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Remote Economic Data Analyst Jobs in Ontario (NOW HIRING)

London, ON | Hybrid/Remote | StarTech.com StarTech.com is continuing to grow our Data Analytics team and we are looking for a Data Analyst who is passionate about turning data into actionable ...

Data Analyst

Toronto, ON ยท On-site +1

London, ON | Hybrid/Remote | StarTech.com StarTech.com is continuing to grow our Data Analytics team and we are looking for a Data Analyst who is passionate about turning data into actionable ...

Our corporate headquarters is located in Farmington, Missouri, but this position will be eligible for remote work flexibility. As a Data Analyst at US Tool, you will get to work on exciting projects ...

This role provides the analytical foundation needed to guide adoption, monetization, GPU economics ... We are open to candidates in Canada, either hybrid or remote. Responsibilities * Build analytical ...

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 ...

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Remote Economic Data Analyst information

What does a remote economic data analyst do?

A Remote Economic Data Analyst is responsible for gathering, processing, and interpreting economic data to identify trends and support decision-making for organizations. They work from a remote location, using statistical software and data visualization tools to analyze economic indicators such as inflation, employment, and GDP. Their insights are often used in economic forecasting, policy analysis, and business strategy. Remote Economic Data Analysts collaborate with teams virtually and communicate their findings through reports and presentations.

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

To thrive as a Remote Economic Data Analyst, you need strong quantitative analysis skills, proficiency in economic theory, and usually a degree in economics, statistics, or a related field. Familiarity with data analysis tools such as Excel, R, Python, and visualization platforms, along with experience using databases and data management systems, is essential. Attention to detail, problem-solving ability, and clear written communication are standout soft skills for this role. These skills enable accurate data interpretation, insightful reporting, and effective collaboration in a remote environment, driving informed business or policy decisions.

How do remote economic data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Economic Data Analysts often collaborate through digital platforms such as video conferencing, shared documents, and project management tools. Regular virtual meetings are held to discuss findings, align on project goals, and address data challenges. Analysts also communicate frequently with economists, data engineers, and business leaders to ensure that analyses meet organizational needs. Strong written and verbal communication skills are essential for conveying complex economic insights effectively in a remote setting.

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

AspectRemote Economic Data AnalystRemote Data Analyst
Required CredentialsBachelor's in Economics, Statistics, or related field; often some experience in economic modelingBachelor's in Data Science, Statistics, or related; may require programming skills
Work EnvironmentPrimarily research-focused, analyzing economic trends and reportsData collection, cleaning, and analysis across various industries
Employer & Industry UsageGovernment agencies, economic research firms, financial institutionsTech companies, consulting firms, healthcare, retail

Remote Economic Data Analysts focus on economic trends and policy impacts, often requiring economic credentials. Remote Data Analysts handle broader data tasks across industries, with a wider range of technical skills. Both roles are remote-friendly but serve different primary functions within their fields.

What are popular job titles related to Remote Economic Data Analyst jobs in Ontario?

For Remote Economic Data Analyst jobs in Ontario, the most frequently searched job titles are:

What cities in Ontario are hiring for Remote Economic Data Analyst jobs?

Cities in Ontario with the most Remote Economic Data Analyst job openings:

Infographic showing various Remote Economic Data Analyst job openings in Ontario as of August 2026, with employment types broken down into 60% Full Time, 20% Temporary, and 20% Contract. Highlights an 100% Remote job distribution.

Account Executive / Business Development Manager Research Subscriptions & Economic Intelligence

Toronto, ON โ€ข Remote

CA$110K - CA$130K/yr

Full-time

Medical, Life, PTO

Re-posted 20 days ago


Job description

As an Account Executive/Business Development Manager, you will sell research subscriptions, economic data platforms, and executive council memberships to HR leaders, VPs, Directors, and C-suite executives at mid-to-large Canadian private-sector organizations. This is a 100% new business development role — you will own the full sales cycle from prospecting to close. Approximately 75–80% of your pipeline must be self-generated through cold outreach; 20–25% of warm leads will be supplied. This is a newly created position reporting to the Director of Sales. The base salary is $70,000 – $78,500 CAD, plus uncapped commissions.

