Sr Staff Quantitative User Researcher

📍 Job Overview

Job Title: Sr Staff Quantitative User Researcher

Company: Jobgether (on behalf of a partner company)

Location: Canada

Job Type: Full-time

Category: User Research / Data Science / Product Analytics

Date Posted: May 19, 2026

Experience Level: Senior Staff / 8+ Years

Remote Status: Remote Eligible (within Canada)

🚀 Role Summary

• Lead high-impact, data-driven quantitative user research initiatives to directly shape digital products used by millions.

• Drive strategic decision-making by translating complex data into actionable recommendations for product, design, engineering, and marketing.

• Embed quantitative insights throughout the entire product lifecycle, from opportunity discovery and prioritization to concept testing and post-launch evaluation.

• Synthesize diverse data sources, including surveys, behavioral analytics, and market research, to build compelling, evidence-based narratives.

• Champion user-centered practices and advocate for user needs to influence stakeholders at all levels of the organization.

• Mentor and guide junior researchers, advancing quantitative research methodologies and amplifying the impact of user insights across teams.

📝 Enhancement Note: While the role is posted by Jobgether, the actual hiring is by a partner company. The emphasis on "Senior Staff" and the extensive experience requirement (8+ years) suggest a leadership position with significant autonomy and influence over research strategy and execution. The mention of "millions of users" implies the company operates at a substantial scale, requiring robust and scalable research practices.

📈 Primary Responsibilities

• Design, execute, and deliver end-to-end quantitative research studies, from scoping business challenges and defining research objectives to developing survey instruments, analyzing data, and presenting findings.

• Develop and implement advanced survey methodologies, including segmentation, statistical modeling, and experimental design, to address complex product and business questions.

• Integrate quantitative findings with qualitative data and behavioral analytics to provide a holistic understanding of user behavior and product performance.

• Collaborate closely with cross-functional teams (Product Managers, Designers, Engineers, Data Scientists, Marketing) to identify research needs, align on priorities, and ensure research insights are actionable and integrated into product roadmaps.

• Create clear, compelling, and data-driven narratives using advanced data visualization techniques to communicate complex findings and recommendations to diverse audiences, including executive leadership.

• Proactively identify opportunities for research that can drive significant business impact, user satisfaction, and product innovation.

• Mentor and coach other researchers on quantitative methods, best practices, and effective communication strategies, contributing to the overall growth and maturity of the research function.

• Stay abreast of the latest quantitative research methodologies, tools, and industry trends, and champion their adoption where appropriate.

📝 Enhancement Note: The responsibilities highlight a strategic, leadership-oriented role. The emphasis on "end-to-end" research and "influencing stakeholders at all levels" points to a need for strong project management, strategic thinking, and executive communication skills, in addition to deep quantitative expertise. The mentorship aspect indicates an expectation for contribution to team development.

🎓 Skills & Qualifications

Education:

Experience:

• 8+ years of progressive experience in user research, product research, applied research, or a closely related field, with a demonstrable specialization in quantitative methodologies.

• Proven track record of leading and successfully delivering complex, high-impact quantitative research projects in fast-paced environments.

Required Skills:

• Expert-level proficiency in survey design and execution across all stages of the product lifecycle (e.g., opportunity discovery, feature prioritization, concept testing, usability testing, post-launch evaluation, segmentation studies).

• Deep knowledge of empirical survey methods, including best practices in sampling strategies, survey weighting, questionnaire design, response bias mitigation, and advanced statistical analysis techniques.

• Advanced proficiency in statistical analysis using R for data manipulation, modeling, and visualization.

• Strong experience with SQL for data extraction and integration from various data sources, particularly behavioral analytics platforms.

• Ability to translate complex quantitative data into clear, concise, and compelling narratives supported by effective data visualizations.

• Excellent cross-functional collaboration and communication skills, with a demonstrated ability to influence product, design, engineering, and marketing teams.

• Experience in mentoring or guiding junior researchers on quantitative methods and project execution.

Preferred Skills:

• Experience with a variety of quantitative research techniques beyond surveys, such as experimental design, A/B testing analysis, causal inference, or econometrics.

• Familiarity with behavioral analytics tools (e.g., Amplitude, Mixpanel, Google Analytics) and the ability to integrate these data sources with survey data.

