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Remote Excel Data Analyst Jobs in Toronto, ON (NOW HIRING)

Enterprise Data Science Specialist

Toronto, ON ยท Remote

CA$60 - CA$70/hr

Data Science and Analytics Experts Type: Contract Compensation: $60-$70/hour Location: Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale predictive modeling ...

Pension Analyst

Toronto, ON ยท On-site +1

CA$39K - CA$74K/yr

Work with pension databases to ensure data accuracy * Attend internal training sessions to stay ... Strong analytical and mathematical skills * A strong client service focus with exceptional ...

Strategy Manager

Toronto, ON ยท Remote

CA$4.2K - CA$5.0K/wk

Lead on-site and remote client strategy and status meetings * Manage a team of Senior Analysts and ... Strong analytical skills; must be comfortable with MS Excel, data analysis, and internet ...

Pension Analyst

Toronto, ON ยท On-site +1

CA$39K - CA$74K/yr

Work with pension databases to ensure data accuracy * Attend internal training sessions to stay ... Strong analytical and mathematical skills * A strong client service focus with exceptional ...

Data Analysis Expert - Evaluator

Toronto, ON ยท Remote

CA$80 - CA$120/hr

Position: Data analysis / quantitative readouts Evaluator Type: Contract Compensation: $80-$120 ... Remote Role Responsibilities * Evaluate AI-generated artifacts against domain-specific quality ...

Data Scientist - AI Evaluation

Toronto, ON ยท Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables. This includes exploratory data analyses , statistical modeling work , machine learning ...

... data analysis (e.g., 16S, shotgun metagenomics) is highly desirable * Excellent communication skills, both written and verbal * Self-motivated, organized, and able to work independently in a remote ...

Showing results 21-40

Remote Excel Data Analyst information

What does a remote Excel data analyst do?

A Remote Excel Data Analyst is responsible for collecting, organizing, and analyzing data using Microsoft Excel while working from a remote location. They use advanced Excel functions and tools to create reports, visualize data, and provide insights that help businesses make informed decisions. Tasks may include cleaning and validating data, building dashboards, automating processes with formulas or macros, and collaborating with teams online. Strong attention to detail and proficiency in Excel are essential for this role.

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

To excel as a Remote Excel Data Analyst, you need strong analytical skills, advanced proficiency in Microsoft Excel, and a solid understanding of data management principles, often supported by a degree in a related field. Familiarity with Excel functions, PivotTables, VBA scripting, and data visualization tools like Power BI or Tableau is typically required. Attention to detail, problem-solving ability, and effective communication are essential soft skills for interpreting data and collaborating with remote teams. These skills ensure accurate data analysis, clear reporting, and impactful business insights in a virtual environment.

How does a remote Excel data analyst typically collaborate with team members while working offsite?

As a Remote Excel Data Analyst, collaboration is often managed through digital communication tools such as Slack, Microsoft Teams, and email. Analysts frequently share spreadsheets, conduct screen-sharing sessions, and participate in virtual meetings to discuss findings or review data together. Clear documentation and version control of Excel files are crucial to ensure everyone is aligned. Regular check-ins and updates help maintain transparency and foster teamwork, despite the physical distance.

What is the difference between Remote Excel Data Analyst vs Remote Data Analyst?

AspectRemote Excel Data AnalystRemote Data Analyst
Required SkillsExcel, data analysis, basic SQLExcel, SQL, data visualization, statistical tools
CertificationsExcel certifications, data analysis coursesData analysis certifications, SQL certifications
Work EnvironmentRemote, primarily working with Excel filesRemote, using various data tools and platforms
Industry UsageFinance, marketing, operationsFinance, healthcare, tech, marketing

The Remote Excel Data Analyst primarily focuses on analyzing data using Excel and related tools, often in industries like finance and marketing. In contrast, the Remote Data Analyst typically works with a broader set of data tools, including SQL and visualization software, across diverse industries. Both roles are remote and require strong analytical skills, but the Remote Data Analyst usually demands a wider technical skill set.

What are the most commonly searched types of Excel Data Analyst jobs in Toronto, ON?

The most popular types of Excel Data Analyst jobs in Toronto, ON are:

What are popular job titles related to Remote Excel Data Analyst jobs in Toronto, ON?

For Remote Excel Data Analyst jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Excel Data Analyst jobs in Toronto, ON look for?

The top searched job categories for Remote Excel Data Analyst jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Remote Excel Data Analyst jobs?

Cities near Toronto, ON with the most Remote Excel Data Analyst job openings:

Infographic showing various Remote Excel Data Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Toronto, ON โ€ข Remote

Full-time

Re-posted 9 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.