Researcher

ParentPay Group; United Kingdom; Remote; GBP 40,000 - 60,000; Full time

Job summary

A leading company in education technology is seeking a Researcher passionate about quantitative and qualitative methods. You will lead significant studies to understand user behaviors while mentoring teams in research practices. This permanent full-time role offers a unique opportunity to turn data into actionable insights and foster a culture of curiosity.

Qualifications

• Solid experience in both qualitative and quantitative research techniques.
• Confident running interviews, usability testing, and workshops with a focus on actionable insights.
• Used to working with Agile teams throughout the product lifecycle.

Responsibilities

• Lead quantitative research and design large-scale surveys.
• Mentor product designers on qualitative research methods.
• Turn complex datasets into actionable insights.

Skills

Mixed methods research skills

Cross functional communication

Coaching mindset

Customer empathy

Education

Degree in Psychology, HCI, Sociology, or related field

Tools

Qualtrics

SurveyMonkey

Job description

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Description

We’re looking for a Researcher with strong expertise in both quantitative and qualitative methods, and a passion for helping product teams make informed, customer-led decisions.

Application Deadline: 27 August 2025

Department: Product

Employment Type: Permanent - Full Time

Location: Remote, UK

Description

We’re looking for a Researcher with strong expertise in both quantitative and qualitative methods, and a passion for helping product teams make informed, customer-led decisions.

You’ll take ownership of large-scale quantitative studies across our portfolio, helping us to deeply understand our users’ behaviours and needs. At the same time, you’ll play a key role in mentoring product designers and cross-functional teams in qualitative methods such as usability testing, interviews, and co-design.

This is a great opportunity for someone who loves turning data into insights that shape real-world outcomes and enjoys coaching others to build a culture of curiosity and learning.

Key Responsibilities

• Leading quantitative research: Design and run large-scale surveys, usage analytics, and experimental tests to generate actionable insights
• Mentoring on qualitative research: Support and coach product designers in methods like usability testing, interviews, and diary studies
• Embedding research into product teams: Work closely with cross-functional teams to ensure research is considered throughout the design and delivery process
• Synthesising insights: Turn complex data sets (both qual and quant) into clear, compelling findings that inform design and business decisions
• Democratising research: Help others understand and apply research through templates, training, and collaborative practices
• Planning strategically: Scope and prioritise research efforts to align with product roadmaps and business needs
• Promoting evidence-based design: Encourage a culture of informed decision-making through storytelling, workshops, and regular research sharing
• Cross functional collaboration: Partner with Product Managers, Designers, and Analysts to spot opportunities and define customer-centric solutions
• Improving research practices: Continuously review and refine our research approach, tools, and repository
  
  

Skills, Knowledge and Expertise

• Mixed methods research skills: Solid experience in both qualitative and quantitative research techniques
• Qualitative depth: Confident running interviews, usability testing, and workshops, with examples of translating findings into action
• Cross functional communication: Able to present insights in a structured and engaging way to different audiences
• Coaching mindset: Comfortable mentoring others and improving their research skills
• Product experience: Used to working with Agile teams, contributing at every stage of the product lifecycle
• Customer empathy: A strong belief in putting users first, and experience advocating for their needs
• Education or equivalent experience: A degree or equivalent experience in Psychology, HCI, Sociology, or a related field for example statistics, maths, science
• Quantitative fluency: Able to plan, run, and analyse large-scale studies using tools like Qualtrics, or SurveyMonkey; familiarity with tools like Dovetail, R, Python is desirable but not required
• Sector knowledge: Experience in Education is a bonus but not required

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Technology, Information and Internet

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