• Experience with advanced statistical modeling techniques (e.g., regression analysis, factor analysis, cluster analysis, conjoint analysis).

• Knowledge of qualitative research methodologies and experience integrating mixed-methods research designs.

• Experience working in a large-scale digital product environment.

📝 Enhancement Note: The requirement for R and SQL proficiency suggests the company relies heavily on data integration and rigorous statistical analysis, moving beyond basic survey reporting. The "Senior Staff" title implies a need for strategic thinking, leadership, and the ability to mentor, even if formal management is not part of the role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing a range of quantitative user research projects, with a strong emphasis on impact and actionable outcomes.

• Detailed case studies demonstrating your end-to-end ownership of quantitative research initiatives, from problem definition and methodology selection to data analysis and strategic recommendations.

• Examples of how your research directly influenced product strategy, design decisions, or business outcomes, ideally quantified with metrics (e.g., improved conversion rates, increased user engagement, reduced churn).

• Evidence of your ability to synthesize complex data from multiple sources (surveys, behavioral data, etc.) into clear, actionable insights and compelling narratives.

Process Documentation:

• Case studies that clearly outline the research process followed, including:

  • Problem definition and research question formulation.
  • Methodology selection and justification (e.g., survey type, sampling strategy, analysis plan).
  • Data collection and management procedures.
  • Rigorous statistical analysis and interpretation of results.
  • Communication of findings and recommendations to stakeholders.
  • Impact assessment and follow-up actions.

• Examples of how you have documented research processes to ensure reproducibility, scalability, and knowledge sharing within a team.

📝 Enhancement Note: For a Senior Staff role, the portfolio must go beyond simply presenting completed projects. It should showcase strategic thinking, methodological expertise, impact, and leadership potential. Candidates should be prepared to discuss their process, the rationale behind their methodological choices, and how they drove change through their research.

💵 Compensation & Benefits

Salary Range:

• Tier 1 Canada: $142,000 – $189,000 CAD per year

• Tier 2 Canada: $128,000 – $171,000 CAD per year

📝 Enhancement Note: The provided salary ranges are specific to Canada and indicate a tiered compensation structure, potentially based on location within Canada (e.g., major urban centers vs. other regions). The upper end of the range aligns with senior-level roles in tech/research within Canada. The "Tier 1" and "Tier 2" designation suggests the company may have specific cost-of-living adjustments for different Canadian cities.

Benefits:

• Generous performance-based bonus plans, rewarding high achievement.

• Comprehensive medical, dental, and vision coverage for employees and their dependents.

• Immediate vesting on retirement contributions, providing immediate benefit and security.

• Paid wellness days, dedicated birthdays off, and country-specific holidays for work-life balance.

• One-time home office stipend to equip a productive remote workspace.

• Annual professional development budget to support continuous learning and skill enhancement.

• Quarterly well-being stipend to promote employee health and mental wellness.

• Substantial parental leave benefits, supporting new parents.

• Employee referral bonuses, encouraging team growth.

Working Hours:

• Standard full-time working hours, typically around 40 hours per week. The remote nature of the role within Canada may offer some flexibility in scheduling, though coordination with cross-functional teams will be essential.

📝 Enhancement Note: The benefits package is robust, reflecting a commitment to employee well-being, professional growth, and financial security, which is competitive for senior roles in the Canadian tech sector. The home office and professional development stipends are particularly valuable for remote positions.

🎯 Team & Company Context

🏢 Company Culture

Industry: The specific industry of the partner company is not disclosed, but the role of a Sr Staff Quantitative User Researcher suggests a company heavily invested in digital products, user experience, and data-driven decision-making. This could span various sectors like SaaS, e-commerce, tech platforms, or consumer applications where user engagement and satisfaction are critical drivers of success.

Company Size: While not explicitly stated, the need for a "Senior Staff" researcher and the scale implied by "millions of users" suggests a medium to large organization, likely a well-established tech company or a rapidly scaling startup with significant funding.

Founded: The founding date is not provided. However, the existence of a structured "Jobgether" application process and the offer of comprehensive benefits indicate a professional and organized hiring entity.

Team Structure:

• The Quantitative User Researcher will likely be part of a larger Product or User Experience (UX) team. This team may include other researchers (qualitative and quantitative), UX designers, product managers, and potentially data scientists.

