Staff Quantitative User Researcher

MozillaMozilla·Remote(Remote US)
Design

WFA Digital Insight

The demand for user researchers with strong quantitative skills has surged, with companies like Mozilla leading the charge. As a staff quantitative user researcher, you'll be at the forefront of shaping product strategy with data-driven insights. With the global user research market expected to grow significantly, professionals with expertise in quantitative methods are in high demand. Mozilla's commitment to making the internet better for people, not companies, sets it apart in the industry. Before applying, candidates should be aware of the importance of championing user-centered decision-making and the need for strong collaboration skills in this role.

Job Description

About the Role

As a Staff Quantitative User Researcher at Mozilla, you will be an integral part of the Firefox User Research team, driving human-centered exploration of complex problems. Your work will focus on using evidence, data, and insight to inform product and design strategy. This role is perfect for someone who is passionate about understanding user needs and behaviors at scale and translating those findings into actionable insights.

The Firefox User Research team is dedicated to championing user-centered decision-making, and as a Staff Quantitative User Researcher, you will play a key role in this effort. You will work closely with cross-functional teams, including product managers, designers, engineers, data scientists, and fellow researchers, to develop a research roadmap and identify high-impact research opportunities.

Mozilla is a non-profit-backed technology company that has been shaping the internet for the better over the last 25 years. With a strong focus on diversity, equity, and inclusion, Mozilla is committed to making the internet a better place for everyone. As a Staff Quantitative User Researcher, you will be part of a company that values openness, participation, and community.

What You Will Do

  • Own strategic, end-to-end quantitative research initiatives from scoping business needs to communicating actionable recommendations
  • Lead survey research across the product development lifecycle, using quantitative insights to measure and influence product and business decisions
  • Partner with product, design, engineering, data science, and marketing teams to develop a research roadmap and identify high-impact research opportunities
  • Analyze and translate complex data sources, such as surveys, behavioral data, and market intelligence, to build cohesive, evidence-based perspectives on user experience and audience insights
  • Champion user-centered decision-making by embedding quantitative research into product strategy and advocating for user needs
  • Help elevate the quantitative research practice by mentoring peers, refining methods and tools, and scaling approaches that increase the visibility and impact of user insights
  • Develop and maintain a deep understanding of Mozilla's products, users, and market trends
  • Collaborate with stakeholders to prioritize research initiatives and allocate resources effectively
  • Stay up-to-date with industry trends and advancements in quantitative research methods and technologies

What We Are Looking For

  • 7+ years of experience in a user, product, or market research setting or similar, with a strong focus on quantitative research
  • Extensive experience leading survey research across the product development lifecycle
  • Strong understanding of statistical analysis and data visualization techniques
  • Experience working with cross-functional teams, including product, design, engineering, and marketing
  • Excellent communication and collaboration skills, with the ability to present complex research findings to both technical and non-technical audiences
  • Strong problem-solving skills, with the ability to analyze complex data sets and draw meaningful insights
  • Experience with research tools and technologies, such as survey software, data analysis platforms, and statistical programming languages
  • Strong understanding of user-centered design principles and human-computer interaction

Nice to Have

  • Experience working in the tech industry, particularly in a company with a strong focus on user experience and product development
  • Knowledge of machine learning and artificial intelligence concepts and their applications in user research
  • Experience with cloud-based data platforms and tools, such as AWS or Google Cloud
  • Familiarity with agile development methodologies and version control systems, such as Git

Benefits and Perks

  • Competitive salary and benefits package
  • Opportunity to work on high-impact projects that shape the future of the internet
  • Collaborative and dynamic work environment with a team of experienced professionals
  • Flexible working hours and remote work options
  • Professional development opportunities, including training and conference attendance
  • Access to cutting-edge technologies and tools
  • Comprehensive health insurance and retirement savings plan
  • Generous paid time off and holidays
  • Parental leave and family care benefits
  • Employee assistance program and mental health support

How to Stand Out

  • Tip: When applying for this role, make sure to highlight your experience with quantitative research methods and tools, such as survey software and data analysis platforms.
  • Tip: Be prepared to discuss your approach to analyzing complex data sets and drawing meaningful insights, as well as your experience with data visualization techniques.
  • Tip: Show a strong understanding of user-centered design principles and human-computer interaction, and be prepared to discuss how you have applied these principles in your previous work.
  • Tip: Emphasize your ability to communicate complex research findings to both technical and non-technical audiences, and provide examples of your experience with stakeholder management and collaboration.
  • Tip: Research Mozilla's products and mission, and be prepared to discuss how your skills and experience align with the company's goals and values.
  • Tip: Be prepared to discuss your experience with machine learning and artificial intelligence concepts, and how you have applied these in your previous work.
  • Tip: Show enthusiasm for the company's mission and values, and be prepared to discuss how you can contribute to the team's success.

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