COMPENSATION & BENEFITS
•       $70,000 – $78,500 CAD base salary, plus commissions
•       Year 1 OTE: $100,000 – $120,000 (at quota)
•       Year 2 OTE: $110,000 – $130,000
•       Uncapped quarterly commission — 10% on every sale
•       Annual personal performance bonus
•       Sun Life health benefits — 100% company paid — effective day one
•       RRSP matching program
•       20 vacation days per year
•       Laptop provided
•       100% remote — no office required
•       Sign off at 1:00 PM every Friday (results-based schedule)
•       Career advancement potential within 2 years
THE COMPANY & CULTURE

Our client was founded approximately 60 years ago and is a nationally recognized, non-profit, non-partisan research organization with 173 employees. Headquartered in Ottawa, Ontario, they operate as a fully virtual, remote-first organization. Their primary offerings include economic data subscriptions (inFact), eData platforms, executive council memberships, and custom research — all grounded in proprietary Canadian-focused data models. These products are used by organizations to inform compensation planning, workforce strategy, and executive decision-making. Top clients include major national retailers, financial institutions, professional services firms, and construction and manufacturing organizations. The company is actively expanding its outbound private-sector sales team for the first time, representing a strategic growth opportunity for the right candidate.

The culture is performance-driven and people-first. Leadership promotes autonomy with accountability, and the organization is structured to keep decision-making flat and collaborative. Employees consistently cite meaningful work, flexibility, half-day Fridays, and a fully remote environment as top reasons to stay.

OFFICE LOCATION & SALES TERRITORY
•       Head Office: Ottawa, Ontario (no requirement to attend)
•       Work arrangement: 100% remote — fully virtual organization
•       Sales territory: Canada-wide. Primary concentration in the GTA and Ontario. Provincial government is a secondary expansion target; federal government is not in scope.
•       Overnight travel: None required
•       Hours: Monday to Friday, 37.5 hours per week. No evening or weekend requirements.
EXPERIENCE, BACKGROUND & EDUCATION REQUIREMENTS
•       3–6 years of full-cycle B2B sales experience — this range is firm
•       Minimum 2–3 years selling intangible solutions: SaaS, data/analytics, research subscriptions, consulting, advisory, or HR tech — required; candidates without this background will not be considered
•       Proven outbound hunter: must demonstrate ability to self-generate pipeline from scratch, build prospect lists independently, and execute cold outreach without a lead source
•       Experience selling to HR leaders, VPs, Directors, or C-suite executives preferred — buyers who use data and research as a strategic input
•       Consultative selling background required — education-led, needs-based, outcomes-focused approach; Sandler or Gap Selling experience a strong asset
•       CRM proficiency required — Microsoft Dynamics preferred; Salesforce or HubSpot acceptable
•       Post-secondary degree in Business, Economics, HR, Social Sciences, or a related field preferred — not a hard requirement
•       Comfortable conducting virtual demos and presentations
•       LinkedIn Sales Navigator experience an asset
TECHNICAL SKILLS
•       Microsoft Dynamics CRM — proficiency required
•       Salesforce or HubSpot — acceptable equivalent
•       LinkedIn Sales Navigator — asset
•       Microsoft Office (Word, Excel, PowerPoint) — standard proficiency
THE PRODUCT / SERVICE / SOLUTION
•       inFact economic data subscriptions — proprietary Canadian-focused data models used by organizations for compensation planning and workforce strategy
•       eData platforms — digital research and analytics platforms
•       Executive council memberships — peer-network and intelligence-sharing memberships for senior leaders
•       Custom research — bespoke research projects addressing specific strategic or policy challenges
PROSPECTIVE CUSTOMERS / INDUSTRY FOCUS / DECISION MAKER(S)
•       Primary buyer: HR leaders — Heads of HR, VPs of HR, Directors of HR — within private-sector enterprise and large organizations
•       Company size: Large (100–999 employees) and enterprise (1,000+)
•       Geographic focus: GTA and Ontario primary; Canada-wide secondary
•       Industry verticals: manufacturing, finance, construction, retail, energy and utilities; non-profit and education are secondary
•       Secondary expansion target: provincial government
SALES CYCLE / ORDER VALUE / ACCOUNT SIZE
•       Average deal size: $15,000 – $30,000
•       Average sales cycle: 1–6 months; approximately 3 calls to close on average
•       Year 1 quota: $230,000
•       Year 2 quota: $260,000
COMPETITIVE ADVANTAGES
•       60+ years of brand trust — non-partisan, nationally recognized, cited by major businesses and national media
•       Proprietary Canadian economic data — no direct domestic competitor offers the same depth of Canadian-focused intelligence
•       Non-biased research status — the primary purchase driver for organizations that need credible data to validate strategic decisions
•     &nb