Spotlight Sports Group

User Researcher

• Work closely with the Lead Researcher and User Researcher to ensure that the research activities are run efficiently
• Work effectively with UX & UI designers and product managers to translate research findings into actionable insights
• Assist to collect and analyse research findings for a variety of projects, ranging from discovery to validation
• Assist in planning and conducting user research activities (e.g. usability testing, interviews, surveys)
• To build up to taking lead responsibility for qualitative interviews in research projects
• Responsible for user research operations and participant data management
• Responsible for the development and the maintenance of the user research repository, including research findings, reports and documentation
• Contribute to research projects, conduct research sessions, and effectively document and analyse findings
• Start presenting user research findings within the Product and PD&R and occasionally other related departments

Junior User Researcher

Data Analyst

• Insight Generation: Go beyond BAU reporting to proactively identify trends, patterns, and opportunities in customer behaviour, lifecycle progression, segmentation, and product engagement, linking insight to commercial and strategic outcomes.
• Stakeholder Collaboration: Work closely with squads, product teams, and leadership to understand challenges, shape hypotheses, and deliver insights that influence strategic decisions.
• Data Storytelling: Translate complex datasets and analysis into clear, compelling narratives that drive action, ensuring insights are accessible and meaningful for stakeholders with varying levels of data fluency.
• Impact Measurement: Develop and implement robust measurement frameworks, including test-and-learn approaches, to evaluate the success of business changes and ensure decisions are evidence-based and continuously refined.
• Championing a Data-Driven Culture: Advocate for data as a strategic asset, challenging assumptions and embedding insight-led decision-making across Content, Product, CRM, and Commercial teams.
• Automation for Efficiency: Streamline and automate recurring reporting and analysis, maximising time spent on high-value insight generation rather than manual data preparation.