Sr Staff Quantitative User Researcher in Canada Creek, Nova Scotia at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Staff Quantitative User Researcher in Canada.

This role offers an exciting opportunity to lead high-impact, data-driven research initiatives that shape digital products used by millions. You will guide complex quantitative studies from design to insights, translating data into actionable recommendations that influence strategy across product, design, engineering, and marketing teams. The environment is collaborative, fast-paced, and focused on evidence-based decision-making, where your work directly affects user experiences and business outcomes. This position blends strategic leadership with hands-on research, offering a chance to mentor peers, refine methods, and champion user-centered practices at scale.

The Senior Staff Quantitative User Researcher will:

• Lead end-to-end quantitative research initiatives, from scoping business needs and designing surveys to analyzing data and delivering actionable insights.
• Embed quantitative insights throughout the product lifecycle, including opportunity discovery, prioritization, concept testing, and post-launch evaluation.
• Collaborate cross-functionally with product, design, engineering, data science, and marketing to align research with business goals and strategy.
• Synthesize complex data sources—including surveys, behavioral analytics, and market research—into clear, evidence-based recommendations.
• Advocate for user-centered decision-making and influence stakeholders at all levels to prioritize user needs.
• Mentor and guide peers, advancing quantitative research practices and amplifying the impact of user insights across teams.

Candidates should bring:

• 8+ years of experience in user research, product research, or applied research, with a strong emphasis on quantitative methods.
• Expertise in survey research across product lifecycle stages, from discovery to post-release measurement.
• Deep knowledge of empirical survey methods, including sampling, weighting, statistical analysis, and various survey applications.
• Advanced proficiency in R for statistical analysis and experience integrating behavioral data using SQL.
• Ability to craft compelling, data-driven narratives with clear visualizations.
• Experience in fast-paced, agile environments, balancing research depth and speed to deliver impactful insights.
• Strong collaborative and communication skills, capable of influencing cross-functional teams and supporting mixed-method research designs.
• Commitment to inclusive practices and values-driven teamwork.

• Competitive salary range (Canada Tier 1: $142,000–$189,000 CAD; Tier 2: $128,000–$171,000 CAD).
• Generous performance-based bonus plans.
• Comprehensive medical, dental, and vision coverage.
• Immediate vesting on retirement contributions.
• Paid wellness days, birthdays off, and country-specific holidays.
• One-time home office stipend and annual professional development budget.
• Quarterly well-being stipend and substantial parental leave.
• Employee referral bonuses and additional benefits (life/AD&D, disability, EAP, etc.).