• The role reports into a research lead or a director of UX/Product. The "Senior Staff" designation implies a high level of individual contribution and potential for informal leadership or mentorship within the research discipline.

Methodology:

• Data-driven decision-making is paramount, with a strong emphasis on evidence-based insights derived from rigorous quantitative research.

• Workflow planning and optimization will involve integrating research findings into iterative product development cycles, ensuring user needs are prioritized.

• Automation and efficiency practices are likely valued, especially in managing large datasets and scaling research efforts across a broad user base.

Company Website: https://jobgether.com/how-jobgether-works (Jobgether's website; the partner company's website is not provided)

📝 Enhancement Note: The context suggests a company that values research as a strategic function, not just a support role. The "Senior Staff" level indicates a need for someone who can operate independently, tackle complex problems, and contribute to the strategic direction of product development through user insights.

📈 Career & Growth Analysis

Operations Career Level: This role represents a senior individual contributor (IC) track within the User Research or Product Analytics domain. As a "Senior Staff" member, the expectation is for deep expertise, strategic influence, and the ability to tackle ambiguous, high-complexity problems independently. This level often involves mentoring junior colleagues and contributing to the strategic direction of the research practice.

Reporting Structure: The role likely reports to a Research Manager, Director of UX, or Head of Product. While not a formal management role, the "Staff" designation implies leadership in driving research initiatives, influencing product strategy, and potentially mentoring other researchers within the department.

Operations Impact: The impact of this role is significant, directly influencing product strategy, design decisions, and ultimately, user experience and business outcomes for a product used by millions. By providing robust quantitative insights, the researcher helps the company understand user needs, identify opportunities, validate hypotheses, and optimize product performance, thereby driving key business metrics like engagement, retention, and revenue.

Growth Opportunities:

• Skill Advancement: Deepen expertise in advanced quantitative methodologies, statistical modeling, experimental design, and specific analytical tools. Opportunity to lead research for major product initiatives or new product lines.

• Leadership Development: Grow into a recognized subject matter expert within the organization, influencing research strategy, defining best practices, and mentoring a team of researchers. Potential career path towards Principal Researcher, Research Lead, or even into Product Management or Data Science management roles.

• Cross-Functional Impact: Expand influence by leading research efforts that span multiple product areas or business units, collaborating with senior stakeholders across the organization.

📝 Enhancement Note: The "Senior Staff" title signals a career path focused on deep technical expertise and strategic impact rather than people management. Growth typically involves tackling more complex, ambiguous problems, influencing strategy at a higher level, and becoming a thought leader within the domain.

🌐 Work Environment

Office Type: The job is based in Canada and is described as "Remote OK," suggesting a hybrid or fully remote work arrangement is possible for candidates within Canada. The specific company will determine the exact remote policy and any potential requirements for occasional in-office collaboration.

Office Location(s): While the job is posted for "Canada," specific city or provincial locations are not detailed. The salary tiers might imply flexibility in location within Canada.

Workspace Context:

• A remote or hybrid work environment necessitates strong self-discipline, excellent communication, and the ability to collaborate effectively using digital tools.

• Access to company-provided tools and technologies for research, communication, and collaboration will be crucial.

• Opportunities for interaction with the operations team will likely be through virtual meetings, asynchronous communication channels, and potentially occasional in-person meetups or team offsites.

Work Schedule: Standard full-time hours (approx. 40 hours/week) are expected. Flexibility in start/end times may be possible depending on the partner company's policies, but core hours for collaboration with teams in different time zones (within Canada) will likely apply.

📝 Enhancement Note: The "Remote OK" status within Canada is a key benefit for candidates seeking flexible work arrangements. Applicants should clarify the specific remote policy with the hiring company during the interview process.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A review of your resume and portfolio by Jobgether's AI and/or internal team to assess initial fit.

2. Hiring Manager Screen: A conversation with the hiring manager to discuss your background, experience, and alignment with the role's core responsibilities and team needs. This is a good time to ask about the specific company and team culture.

3. Research Deep Dive: A technical interview focusing on your quantitative research methodologies, statistical analysis skills, and practical application. This may involve discussing past projects in detail and problem-solving scenarios.

4. Case Study/Take-Home Assignment: You might be asked to complete a take-home assignment or present a detailed case study from your portfolio. This will assess your ability to apply quantitative methods to a real-world problem, analyze data, and communicate findings.

