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Remote Data Analytics Contract Jobs in Toronto, ON

Mercor

Enterprise Data Science Specialist

Toronto, ON · 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 ...

StarTech.com

Data Analyst

Toronto, ON · 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 ...

MarketBridge

Director, Marketing Analytics

Toronto, ON · Remote

This is a remote role, required to work in EST hours. Job Title: Director, Marketing Analytics ... The Director will help clients and internal teams establish the data and measurement foundations ...

Mercor

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Contract Compensation: $100-$150/hour Location: Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables. This includes exploratory data analyses ...

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Infographic showing various Remote Data Analytics Contract job openings in Toronto, ON as of August 2026, with employment types broken down into 72% Full Time, 14% Temporary, and 14% Contract. Highlights an 100% Remote job distribution.

Insurance Data Specialist - Analytics

Mercor

Toronto, ON • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Insurance Data & Operations Specialist
Type: Contract
Compensation: $800/hour
Location: Remote
Commitment: 20–40 hours/week

Role Responsibilities

  • Design realistic scenarios involving policy, premium, exposure, claim, provider, member, producer, and operational data.
  • Create work products such as metric definitions, data-quality assessments, workflow analyses, dashboard requirements, operational reports, root-cause analyses, and process-improvement recommendations.
  • Write "golden" reference responses at experienced insurance data and operations quality.
  • Grade AI-generated responses against structured rubrics for data interpretation, metric consistency, process understanding, feasibility, and communication.
  • Identify incorrect denominators, misleading aggregations, inconsistent definitions, data-lineage gaps, workflow bottlenecks, and conclusions not supported by the available evidence.
  • Provide written feedback the research team uses to improve model behavior.

Qualifications

Must-Have

  • 2+ years of professional experience in insurance data, business analysis, reporting, operations analysis, quality assurance, or process improvement.
  • Understand at least one insurance operating domain, such as underwriting, policy administration, claims, distribution, health-plan operations, reinsurance, or compliance.
  • Translated business questions into metrics, reporting requirements, data definitions, workflow changes, or operational controls.
  • Analyze a process without substituting for the underwriter, adjuster, clinician, actuary, or compliance specialist responsible for the substantive decision.
  • Excellent analytical writing, structured problem-solving, and high attention to detail.
  • Proficient with spreadsheets and at least one reporting, database, analytics, or workflow tool.

Preferred

  • Experience with SQL, Python, R, Tableau, Power BI, Looker, or insurance data platforms.
  • Lean, Six Sigma, project-management, business-analysis, or data-governance credential.
  • Experience with policy, billing, claims, CRM, provider, or member-administration systems.
  • Data governance, model governance, audit, or operational quality experience.
  • Experience developing KPIs, service-level metrics, or executive reporting.

Start Date

  • Immediately; applications reviewed on a rolling basis.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.