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Remote Insurance Data Analytics Jobs in Vancouver, BC

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

VANCOUVER, BC (OR REMOTE IN CANADA) / FULL TIME Variational AI is radically accelerating the ... Strong programming skills in Python and experience with cheminformatics libraries and data analysis ...

Salary: $110-$190K CAD VANCOUVER, BC (OR REMOTE IN CANADA) / FULL TIME Variational AI is radically ... Strong programming skills in Python and experience with cheminformatics libraries and data analysis ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

Competence in GIS, remote sensing tools, and familiarity with databases. Exposure to data analysis software (e.g., Python, R) is a plus. 3D geological modeling platforms such as LeapFrog or ...

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Remote Insurance Data Analytics information

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

How do remote insurance data analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What are the key skills and qualifications needed to thrive as a remote insurance data analytics professional?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.
What are the most commonly searched types of Insurance Data Analytics jobs in Vancouver, BC? The most popular types of Insurance Data Analytics jobs in Vancouver, BC are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Vancouver, BC? For Remote Insurance Data Analytics jobs in Vancouver, BC, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Vancouver, BC look for? The top searched job categories for Remote Insurance Data Analytics jobs in Vancouver, BC are:
Infographic showing various Remote Insurance Data Analytics job openings in Vancouver, BC as of August 2026, with employment types broken down into 4% Internship, 65% Full Time, 16% Part Time, and 15% Contract. Highlights an 100% Remote job distribution.

Senior Data Analyst, Product Analytics

Autodesk

Vancouver, BC • On-site, Remote

Full-time

Re-posted 4 days ago


Autodesk rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

26th of 242 rated software companies


Job description

Job Requisition ID #

26WD99763

Position Overview

Data is central to how we understand customer behavior, measure product success, and build better experiences for our customers. Autodesk is seeking a Senior Data Analyst - Product Analytics to join the Product Development & Manufacturing Solutions organization. In this role, you'll partner closely with Product Managers, Engineering, Design, Finance, Sales, and Marketing to transform product data into actionable insights that influence product strategy and business outcomes.

As a trusted analytics partner, you will help answer critical questions about feature adoption, customer engagement, retention, and product health. You'll define meaningful success metrics, develop scalable measurement frameworks, and uncover opportunities to improve the customer experience through data.

We're looking for someone who thrives in ambiguity, is naturally curious, and enjoys asking difficult questions that lead to better decisions. You combine strong analytical thinking with business acumen and exceptional communication skills to translate complex analyses into compelling stories that drive action.

At Autodesk, we value a hybrid work culture. Remote work is supported in Toronto and Vancouver, Canada. If you live near one of our offices, you're welcome to work there full- or part-time based on your preference.

Responsibilities

  • Partner with Product Managers and Engineering teams throughout the product lifecycle to define success metrics and measurement strategies before features launch

  • Analyze product telemetry, clickstream, and user behavior data to identify opportunities that improve customer engagement, adoption, and retention

  • Design, maintain, and evolve scalable product KPIs and data models that provide consistent measurement across products

  • Build self-service dashboards, reports, and visualizations that enable teams to independently explore product performance while maintaining trusted business definitions

  • Conduct deep-dive analyses to understand product usage, customer journeys, and feature performance, translating findings into actionable recommendations

  • Develop hypotheses, evaluate product changes, and support experimentation and A/B testing where applicable

  • Partner with Data Engineering to improve event instrumentation, data quality, and analytics infrastructure

  • Communicate analytical findings to executive and cross-functional audiences through clear storytelling and data visualization

  • Improve analytics documentation, metric definitions, and best practices to promote consistency and scalability across teams

Minimum Qualifications

  • 5+ years of experience in Product Analytics, Data Analytics, or Business Analytics, including experience influencing product or business decisions through data

  • Demonstrated experience presenting analytical findings and recommendations to senior leadership and executive audiences

  • Expertise in SQL and working with modern cloud data warehouse environments

  • Advanced experience building dashboards and visualizations using Power BI (required); experience with Tableau or Looker is a plus

  • Experience analyzing event-based product telemetry, clickstream, or user behavior datasets

  • Strong understanding of analytical methods, hypothesis-driven problem solving, and translating ambiguous business questions into measurable analyses

  • Experience working with modern analytics engineering and data pipeline technologies (DBT, Airflow, GitHub, or similar)

  • Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, Economics, Engineering, or equivalent practical experience)

Preferred Qualifications

  • Experience with experimentation frameworks, A/B testing, or product measurement methodologies

  • Experience using Python (pandas, Jupyter, NumPy, or similar) for exploratory analysis and automation

  • Familiarity with product analytics platforms such as Amplitude, Mixpanel, Pendo, or similar tools

  • Experience integrating product analytics with Sales and Marketing data sources (Salesforce, Marketo, etc.)

  • Experience working within SaaS or cloud software organizations

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $107,000 and $156,200. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging


In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).


What Autodesk employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


Autodesk logo

About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982