focuses on teaching and curriculum development in educational settings, whereas a Remote Data Analyst applies data analysis techniques directly to business problems. The roles share similar credentials but differ mainly in their primary responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a Remote Data Analytics Instructor, and why are they important?

To thrive as a Remote Data Analytics Instructor, you need a strong background in data analytics, statistics, and teaching, usually demonstrated by a relevant degree and industry experience. Familiarity with data analysis tools such as Excel, SQL, Python, R, and learning management systems (LMS) is essential, along with certifications like Tableau or Google Data Analytics. Excellent communication, patience, and the ability to engage and motivate remote learners are valuable soft skills in this role. These skills ensure effective instruction, student engagement, and successful learning outcomes in a virtual environment.

What are some common challenges faced by Remote Data Analytics Instructors, and how can they be effectively managed?

Remote Data Analytics Instructors often encounter challenges such as maintaining student engagement in a virtual setting, addressing diverse learning paces, and ensuring clear communication despite not being physically present. To manage these, instructors can leverage interactive teaching tools, schedule regular check-ins, and provide a variety of learning resources to accommodate different student needs. Building a supportive online community and encouraging active participation also help foster a collaborative and effective learning environment.

What does a Remote Data Analytics Instructor do?

A Remote Data Analytics Instructor teaches students data analysis concepts and tools through online platforms. They develop and deliver course materials, lead live or recorded lessons, and provide feedback on assignments. Instructors often cover topics like data visualization, statistical analysis, and using software such as Excel, Python, or SQL. Their goal is to help students gain practical skills for analyzing and interpreting data in real-world scenarios.
What are popular job titles related to Remote Data Analytics Instructor jobs in Toronto, ON? For Remote Data Analytics Instructor jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Data Analytics Instructor jobs in Toronto, ON look for? The top searched job categories for Remote Data Analytics Instructor jobs in Toronto, ON are:
Product Data Analyst

Product Data Analyst

Wand

Toronto, ON โ€ข Remote

$145K - $175K/yr

Full-time

Re-posted 5 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 โ€” 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 โ€” 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 โ€” through cohorts, segments, the quirks of specific games โ€” 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 โ€” 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 โ€” complex joins, incremental computation, window functions, query optimization; comfortable with large, messy datasets

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

  • Experimentation chops โ€” 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 โ€” 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.

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