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Remote Analytics Manager Jobs in Toronto, ON (NOW HIRING)

Optimize Financial Group

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Client-Facing Portfolio Manager (Remote)

Toronto, ON · Remote

... client trust, analytical rigor, and a strong commitment to long-term client relationships. The ... Management and Financial Advisory Team. This is a remote position, with working hours aligned to ...

Generac

Staff Analytics Engineer

Toronto, ON · On-site +1

... and remote ecopeeps in the US. We get to work with some of North America and UK's leading ... Drive schema change management (versioning, backward compatibility, stakeholder communication)

YO AI Labs

Family Law Attorney - Remote

Toronto, ON · Remote

$150 - $400/hr

Case Analysis * Document Review * Legal Summarization * Critical Thinking * Attention to Detail * Written & Verbal Communication * Collaboration * Remote Work Skills * Digital Project Management ...

1Valet

Systems Analyst - Technical Support

Toronto, ON · Remote

... analytics) ○ Access Control platforms (credentialing, door controllers, secure entry) ○ ... Provide remote support via tools such as Remote Desktop Management (RDM) and VPN to troubleshoot ...

1Valet

Systems Analyst - Technical Support

Toronto, ON · Remote

CCTV systems (IP/network-based, NVR configurations, video analytics) Access Control platforms ... Provide remote support via tools such as Remote Desktop Management (RDM) and VPN to troubleshoot ...

Feeld

MarTech Manager

Toronto, ON · Remote

... part of our remote team and our mission to elevate the human experience of sexuality and ... Strong analytical and problem-solving skills, with a highly data-driven approach to decision-making ...

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Remote Analytics Manager information

What does a remote analytics manager do?

A Remote Analytics Manager oversees data analysis projects and teams from a remote location, using digital tools to collect, interpret, and present data insights that drive business decisions. They collaborate with stakeholders to identify key metrics, develop analytical strategies, and ensure data accuracy. Additionally, they manage analytics platforms, mentor analysts, and provide actionable recommendations to improve company performance. This role requires strong communication, technical expertise, and the ability to work independently in a virtual environment.

What are the key skills and qualifications needed to thrive as a remote analytics manager?

To thrive as a Remote Analytics Manager, you need a strong background in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and relevant analytics experience. Proficiency with tools such as SQL, Python or R, data visualization platforms like Tableau or Power BI, and experience with cloud-based analytics systems is essential. Excellent communication, leadership, and problem-solving skills help you collaborate effectively with remote teams and translate data insights to stakeholders. These skills and qualities are crucial for driving informed decision-making and ensuring successful outcomes in a distributed work environment.

How does a remote analytics manager effectively collaborate with cross-functional teams despite working remotely?

As a Remote Analytics Manager, you’ll frequently work with marketing, product, and engineering teams to drive data-informed decisions. Effective collaboration typically involves regular video meetings, clear documentation, and the use of shared dashboards or collaboration tools to ensure all stakeholders are aligned. Building strong communication habits and proactively sharing insights are essential for maintaining influence and visibility within the organization, even when working from different locations. Many companies also encourage participation in virtual team-building activities to foster relationships and improve teamwork.

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Infographic showing various Remote Analytics Manager job openings in Toronto, ON as of September 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 100% Remote job distribution.

Senior Data Scientist - Operation Research

Toronto, ON • Remote

Tiger Analytics Inc.
Business Management Consulting • 201 - 500 employees
Learn more about Tiger Analytics Inc.external

Full-time

Re-posted 19 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve Pricing techniques.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.