Senior Insights Researcher

Hard Rock Digital

4d•Hybrid

About The Position

Hard Rock Digital is looking for a Senior Insight Researcher to join the growing Consumer Insights team. Reporting to the Senior Insights Manager, the role will work on and run qualitative and quantitative research across a mix of delivery models: in-house, jointly delivered with an agency, or fully managed by an agency. Working across Marketing, Brand, Product and BI, the Senior Insight Researcher will work on projects that inform brand, product, creative and promotional decisions across the North American sportsbook and casino business. This is a hands-on role for a rigorous and curious researcher who is comfortable moving between research design, survey scripting, fieldwork, analysis and reporting. Success requires strong project management, close attention to detail, strong market research skills, and a practical understanding of consumer behavior and the evolving gambling landscape. This is not just an insight role; managing the market research aspect will also be key.

Requirements

At least four years' experience in consumer insights or market research, agency and/or client side, ideally within digital products, gambling, gaming or another regulated consumer sector; a relevant degree or equivalent practical experience
Strong hands-on experience delivering qualitative and quantitative research end-to-end, across ad hoc studies and tracking programmes such as brand trackers, ad testing, proposition evaluation and usage and attitudes (U&A) research.
Confidence writing questionnaires and qualitative discussion guides, and scripting or quality-checking studies in Qualtrics, SurveyMonkey, UserTesting or similar platforms.
Strong analytical skills and comfort working across customer, panel, behavioural and syndicated data, using tools such as Excel, Q, SPSS, Power BI or Tableau; able to conduct, scope or critically review techniques such as driver analysis and MaxDiff.
Experience briefing and managing research agencies, supporting RFQs, proposal reviews, contracts and vendor onboarding, and working across in-house, hybrid and agency-managed projects.
A clear communicator who can turn findings into dashboards, full reports and concise senior-level deliverables, adapting the story and level of detail to different audiences.
A hands-on, collaborative and organised team member who works well in a fast-paced environment and uses AI-assisted tools responsibly, with sound judgement around research ethics, participant data and confidentiality with senior guidance
An understanding of research ethics, participant consent and data privacy, with the judgement to handle player information responsibly.
Self-motivated, disciplined and organized, with the ability to work effectively in a remote environment and communicate confidently with colleagues and vendors through video calls and platforms such as Slack and Microsoft Teams

Responsibilities

Work closely with the team lead and cross-functional stakeholders to translate business questions into clear research plans, selecting the most appropriate methodology and delivery model for each project.
Draft RFQ and run agency-selection processes with the team lead: brief existing and prospective vendors, assess proposals against business and research needs, and support with contract or statement-of-work reviews, vendor onboarding and ongoing supplier management.
Manage qualitative and quantitative ad hoc and tracking research end-to-end. Typical projects include brand trackers, advertising and creative testing, proposition evaluation, consumer surveys, usage and attitudes (U&A) studies, competitive evaluation studies, segmentation or customer-experience research.
Write and review research materials, including briefs, questionnaires, analysis specifications and qualitative discussion guides.
Script and quality-check surveys or unmoderated studies in platforms such as SurveyMonkey, Qualtrics and UserTesting.
Analyse and interpret data from customer, panel, behavioural, syndicated and other sources.
Conduct or scope techniques such as driver analysis, conjoint and MaxDiff, and confidently review agency analysis, assumptions and outputs.
Work with large or complex datasets to identify meaningful patterns.
Note that where appropriate we fully embrace using AI-assisted research tools responsibly to improve activities such as scripting, transcription, coding, analysis and summarisation, while applying rigorous and appropriate quality checks, following compliant guideline and protecting participant and company data.
Translate findings into actionable recommendations delivered through dashboards, comprehensive reports and concise executive summaries or debriefs, tailoring the level of detail and format to different audiences.