5. Cross-Functional Interviews: Interviews with key stakeholders (e.g., Product Managers, Designers, Engineers, Data Scientists) to evaluate your collaboration skills, ability to influence, and understanding of product development processes.

6. Final Interview: Potentially a discussion with a more senior leader to assess strategic thinking, leadership potential, and overall cultural fit.

Portfolio Review Tips:

• Quantify Impact: For each project, clearly articulate the business problem, your role, the methods used, your key insights, and – most importantly – the measurable impact of your work. Use numbers and metrics whenever possible.

• Showcase Process: Detail your methodology, including how you designed surveys, selected samples, conducted analyses, and validated findings. Explain why you chose specific methods.

• Data Visualization: Highlight your ability to create clear, informative, and compelling visualizations that tell a story and support your conclusions.

• Strategic Thinking: Demonstrate how your research informed strategic decisions and influenced product direction.

• Tailor to the Role: Emphasize projects that showcase expertise in quantitative methods, survey research, statistical analysis (R/SQL), and influencing cross-functional teams.

Challenge Preparation:

• Be ready to discuss complex quantitative research challenges you've faced and how you overcame them.

• Prepare to walk through a detailed case study from your portfolio, focusing on your critical thinking, problem-solving approach, and analytical rigor.

• Practice articulating technical concepts and research findings clearly and concisely to both technical and non-technical audiences.

• Research the partner company's products and industry to understand potential research challenges and opportunities they might face.

📝 Enhancement Note: The interview process is likely multi-stage and rigorous, typical for senior-level roles. A strong, impact-driven portfolio is crucial, and candidates should be prepared to defend their methodological choices and demonstrate strategic influence.

🛠 Tools & Technology Stack

Primary Tools:

• Statistical Analysis: Advanced proficiency in R is a requirement. Experience with other statistical software (e.g., SPSS, SAS, Stata) may be beneficial but R is explicitly mentioned.

• Data Manipulation & Integration: Strong SQL skills are required for data extraction and integration from databases and behavioral analytics platforms.

• Survey Platforms: Experience with professional survey platforms (e.g., Qualtrics, SurveyMonkey Enterprise, Alchemer, Datawrapper) for designing, deploying, and managing complex surveys.

Analytics & Reporting:

• Behavioral Analytics Tools: Familiarity or experience with platforms such as Amplitude, Mixpanel, Google Analytics, or similar tools for analyzing user behavior data.

• Data Visualization Tools: Proficiency in creating compelling data visualizations using R packages (e.g., ggplot2, plotly) or dedicated BI tools (e.g., Tableau, Power BI, Looker) to communicate findings effectively.

CRM & Automation:

• While not explicitly listed as a primary tool for this research role, understanding how CRM data (e.g., Salesforce) and marketing automation platforms can be sources or complements to user research data would be advantageous.

• Experience with project management and collaboration tools (e.g., Jira, Asana, Confluence, Slack, Microsoft Teams) is essential for remote work and cross-functional collaboration.

📝 Enhancement Note: The explicit mention of R and SQL signifies a deep analytical requirement. Candidates should be ready to discuss their specific experience with these tools and how they've used them to derive insights from complex datasets.

👥 Team Culture & Values

Operations Values:

• Data-Driven: A core value is likely the commitment to evidence-based decision-making, where insights derived from data and research guide product and business strategies.

• User-Centricity: Placing the user at the heart of product development, ensuring that user needs, behaviors, and feedback are central to all decisions.

• Collaboration: Fostering a highly collaborative environment where cross-functional teams work together seamlessly to achieve common goals, valuing diverse perspectives.

• Impact & Accountability: A focus on delivering tangible business impact through research, with a strong sense of ownership and accountability for driving positive outcomes.

• Continuous Improvement: A culture that embraces learning, experimentation, and the refinement of processes and methodologies to achieve greater efficiency and effectiveness.

Collaboration Style:

• Proactive Partnership: Engaging with product, design, and engineering teams early and often to identify research opportunities and ensure alignment.

• Data-Driven Storytelling: Presenting research findings in a clear, compelling, and actionable manner that resonates with diverse stakeholders, facilitating understanding and buy-in.

• Constructive Feedback: Participating in a culture of open feedback, both giving and receiving, to continuously improve research quality and team performance.

• Knowledge Sharing: Actively sharing insights, methodologies, and best practices within the research team and the broader organization to elevate the collective understanding of users.

📝 Enhancement Note: The emphasis on "Senior Staff" implies a need for someone who can embody and promote these values, potentially guiding others in their application. The culture likely rewards individuals who can bridge the gap between complex data analysis and strategic business decisions.

⚡ Challenges & Growth Opportunities

Challenges:

• Ambiguity & Scale: Navigating ambiguous business questions and tackling research challenges at a scale impacting millions of users, requiring robust methodologies and strategic prioritization.

• Data Integration: Synthesizing insights from disparate data sources (surveys, behavioral analytics, market data) to form a cohesive understanding of user behavior.

• Influencing Stakeholders: Effectively communicating complex quantitative findings and persuading stakeholders at all levels to adopt user-centered recommendations and drive change.

• Balancing Rigor and Speed: Delivering high-quality, impactful research insights within fast-paced agile development cycles.

Learning & Development Opportunities:

• Advanced Methodologies: Opportunity to explore and implement cutting-edge quantitative research techniques, such as causal inference, advanced statistical modeling, or predictive analytics.

• Strategic Influence: Developing skills in influencing product strategy at a higher level, contributing to company-wide OKRs and roadmaps.

• Mentorship and Thought Leadership: Growing as a mentor for other researchers and becoming a recognized expert in quantitative user research, potentially presenting at industry conferences or contributing to internal knowledge bases.

• Cross-Disciplinary Learning: Collaborating closely with data scientists and product managers to deepen understanding of data infrastructure, product analytics, and business strategy.

📝 Enhancement Note: This role presents a significant opportunity for a seasoned researcher to tackle complex, high-stakes problems, hone their strategic influence, and contribute to the growth of a data-informed product organization. The challenges are inherent to senior-level roles in successful tech companies.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex business problem you tackled using quantitative research. What was your approach, what insights did you uncover, and what was the ultimate impact on the product or business?" (Focus on end-to-end ownership, methodology, and quantifiable outcomes.)

• "How do you balance the need for research rigor with the demands of a fast-paced agile development environment? Provide an example." (Demonstrate your ability to deliver timely, actionable insights without sacrificing quality.)

Company & Culture Questions:

• "What do you know about our company and our products? What user research opportunities do you see for us?" (Research the partner company's products and market position.)

• "How do you approach mentoring junior researchers or sharing your expertise with cross-functional teams?" (Highlight your collaborative and leadership qualities.)

Portfolio Presentation Strategy:

• Structure is Key: For each case study, clearly outline the problem, your role, methodology (including why you chose it), key findings, recommendations, and measurable impact.

• Quantify Everything: Use numbers to demonstrate the scale of your research, the significance of your findings, and the business impact of your work.

• Tell a Story: Weave a narrative that highlights your critical thinking, problem-solving process, and strategic contribution.

• Be Prepared for Deep Dives: Anticipate questions about your statistical methods, sampling strategies, potential biases, and alternative approaches.

• Showcase R/SQL Usage: If possible, highlight projects where you heavily utilized R and SQL for analysis and data integration.

📝 Enhancement Note: Interview preparation should focus on highlighting strategic impact, deep quantitative expertise, and strong influencing skills. Candidates must be ready to provide concrete examples and articulate their thought processes in detail.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Jobgether platform.

• Portfolio Customization: Curate your portfolio to prominently feature 2-3 quantitative research projects that best demonstrate your expertise in survey design, statistical analysis (R/SQL), and driving product impact. Ensure each case study clearly articulates the problem, your methodology, key insights, and quantifiable business outcomes.

• Resume Optimization: Tailor your resume to highlight your 8+ years of experience in quantitative user research, leadership/mentorship activities, and proficiency with R and SQL. Use keywords from the job description and quantify achievements wherever possible.

• Interview Preparation: Practice articulating your research process, explaining complex statistical concepts, and detailing how your work has influenced product strategy and business results. Prepare specific examples for behavioral questions related to collaboration, influence, and mentorship.

• Company Research: Thoroughly research the partner company (if identifiable) and its products. Understand their market, user base, and potential product challenges to tailor your responses and showcase your strategic thinking.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.